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Improving nutritional value of pig diets containing local crops and co-products by fermentation and enzyme addition Ph.D. thesis by Grethe Venås Jakobsen Section for Immunology and Microbiology Department of Animal Science Faculty of Science and Technology Aarhus University Denmark November 2014

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Page 1: Improving nutritional value of pig diets containing local ...pure.au.dk/portal/files/84469360/PhDthesis_G_V_Jakobsen.pdfImproving nutritional value of pig diets containing local crops

Improving nutritional value of pig diets containing local crops

and co-products by fermentation and enzyme addition

Ph.D. thesis by

Grethe Venås Jakobsen

Section for Immunology and Microbiology

Department of Animal Science

Faculty of Science and Technology

Aarhus University

Denmark

November 2014

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Supervisors:

Senior Researcher Nuria Canibe, PhD – Department of Animal Science, Faculty of Science and

Technology, Aarhus University, Tjele, Denmark.

Senior Researcher Emeritus Bent Borg Jensen, PhD - Department of Animal Science, Faculty of

Science and Technology, Aarhus University, Tjele, Denmark.

Assessment Committee:

Professor Hans Henrik Stein, PhD - Department of Animal Sciences, University of Illinois, Illinois,

USA.

Professor Jan Erik Lindberg, PhD - Department of Animal Nutrition and Management, Swedish

University of Agricultural Sciences, Uppsala, Sweden.

Associate Professor Jan Værum Nørgaard, PhD - Department of Animal Science, Faculty of

Science and Technology, Aarhus University, Tjele, Denmark.

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Preface

This Ph.D. thesis has been submitted to the Faculty of Science and Technology, Aarhus

University (AU), Denmark. It represents my work done at Department of Animal Science, in the

research group of Immunology and Microbiology. For all carbohydrate analysis I used the facilities

in the research group of Molecular Nutrition and Cell Biology, Department of Animal Science, AU.

The Ph.D. project was part of the research project called “Inexpensive liquid feed based on local

crops and co-products”. The study was performed from November 2009 to November 2014,

interrupted by two maternity leaves; giving in a total study time of 38 months.

Senior researcher Nuria Canibe, research group of Immunology and Microbiology, AU, has been

main supervisor and senior researcher emeritus Bent Borg Jensen, Immunology and Microbiology,

AU, has been co-supervisor.

The Ph.D. project was funded by The Ministry of Food, Agriculture and Fisheries, The Danish

Agrifish Agency and by the Graduate School of Science and Technology at AU.

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Acknowledgements

Many people have crossed my path during this Ph.D. study and have in different ways

contributed to the completion of this thesis. First of all I would like to thank my two supervisors

Nuria Canibe and Bent Borg Jensen for inviting me to be part of the research group of Immunology

and Microbiology, for excellent supervision, for good discussions and for always taking the time.

Also a special thanks to Knud Erik Bach Knudsen for letting my use his laboratory facilities for

NSP analysis and for reviewing my manuscripts.

I wish to thank the laboratory technicians in the group of Immunology and Microbiology and in

the group of Molecular Nutrition and Cell Biology for skilful technical supervision, for lending me

a hand in stressful times, and for creating a pleasant work environment. I also acknowledge the staff

in the D23 pig section for helping with running animal experiments.

Delivery of enzymes and review of manuscripts by Vibe Glitsø from Novozymes A/S and Elijah

Kiarie from DuPont Industrial Biosciences-Danisco UK Ltd is acknowledged.

A warm thanks to former office mates Morten Poulsen and Henrik Vestergaard Poulsen for

creating to a fun and inspiring Ph.D. environment. Thanks to present office mates Xiaoqiong Li and

Zhigang Zhu for support and understanding in the final period, and a special thanks to friend and

colleague Rikke Munkholm Kjærup for being my own personal hotline.

A challenge during my Ph.D. study has been to balance work and being a mother to two small

children. In this relation, I would like to thank the two grandmothers for babysitting during

sickness, holydays and weekends, especially during the last six months of my study. Finally, a

heartfelt thank you to my husband, Visti, for supporting me in my choice of career, for being patient

and for reminding me that life is many other things than a Ph.D.

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Table of content

Preface ....................................................................................................................................................................... 1

Acknowledgements .................................................................................................................................................... 2

List of original manuscripts ......................................................................................................................................... 4

Other scientific presentations..................................................................................................................................... 5

List of abbreviations ................................................................................................................................................... 6

Summary .................................................................................................................................................................... 7

Resumé (Danish summary) ......................................................................................................................................... 8

1. General introduction .............................................................................................................................................10

2. Alternative feed – locally grown crops and biofuel co-products .............................................................................10

2.1. High-moisture maize ............................................................................................................................................. 11

2.2. Peas ....................................................................................................................................................................... 12

2.3. Rapeseed cake ....................................................................................................................................................... 13

2.4. Wheat dried distillers grains with solubles ............................................................................................................ 15

3. Carbohydrates .......................................................................................................................................................16

3.1. Chemical structure ................................................................................................................................................. 16

3.2. Non-starch polysaccharides in feed ingredients .................................................................................................... 18

3.3. Digestibility of carbohydrates in pigs .................................................................................................................... 19

3.4. Analysis of non-starch polysaccharides ................................................................................................................. 22

4. Strategies to improve the nutritional value of NSP-rich diets for pigs ....................................................................25

4.1. Fermented liquid feed ............................................................................................................................................ 25

4.2. Enzyme addition .................................................................................................................................................... 33

4.3. Enzyme addition during fermentation ................................................................................................................... 36

4.4. Other strategies to improve nutritional value of feed ........................................................................................... 38

5. Hypotheses and aims .............................................................................................................................................40

6. Manuscript I ..........................................................................................................................................................41

7. Manuscript II .........................................................................................................................................................87

8. Manuscript III ...................................................................................................................................................... 119

9. General discussion ............................................................................................................................................... 151

9.1. Identifying enzymes with an effect on non-starch polysaccharides and crude protein ....................................... 151

9.2. In vivo digestibility studies on alternative ingredients for pigs ........................................................................... 153

10. Conclusions ........................................................................................................................................................ 162

10.1 Perspectives ........................................................................................................................................................ 164

10.2. Future work ....................................................................................................................................................... 167

References ............................................................................................................................................................... 168

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List of original manuscripts

This thesis is based on the following three manuscripts:

I. Grethe Venås Jakobsen, Bent Borg Jensen, Knud Erik Bach Knudsen, Nuria Canibe.

Improving the nutritional value of rapeseed cake and wheat dried distillers grains with

solubles by addition of enzymes during liquid fermentation.

Submitted to Animal Feed Science and Technology.

II. Grethe Venås Jakobsen, Bent Borg Jensen, Knud Erik Bach Knudsen, Nuria Canibe.

Fermentation and addition of enzymes to a diet based on locally grown crops improve

digestibility of non-starch polysaccharides, CP and P in pigs.

Submitted to Journal of Animal Science.

III. Grethe Venås Jakobsen, Bent Borg Jensen, Knud Erik Bach Knudsen, Nuria Canibe.

Impact of fermentation and addition of non-starch polysaccharide-degrading enzymes on

digestibility of dried distillers grains with solubles in pigs.

Submitted to Livestock Science.

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Other scientific presentations

G.V. Jakobsen, B. B. Jensen, K.E. Bach Knudsen and N. Canibe. 2011. Enzyme addition to

rapeseed cake during liquid fermentation - a means of improving its nutritional value.

Abstract/poster presentation, Laboratory Medicine Congress, Food in Front, 23-24 May, Odense,

Denmark. Page 44.

G.V. Jakobsen, B. B. Jensen, K.E. Bach Knudsen and N. Canibe. 2012. Improving the nutritional

value of rapeseed cake - Enzyme addition during liquid fermentation. Abstract/poster presentation,

XII International Symposium on Digestive Physiology of Pigs, 29 May - 1 June, Keystone, CO,

USA. Page 142.

G.V. Jakobsen, B. B. Jensen, K.E. Bach Knudsen and N. Canibe. 2012. Fermentation combined

with enzyme supplementation – A strategy to improve both nutritional value of rapeseed cake and

gastrointestinal health of pigs? Abstract/poster presentation, International Symposium on

Alternatives to Antibiotics: Challenges and Solutions in Animal Production, 25-28 September,

Paris, France. Page 3.16.

G.V. Jakobsen, B. B. Jensen, K.E. Bach Knudsen and N. Canibe. 2014. Influence of fermentation

and enzyme addition on digestibility of a rapeseed cake rich diet in pigs. Abstract/oral presentation,

65th Annual Meeting of the European Federation of Animal Science, 25-29 August, Copenhagen,

Denmark. Page 174.

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List of abbreviations

AA Amino acids AID Apparent ileal digestibility

ATTD Apparent total tract digestibility AX Arabinoxylan

BFCA Branched chain fatty acids Cel Cellulase

CP Crude protein DDGS Dried Distillers Grains with Solubles

DM Dry matter DP Degree of polymerisation

Enz Enzyme FLF Fermented liquid feed

FTU Phytase activity unit GC Gas chromatography GI-tract Gastrointestinal tract Glu β-glucanase

HMM High-moisture maize HPLC High performance liquid chromatography

LAB Lactic acid bacteria

LF Liquid feed LMW-NDC Low molecular weight – non-digestible carbohydrates

LSM Least square of means N Nitrogen

NCP Non-cellulosic polysaccharides n-FLF Non-fermented liquid feed

NS Non-significant NSP Non-starch polysaccharides

P Phosphorus Pec Pectinase Phy Phytase

RSC Rapeseed cake RSM Rapeseed meal SBM Soyabean meal SCFA Short chain fatty acids

SEM Standard error of means wDDGS Wheat dried distillers grains with solubles

Xyl Xylanase

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Summary

Fluctuating prices on typical ingredients in diets for pigs has challenged pig producers the last

decade. Pig producers hence have a growing interest in utilising alternative and less expensive

ingredients in pig diets. Increased inclusion of locally grown crops from Europe is a possibility that

would save expenses on transportation, and also leave European pig producers less dependent on

the global feed prices. Another possibility is to utilize co-products from the biofuel production,

which is a large and expanding industry, using increasing amounts of especially wheat, maize and

rapeseed in its production of bioethanol and biodiesel.

By evaluating the nutritional value of high-moisture maize (HMM), peas, rapeseed cake (RSC)

and dried distillers grains with solubles (DDGS), the major challenge is the large amount of non-

starch polysaccharides (NSP) in especially RSC and DDGS. Non-starch polysaccharides show low

digestibility in pigs and furthermore they negatively affect the digestibility of crude protein (CP)

and several other nutrients. Fermentation of liquid feed and enzyme addition are promising

strategies to increase the nutritional value of fibre-rich diets, while the combination of the two

strategies until now is scarcely investigated. Hence the primary objectives of this Ph.D. thesis were:

1) to identify one or more enzyme mixtures able to disrupt the NSP fraction in RSC and DDGS

during fermentation, and, as a consequence, solubilise the protein in the two ingredients; 2) to

perform digestibility studies on grower pigs, investigating the digestibility of NSP, CP, phosphorus

(P) and dry matter (DM), as affected by fermentation and concurrent addition of selected enzyme

mixtures on a diet based on locally grown crops (HMM, RSC and peas) and on a diet based on

DDGS.

Results showed that the enzyme mixture of β-glucanase + xylanase + pectinase (GluXylPec)

showed significant reduction of total- and insoluble NSP during fermentation of RSC, along with

increased concentration of soluble CP. In the diet based on locally grown ingredients both total-,

insoluble- and soluble NSP were significantly reduced by addition of GluXylPec during

fermentation. Fermentation alone improved apparent ileal digestibility (AID) of P and numerically

improved AID of total-, insoluble- and soluble NSP, and apparent total tract digestibility (ATTD) of

total- and insoluble NSP. Addition of GluXylPec further improved these NSP parameters to

significant levels. The in vitro fermentation study on DDGS showed potential of several enzyme

mixtures to reduce total NSP during fermentation, the mixtures of xylanase + β-glucanase and

cellulase + xylanase was chosen for digestibility experiments. Fermentation of the DDGS diet

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improved AID of NSP and ATTD of DM and P. Both enzyme treatments increased AID and ATTD

of NSP compared to non-fermented liquid feed. The overall conclusion is that the nutritional value

of alternative diets with NSP-rich ingredients can be improved by fermentation and concurrent

addition of NSP–degrading enzymes. This may be a strategy which in the future can increase the

use of NSP-rich ingredients in diets for pigs.

Resumé (Danish summary)

Svineproducenter har det seneste årti oplevet svingende priser på de typiske ingredienser til

svinefoder. Dette har øget svineproducenternes interesse for at udnytte alternative og billigere

ingredienser til foderet. Én mulighed er at øge brugen af lokale afgrøder fra Europa, hvilket vil

spare på udgifterne til transport, og samtidig gøre europæiske svineproducenter mindre afhængige

af de globale foderpriser. En anden mulighed er at udnytte bi-produkter fra biobrændstof

produktionen. Dette er en stadigt voksende industri der udnytter stigende mængder af især hvede,

majs og raps i produktionen af bioethanol og biodiesel.

En evaluering af næringsværdien af ensileret kernemajs (HMM), ærter, rapskage (RSC) og

tørrede bærme (dried distillers grains with solubles, DDGS), viser at den største udfordring er den

store mængde af ikke-stivelses polysakkarider (NSP) i især RSC og DDGS. Ikke-stivelses

polysakkarider har en lav fordøjelighed i grise, og har desuden en negativ indvirkning på

fordøjeligheden af protein og andre næringsstoffer. Fermentering af vådfoder og enzymtilsætning til

foder er lovende strategier til at øge næringsværdien af fiberrige diæter, mens en kombination af de

to strategier endnu er sparsomt undersøgt. Dette leder til det primære formål med denne Ph.D.

afhandling: 1) at identificere en eller flere enzymblandinger, der er i stand til at opløse eller

nedbryde NSP fra RSC og DDGS under fermentering, og som følge heraf øge opløseligheden af

protein i de to ingredienser; 2) at udføre fordøjelighedsstudier på grise, hvor det undersøges,

hvordan fermentering og samtidig enzymtilsætning påvirker fordøjeligheden af NSP, protein, fosfor

og tørstof i en diæt baseret på lokale afgrøder (HMM, ærter og RSC) og i en diæt baseret på DDGS.

Resultaterne viste, at en enzymblanding af β-glucanase + xylanase + pectinase (GluXylPec)

reducerede total- og uopløselig NSP under fermentering af RSC, samt øgede koncentration af

opløselig protein signifikant. I diæten baseret på lokale afgrøder blev både total-, uopløselig- og

opløselig NSP reduceret ved tilsætning af GluXylPec under fermentering. Fermentering alene

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forbedrede den tilsyneladende ileale fordøjelighed (AID) af fosfor og den tilsyneladende fækale

fordøjelighed (ATTD) af total- og uopløselig NSP, mens AID af total-, uopløselig- og opløselig

NSP blev numerisk forbedret. Tilsætning af GluXylPec øgede yderligere fordøjeligheden af disse

NSP parametre til signifikant niveau. In vitro forsøg med DDGS viste at flere enzymblandinger var

i stand til at reducere koncentration af total NSP under fermentering. Til fordøjelighedsforsøg blev

enzymblandingerne xylanase + β-glucanase og cellulase + xylanase valgt. Fermenteringen alene

forbedrede AID af NSP og ATTD af tørstof og fosfor på DDGS diæten. Begge enzymblandinger

øgede AID og ATTD af NSP sammenlignet med den ufermenterede vådfoder diæt. Den samlede

konklusion er, at næringsværdien af alternative diæter med NSP-rige ingredienser kan forbedres ved

fermentering og samtidig tilsætning af NSP-nedbrydende enzymer. Denne strategi kan muligvis i

fremtiden øge brugen af NSP-rige ingredienser i foder til grise.

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1. General introduction

Pig production is an important sector of the Danish industry. With a total production of 29

million in 2013 (Statistics of Denmark, 2013), Denmark is one of the five leading pig producing

countries in Europe. Of the meat produced in Denmark, approx. 90 % is exported (Danish

Agriculture and Food Council, 2014), and the total export of swine related products (live animals,

meat, and processed food) amounted to 32 billion DKK in 2013 (Statistics of Denmark, 2013),

corresponding to approx. 5.2 % of the total Danish export.

In 2007, a drought in grain-producing countries resulted in a worldwide increase of prices on

grains typically used as feed for pigs. Especially the price of wheat was affected with an increase of

66 % from 2006 to 2007 (OECD-FAO, 2013). Since 2007, the prices on grains and other typical

feed ingredients for pigs have been highly fluctuating. The underlying reason for this unstable

market can be related to an increasing demand of specific crops, e.g. from the increasing use of

crops for biofuel production (food vs. fuel) and also from an increased consumption of these crops

from the expanding middle-class population of Asia (Jensen et al., 2013).

As a typical diet for Danish pigs is composed of primarily wheat and barley (Danish Agriculture

and Food council, 2014), Danish pig producers are greatly affected by the fluctuating prices of these

ingredients. In order to sustain a cost-effective pig production in Denmark, and keep the global

market share, this problem needs to be addressed. A possible strategy to ameliorate the negative

impact of high feed prices could be to increase the level of alternative ingredients in pig diets.

2. Alternative feed – locally grown crops and biofuel co-products

Increasing the inclusion rate of locally grown crops and co-products from the biofuel industry in

diets for pigs has the potential of reducing the cost for feed and making the pig producer less

dependent on the global production of a few crops. By using locally grown crops, costs on

transportation can be saved, hereby also reducing CO2 emission related to transport. Utilizing local

crops could also leave Europe less dependent on the high import level, of mainly protein sources.

Biofuel production is a growing industry (OECD-FAO, 2013) and a larger amount of co-products is

therefore available. Co-products are less expensive than the parent crop, but still possess significant

nutritional potential. The use of co-products from biofuel production for animal feeding will

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produce meat for human consumption, hereby also helping to compensate for crops used for biofuel

production rather than food supply (i.e. food vs. fuel dilemma).

2.1. High-moisture maize

Due to a warmer climate in Denmark, the production of maize is increasing (Statistics of

Denmark, 2013), also with the recent possibility of growing full kernel maize in the south of

Denmark (LGseeds, 2010). Maize is considered the most valuable energy source among the grains

due to a high concentration of digestible starch (Table 1), while only about 79 - 97 g/kg DM is

found as non-starch polysaccharides (NSP) (Pedersen et al., 2014), the latter fraction representing a

low nutritional value to pigs (Bach Knudsen, 2014). The amino acid (AA) profile of maize is

however suboptimal with low concentrations of lysine and tryptophan (Sauvant et al., 2004). Maize

is prone to Fusarium infection, with the risk of resulting in elevated levels of mycotoxins in the

feed. Mycotoxins have been reported to result in low feed intake along with several diseases,

especially in pigs (Placinta et al., 1999). Fusarium infections can occur in the field, but also during

storage. Storage infections can to a large degree be inhibited by drying, or wet conservation, either

by addition of acids or by fermentation (silage) (Chulze, 2010).

Table 1. Chemical composition of alternative and traditional feed ingredients for pigs1 (g/kg DM).

Item wDDGS RSC Peas Maize Wheat Barley SBM

NSP 167 – 291 187 - 219 170 – 180 79 - 97 98 – 166 152 - 194 171 - 217

Lignin 44 – 93 72 - 90 12 – 29 7 - 15 15 - 19 12 - 35 16 - 25

Starch <10 – 95 15 - 32 210 - 490 650 - 736 541 – 748 529 – 666 27 – 51

CP2 303 – 463 300 - 397 190 – 300 75 - 91 112 – 174 86 - 168 470 - 541

Fat 73 – 76 150 - 240 13 - 25 34 - 61 25 - 29 21 - 37 13 - 25

1wDDGS, wheat dried distillers grains with solubles; RSC, Rapeseed cake; SBM, soybean meal; 2CP, crude protein.

References: wDDGS (Cozannet et al., 2010; Rosenfelder et al., 2013; Pedersen et al., 2014), RSC (Lodhi et al., 1969;

Slominski and Campbell, 1990; Bach Knudsen, 1997; Gdala et al., 1997; Pastuszewska et al., 2003; Kracht et al., 2004),

Peas (Savage and Deo, 1989; Gdala et al., 1992; Kosson et al., 1994; Bach Knudsen, 1997; Bastianelli et al., 1998;

Perez-Maldonado et al., 1999; Stein et al., 2004), maize (Stein et al., 2004; Pedersen et al., 2014), wheat (Slover et al.,

1969; Åman, 1988; Bach Knudsen, 1997; Bunzel et al., 2011; Rosenfelder et al., 2013), barley (Åman et al., 1985;

Åman and Newman, 1986; Oscarsson et al., 1996), SBM (Bach Knudsen, 1997; Parsons et al., 2000; Kocher et al.,

2002; Jezierny et al., 2011; Goerke et al., 2012)

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High-moisture maize (HMM) (typically 22 – 28 % moisture) can be an alternative to drying

grain aiming at reducing costs. The feeding value of HMM for pigs, expressed as growth

performance and fecal digestibility of various nutrients, has been reported to be similar to - or better

than that of dried maize (Engelke et al., 1984; Castaing et al., 1988; Vilariño et al., 2009).

Furthermore, the study by Vilariño et al. (2009) indicated that the nutritional quality of the protein

is better in non-dried maize, as heating steps during drying of maize can reduce AA digestibility.

2.2. Peas

Unlike the most commonly used protein source for animal feeding, soybean meal, peas can be

grown in Northern Europe, as they are less sensitive to low temperatures during germination and

growth (Miller et al., 2002). Peas are considered a good protein supplement to especially organic

pig producers, as the traditional soybean meal (SBM) has been treated with hexane and furthermore

often is produced through genetic modification; both factors unaccepted in organic farming

(Jezierny et al., 2010). Peas are primarily used as a protein source for pigs but they also contribute

with valuable energy to the diet. The crude protein (CP) content of peas is highly dependent on the

cultivar, and ranges from 190 to 300 g/kg DM (Gdala et al., 1992; Kosson et al., 1994). The AA

profile shows high concentration of lysine, while the sulphur-containing AA and tryptophan are

limited (Leterme et al., 1990; Gdala et al., 1992). Compared to SBM, peas contain a large fraction

of starch, ranging between 210 to 490 g/kg DM (Savage and Deo, 1989). Peas also contain a

relatively high amount of NSP (170 – 180 g/kg DM) (Bach Knudsen, 1997). Normally, NSP is

related to low digestibility in monogastrics, but the fermentability of NSP from peas in the hindgut

of pigs is relatively high (Table 2) (Goodlad and Mathers, 1991; Canibe et al., 1997). This might be

explained by low concentration of xylose contaning polymers, which show lower digestibility,

compared to non-cellulosic glucose residues and uronic acid residues in peas (Longstaff and Mcnab,

1987). Compared to cereal grains, peas contain a relatively large amount of low molecular weight

non-digestible carbohydrates (LMW-NDC, e.g. raffinose, stachyose, and verbascose), which can

impose a nutritional problem mainly to young pigs. When ingesting a large amount of easily

fermentable carbohydrates, the fermentative capacity will be surpassed, in worst case resulting in

diarrhea (Jezierny et al., 2010).

It has been reported in a performance study that peas can replace the whole SBM fraction in pig

diets, without diminishing growth performance or carcass quality (Stein et al., 2006a). In order to

compensate for the deficient AA, it is however important that peas are supplemented with

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crystalline AA. Furthermore, peas contain several anti-nutritional factors that may affect e.g.

palatability (tannins, alkaloids), nutrient digestibility (tannins, protease inhibitors, lectins) and

health of the animal (alkaloids) (Jezierny et al., 2010). The level of these compounds is very

dependent on cultivar, though; with e.g. white flowered peas having markedly reduced levels of

tannins compared to dark flowered peas (Bastianelli et al., 1998); and wrinkle-seeded cultivars

having reduced levels of trypsin inhibitors compared to smooth-seeded cultivars (Valdebouze et al.,

1980).

Table 2. Apparent ileal- and total tract digestibility (%) of DM, CP and NSP in grower pig.

Main diet ingredients AID ATTD References

DM CP NSP DM NSP

wDDGS 55.5 % wDDGS 44.5 % wheat starch

59 57 - 76 - (Pedersen and Lindberg, 2010)

100 % wDDGS (calculated)

- 62–88 - - - (Cozannet et al., 2010)

49.1 % wDDGS 30.8 % maize starch

75 71 15 (Yang et al., 2010)

RSC/RSM 28 % RSM 63 % maize starch

63 66 - 65 - (Yin et al., 1994)

30 % RSM 70 % maize

48 72 - 70 - (Liu et al., 1995)

44.8 % RSC 42.2 % maize starch

- 66-68 - - - (Maison and Stein, 2014)

59 % RSM 27 % Maize starch

60 22 68 (Pustjens et al., 2014)

Peas 30 % peas 50 % wheat

- - - 89 84 (Goodlad and Mathers, 1991)

66 % peas 13 % dextrose 12 % sucrose

73 76 40 91 91 (Canibe et al., 1997; Canibe and Eggum, 1997)

2.3. Rapeseed cake

Rapeseed cake (RSC) is the co-product from mechanical extraction of oil from rapeseed. The oil

can be used for human consumption, or the oil can be mixed with an alcohol and, by a trans-

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esterification process, be used for biodiesel production. Rapeseed cake is a co-product with a fat

content of 150 - 240 g/kg DM (Kracht et al., 2004; Brask et al., 2013); and shares many

characteristics with the related co-product rapeseed meal (RSM) which is the co-product from a

solvent extraction of oil by hexane (Jensen et al., 1995). This extraction method is more effective,

leaving only approx. 50 g fat/kg DM (Brask et al., 2013). The concentration of CP in RSC is high

(300-397 g/kg DM) (Pastuszewska et al., 2003; Brask et al., 2013), with a favourable composition

of AA, high in, especially, the two sulphur-containing AA, methionine and cysteine (Mansour et al.,

1993; Woyengo et al., 2010). The concentration of lysine is high in rapeseed, but due to several

toasting steps, lysine concentrations are often lower in RSC and RSM (Pastuszewska et al., 2003).

The toasting steps, on the other hand, have a beneficial effect on RSC as a feed ingredient, as heat

degrades glucosinolates (Jensen et al., 1995). Rapeseed has a high content of glucosinolates,

secondary plant metabolites known to reduce feed intake due to a sharp and bitter taste (Tripathi

and Mishra, 2007a). However, cultivars like Canola, containing low levels of glucosinolates (and

eruric acids), can be used to overcome this problem (Tripathi and Mishra, 2007b). A nutritional

disadvantage of rapeseed co-products is the high content of NSP, with values between 187 - 219

g/kg DM along with a high level of lignin of approx. 72 - 90 g/kg DM (Bach Knudsen, 1997),

which is a consequence of a large fraction of the hull present in the co-product (Gdala et al., 1997).

Dietary fibre represents a low energy value to pigs, as they lack enzymes able to degrade these

compounds and make them available for digestion (Barrera et al., 2004). Proteins, especially those

originating from the hull, will be encapsulated in the cell wall, which further reduces the nutritional

value of RSC for pigs (Gdala et al., 1998).

Although the prices of rapeseed co-products in general are lower than the price of SBM (USDA,

2014), soybean is still the largely preferred oilseed for animal diets in Europe (Krautgartner et al.,

2012), mainly due to higher concentration of protein along with decreased levels of dietary fibre

(especially lignin) compared to rapeseed co-products. A study by McDonnell et al. (2010) however,

showed that it is possible to substitute SBM with RSM in a diet for pigs without diminishing

performance, although apparent total tract digestibility (ATTD) of nitrogen was significantly

decreased (McDonnell et al., 2010). Another study similarly showed decreased apparent ileal

digestibility (AID) of CP when using RSC and RSM in a diet for pigs (Grala et al., 1998). It was

further found that the use of a dehulled fraction of RSC increased AID of CP and AA (Grala et al.,

1998; Kracht et al., 2004), indicating that dietary fibre has a significant influence on protein

digestibility in rapeseed co-products.

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2.4. Wheat dried distillers grains with solubles

Dried distillers grains with solubles (DDGS) is a co-product from the bioethanol production. In

Europe, the main crop utilized for bioethanol production is wheat (Cozannet et al., 2010). The

starch from wheat is saccharified into fermentable sugars (Figure 1), which are then the substrate

for ethanol production by yeast fermentation (Vohra et al., 2014). The co-products are separated

into wet grains and thin stillage. Unless used for animal feed in the near proximity of the production

plant, the fractions are mixed and dried to the product of DDGS (Stein 2012).

Figure 1. Schematic overview of DDGS production from whole grain. WDGS, wet distillers drains with solubles.

Adapted from Liu (2011).

The low concentration of starch in this product results in high concentration of the other nutrients,

including CP and NSP. The concentration of CP in wheat DDGS (wDDGS) has been measured in

the range of 303 - 463 g/kg DM (Cozannet et al., 2010; Pedersen et al., 2014), which makes

wDDGS a protein-rich feed ingredient. The quality of wDDGS as a protein source for animal

feeding can however vary, as the exact composition of AA have been reported to show large

variation between production plants. However, low lysine concentration and low standardized ileal

digestibility (SID) of lysine have been reported for wDDGS (Cozannet et al. 2010), and also for

maize DDGS (Stein et al., 2006b) compared to the parent grains; which most likely is a result of

Maillard reactions occurring during several heating steps in the bioethanol production process

(Smith et al., 2006). The concentration of NSP in wDDGS has been measured between 167 and 291

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g/kg DM and that of lignin between 44 and 93 g/kg DM (Rosenfelder et al., 2013; Pedersen et al.,

2014), which as for RSC, is a nutritional obstacle in relation to monogastric feeding, both

negatively affecting the energy value and protein digestibility of the product (Nortey et al., 2007b).

Studies on wheat-based DDGS used in diets for pigs are scarce. The reported results however,

indicate that inclusion of wDDGS or similar wheat co-products in pig diets, at the expense of wheat,

reduces the digestible energy of the diet and the CP and AA digestibility (Widyaratne and Zijlstra,

2007; Nortey et al., 2007a). The high content of NSP in DDGS was indicated as the main reason for

the nutritional limitations. For maize DDGS, it has been found that an inclusion rate of 30 % can be

used without significantly affecting growth performance (Stein and Shurson, 2009), although

carcass quality may be affected at levels above 20 % (Xu et al., 2010). The same reduction in

carcass quality is however not expected for DDGS based on wheat; as the content of fat in this

product is lower (Stein and Shurson, 2009). As mentioned, the high level of NSP in wheat-based

DDGS is the main factor affecting growth performance, so, if the digestibility of NSP was

increased, the inclusion of wheat-based DDGS could most likely be increased in diets for pigs.

In summary, the above described ingredients seem to be possible alternatives to traditional

ingredients in diets for pigs. However, the high content of NSP (and lignin) in RSC and DDGS will

constitute a nutritional challenge when composing a diet with a high inclusion rate of these

ingredients.

3. Carbohydrates

3.1. Chemical structure

Carbohydrates are the primary energy source for pigs. Carbohydrates can be divided into

digestible and non-digestible carbohydrates (Figure 2). While starch and sugars are easy digestible

components, non-digestible carbohydrates are NSP (degree of polymerization (DP) ≥ 10), LMW-

NDC (DP 3-9) and resistant starch (RS). Non-starch polysaccharides together with lignin constitute

the cell wall components of plants (Theander et al., 1993), and this fraction has been defined as

dietary fibre (Bach Knudsen, 2014). Non-starch polysaccharides are a very diverse group of

polysaccharides. The constituent monomers of NSP are the hexoses: glucose, galactose and

mannose; the pentoses: xylose and arabinose; the 6-deoxyhexoses: rhamnose and fucose; and the

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uronic acids: glucuronic- and galacturonic acid. These nine molecules can form a great number of

polysaccharide structures, as each monomer can be present in two ring forms and can form several

different glucosidic bonds (Bach Knudsen, 2014). The resulting polysaccharides can be divided into

three main groups; cellulose, hemi-cellulose and pectin.

Figure 2. Classification of carbohydrates.

Non-starch polysaccharides (DP ≥ 10), Low Molecular Weight – Non-Digestible Carbohydrates (LMW-NDC, DP 3 –

9, e.g. raffinose, stacchose, verbascose), and resistant starch (RS) can be classified as non-digestible; while starch and

sugars (e.g. glucose, fructose, sucrose, fructan) as digestible. Different NSP polymers can be divided into three main

subgroups. All NSP structures are composed of the nine constituent monomers. Adapted from Bach Knudsen and

Lærke (2012).

Cellulose is composed of homopolymers of β-(1→4) linked glucose residues. The individual

cellulose chains are inter-linked via hydrogen bonds stabilising the 3D structure (Bach Knudsen,

2014). Due to the hydrogen bonding, celluloses are characterised as insoluble structures

(Selvendran, 1984). Hemi-cellulose is a diverse group of molecules characterised as

heteropolymers. The main hemi-celluloses of plants are arabinoxylans (AX), β-glucans and

xyloglucans. The AX backbone is composed of β-(1→4) linked xylose, which is substituted

primarily with arabinose residues. The β-glucan is a linear homopolymer of glucose, but with hetero

linkages. The most common β-glucan is the mixed linked with two to three β-(1→4) linkages,

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separated by a single β-(1→3) linkage. Xyloglucans, on the other hand, are highly heterogeneous,

with a backbone of β-(1→4) linked glucose, branched with xylose. The xylose can have β-

galactose, fucose and arabinose attached (Bach Knudsen, 2014). Pectin is a main NSP group very

different in composition from the hemi-celluloses. Pectins have a main structure of α-(1→4) linked

galacturonic acid and common side chains are rhamnose, galactose, xylose and arabinose. Further,

pectins have varying degree of methyl- and acetyl esterification (Thakur et al., 1997).

Lignin is not classified as a carbohydrate, but has great influence on the digestibility of NSP, as

they form covalent bonds to the NSP polymers, which facilitates a tight and anchored cell wall

network (Selvendran, 1984).

3.2. Non-starch polysaccharides in feed ingredients

There is a large variation in the amount of NSP present in different feedstuffs, but also the type

of NSP differs among sources. A general distinction can be made between monocotyledonous and

dicotyledonous plants. Both plant groups contain a large amount of cellulose, but the

monocotyledonous cereals further contain mainly β-glucans and AX, while the protein-rich

dicotyledonous plants are rich in xyloglucans and pectins (Bach Knudsen, 1997).

Although wheat, maize, barley and oat are all monocotyledons, the distribution and solubility of

NSP between these grains also varies widely. Wheat and maize mostly contain AX, while barley

and oats contain most β-glucans (Theander et al., 1989). In general, the solubility of these two types

of polysaccharides are said to be high, but due to structural differences, the AX in wheat is more

soluble than the AX in barley and oats (Izydorczyk and Biliaderis, 1995). It has been found that the

solubility of NSP in maize is particularly low, due to a high amount of cross-linkages of AX

(Sosulski et al., 1982). The solubility of β-glucan is also dependent on the cereal, with oat β-glucan

being more soluble than the barley β-glucan (Åman and Graham, 1987).

The protein rich feedstuffs (e.g. peas, soybean and rapeseed co-products) originate from different

botanical families, which results in a large variation in the NSP composition (Bach Knudsen, 2014).

In general, the pectin originating from protein-rich feedstuffs seems to have a low solubility.

Rapeseed co-products differ by having a large amount of lignin compared to peas and soybean co-

products, hence the NSP fraction of rapeseed has a low solubility. The NSP of peas on the contrary

seem to be more soluble (Canibe et al., 1997; Bach Knudsen, 1997).

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Not only are NSP a large diverse group of polymers with the composition varying between

feedstuffs, but large variation in NSP composition between the specific plant tissues exists. As an

example, AX originating from the starchy endosperm is primarily soluble (Bacic and Stone, 1981b),

while AX of the closely related aleurone layer is primarily insoluble with a lower A/X ratio (Bacic

and Stone, 1981a) (Figure 3). Furthermore, the variety, location and production year can also affect

the NSP composition and characteristics (Bach Knudsen, 2014).

Figure 3. Location of the different carbohydrate polymers in a cross-section of a whole wheat kernel grain. DF,

dietary fibre. (Bach Knudsen, 2014)

In summary, the NSP from monocotyledons are primarily cellulose, AX and β-glucan, while

NSP from dicotyledons are primarily cellulose, xyloglucans and pectin. The specific structures,

amounts and solubility of NSP, vary largely between the individual feedstuffs.

3.3. Digestibility of carbohydrates in pigs

Sugars are digestible carbohydrates, which are absorbed as monomers in the small intestine of

pigs, as is also the case for starch hydrolysed by endogenous enzymes (i.e., amylase and brush

border enzymes). Digestibility studies have shown an almost complete disappearance of starch at

the distal ileum (Bakker et al., 1998).

Non-starch polysaccharides and LMW-NDC on the contrary, are classified as indigestible

carbohydrates, due to monogastric animals lacking the enzymes able to hydrolyse these. Pigs rely

therefore, on the activity of the microorganisms colonising the gastrointestinal (GI)-tract to ferment

NSP. A large and diverse microbial community inhabits the GI-tract, with the main NSP-degrading

activity occurring in the caecum and colon. The bacterial counts in these segments amount to

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approx. 1010 cfu/g digesta (Jensen and Jørgensen, 1994). By fermentation, the microbiota breaks

down NSP (and LMW-NDC) to constituent monomers, i.e. hexoses and pentoses. Pentoses seem to

be utilized by a pathway of hexose formation (Bergman, 1990). All hexoses undergo rapid

transformation to pyruvate through the glycolysis pathway. Pyruvate is then converted to lactic acid

or short-chain fatty acids (SCFA), primarily acetic acid, propionic acid and butyric acid, which can

be directly absorbed by the host and utilised via various pathways (Bergman, 1990). The energy

from SCFA available to the animal is approximately 60 % of that of the fermented substrate

(Cummings, 1994; Jensen, 1999), as energy during fermentation is lost to heat, gasses and

incorporation into microbial biomass (Christensen et al., 1999). The energy potential of the three

SCFA is different, with the largest amount of energy obtained from butyric acid. The ratio between

SCFA produced is expected to vary with diet composition, hereby affecting the energy obtained by

the host. A study on human digestibility has for example shown that pectin increased the production

of the low energy product, acetic acid, while decreasing butyric acid production (Cummings, 1981).

A small part of the NSP is fermented in the small intestine, where the main microbial metabolite is

lactic acid (McDonald et al., 2002). Production of lactic acid in the small intestine is considered

favourable compared to SCFA production in the hindgut, as almost no energy is lost (Rerat, 1978).

The degradability of NSP by the intestinal microbial population varies. In general, the more

soluble the NSP are, the more degradable they are. The chemical characteristics of solubility also

correlate well with the measured degradability, as e.g. reported by Bach Knudsen et al. (1993),

where the order of degradability was β-glucans > AX > celluloses. However, the degradability of

NSP in monogastrics is multifactorial. Physico-chemical properties, as solubility, lignification,

retention time and particle size play an important role in the degradability of NSP (Bakker et al.,

1998; Canibe and Bach Knudsen, 2002). It has been shown that insoluble fibre reduces retention

time, which explains the lower degradability; as the microbiota of the GI-tract has less time to

ferment the substrate. Soluble fibre on the contrary, increases viscosity hereby also increasing

retention time (Bach Knudsen, 2001). The animal species, age and breed also play a role in NSP

digestion. In general, pigs show higher digestibility of NSP compared to poultry, which is related to

a larger fermentative capacity and a longer transit time in the hindgut of the former (Choct and

Kocher, 2000). Increased viscosity in the small intestine due to high amounts of dietary soluble

NSP also seem to have a larger negative effect on the digestion of other nutrients in poultry

compared to pigs (Bach Knudsen, 2014). As sows have shown to have an increased cellulolytic

activity in the hindgut and a longer transit time than younger pigs, the age of the animal is also a

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factor to consider in NSP digestion. Further, studies have shown that the difference between sows

and growers is mostly seen for insoluble NSP, as reviewed by Lindberg (2014). A similar relation

between age and digestibility has been reported in poultry (Carre and Brillouet, 1986; Petersen et

al., 1999). The effect of genetics has been shown with native pig breeds, as Mong Cai, having

increased digestibility of fibre compared to cross-bred pigs, like the Large White x Yorkshire

(Lindberg, 2014). This could be explained by a longer transit time in the former animals, again

explained by a longer GI-tract. Finally, it should be mentioned that the level of NSP in the diet can

affect the overall digestibility, as increasing inclusion level of NSP has shown to depress ileal

digestibility of DM, NSP and metabolisable energy in poultry (Jørgensen et al., 1996).

The influence of NSP on the digestibility of other dietary components is also important. Non-

starch polysaccharides have anti-nutritional effects. Reduced retention time caused by insoluble-

NSP (Ehle et al., 1982) and increased microbial synthesis caused by soluble-NSP (Low, 1989) are

factors which negatively affect nutrient digestibility. Significant reduction in digestibility of protein

and AA has been shown by increasing the addition of NSP-rich ingredients in diets for pigs (Shi

and Noblet, 1993; Buraczewska, 2001; McDonnell et al., 2010). An explanation for this effect is

that protein originating from tissues of the plant, which is especially rich in NSP and lignin, is

encapsulated in the fibre network, and hence unavailable for digestion (McDonnell et al., 2010).

Further, the specific physico-chemical properties of NSP can be related to the reduced digestibility

of protein. Increased viscosity of a diet, as a result of high soluble-NSP content in a diet, has been

shown to increase ileal output of protein and AA (Larsen et al., 1993). High water holding capacity

has also been related to increased excretion of endogenous protein. Leterme et al. (1996, 1998)

showed that the inclusion of pea endosperm fibre, which has a very high water holding capacity,

significantly increased ileal nitrogen (N) and AA excretion.

Bakker et al. (1998) reported reduced absorption of minerals, i.e. Ca, P and K, after addition of

cellulose to a diet for pigs. Reduced AID and ATTD of fat have been reported by several studies as

a result of increasing the NSP levels of the diet, reviewed by Bakker et al. (1998). This result was

hypothesized to be related to NSP-rich diets causing increased microbial activity in the GI-tract.

Hence increased microbial synthesis of fatty acids and microbial deconjugation of bile salts would

result in less fat absorbed by the animal (Mason and Just, 1976; Furda, 1990). The deconjugating

activity of the enzyme, bile salt hydrolase, is proposed to be related to several functions, e.g. bile

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detoxification, a defence mechanism against membrane damage or a nutritional role (Begley et al.,

2006).

Feeding high-fibre diets have also shown to have a health-promoting effect. When soluble-NSP

are fermented by microbiota in the GI-tract, they stimulate microbial growth and production of

organic acids. Organic acids, and the resulting acidic environment, have shown to inhibit growth of

enterobacterial pathogens like Salmonella, E. coli and Clostridium (Hentges, 1992; May et al.,

1994). Insoluble-NSP has been suggested to positively stimulate the gut morphology by increasing

villus length (Hedemann et al., 2006).

In summary, the non-digestible NSP (and LMW-NDC) can be fermented by microorganisms in

the GI-tract of pigs. Most NSP are fermented in the hindgut where SCFA are produced, while a

small amount of NSP is fermented in the small intestine, producing lactic acid, with a greater

energy potential. The extent to which NSP are fermented depends on several factors as solubility,

lignification, retention time and animal age. Non-starch polysaccharides also have anti-nutritional

properties, affecting the digestibility of protein, AA, minerals and fat.

3.4. Analysis of non-starch polysaccharides

Historically, dietary fibre has been measured primarily using four different methods; the crude

fibre method, the detergent fibre method, the enzymatic-gravimetrical method (AOAC) and the

enzymatic-chemical method; the last mentioned used in the present studies. The crude fibre method

and the detergent fibre method are still the primary methods used today for general analysis of

dietary composition. However, the crude fibre method has the limitation of only measuring a small

and variable part of the dietary fibre fraction (Bach Knudsen, 1997). The detergent fibre method is

unable to detect water-soluble NSP and water-insoluble pectins (Reichert, 1981; Carre and

Brillouet, 1986). Studies have also reported that the neutral detergent fibre residue may be

contaminated with protein and starch (Theander and Åman, 1980). The enzymatic-chemical method

is a procedure of Uppsala and Englyst (Englyst et al., 1982), later modified by Bach Knudsen

(1997). The method can be characterised as robust and reproducible, and when compared to the

crude fibre method and the neutral detergent fibre method, it gives the highest values (Bach

Knudsen, 2014).

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The principle of the enzymatic-chemical method will be described briefly in the following; the

overall principle being hydrolysis of NSP to monomeric residues, while lignin can be measured

separately as Klason lignin. The first step of the procedure is the enzymatic removal of starch and

LMW-NDC (Figure 4).

Figure 4. Main principles of the enzymatic-chemical method for NSP determination. Based on the Uppsala and

Englyst et al. (1982) procedures, as described by Bach Knudsen (1997).

Thermostable α-amylase is added while boiling the samples. This results in gelatinisation of the

starch, thereby enabling the enzyme to randomly cleave α-(1→4) linkages. Amyloglucosidase is

then added to further hydrolyse dextrins to glucose. It has been reported that incomplete enzymatic

hydrolysis of starch can occur, which will contaminate the NSP fractions (Theander et al., 1994).

For determination of total-NSP, the polysaccharides are precipitated with ethanol, while sugars and

hydrolysed starch can be removed with the supernatant. For determination of insoluble NSP,

phosphate buffer is added, so that soluble NSP remains in solution and can be removed in the

supernatant along with sugars, LMW-NDC, and hydrolysed starch. Then, 12 M sulphuric acid is

used to swell the cellulose, and subsequent dilution to 2 M sulphuric acid hydrolyses the NSP to

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constituent monomers. The neutral constituent monomers are reduced to alcohols, derivatised, and

alditol acetates are synthesised, which can be quantified by gas chromatography (Englyst et al.,

1982). Uronic acids are determined by a colorimetric method (Scott, 1979). When evaluating the

content of NSP monomers, arabinose and xylose are considered as markers for AX content, glucose

is a marker for β-glucans and celluloses, while uronic acids mark the backbone of pectins, and

arabinose and galactose mark the side chains of pectins (Bach Knudsen, 2014).

The specific amount of glucose originating from cellulose can also be determined by calculation

when obtaining a non-cellulosic polysaccharide fraction. For that, the sample is subjected to

hydrolysis in 2 M sulphuric acid, without prior swelling in 12 M sulphuric acid. The cellulose will

not hydrolyse due to the strength this polymer possesses through its hydrogen bonding (Selvendran,

1984), and cellulose is excluded from this fraction during a filtering step. Klason lignin can be

determined gravimetrically as the residue resistant to sulphuric acid hydrolysis. A reported

limitation of the Klason lignin method is the contamination with proteins and condensed tannins not

solubilised by sulphuric acid, which can be expected to be important for especially peas and

rapeseed, as these contain significant amounts of the last mentioned (Theander et al., 1977; Carre

and Brillouet, 1986).

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4. Strategies to improve the nutritional value of NSP-rich diets for pigs

Different strategies can be exploited in the effort of improving the nutrient digestibility of NSP-

rich feed ingredients by increasing NSP digestibility. This would facilitate a greater utilization of

alternative ingredients in diets for pigs. The strategies of fermentation and of exogenous enzyme

addition and their combination will be described in the following.

4.1. Fermented liquid feed

Liquid feed (LF) is a feeding system which has been used in the pig industry for many years,

primarily in Europe (Shurson, 2008). Liquid feed offers the advantage, among others, of

contributing to a beneficial gastrointestinal microbiota and the opportunity to utilize liquid co-

products from the food and pharmaceutical industry and more recently, from the biofuel industry

(Canibe and Jensen, 2012). Although detailed information on the extent of liquid feeding of pigs is

not available, it is estimated that approx. 40 % of the grower-finishers pigs in Denmark are fed with

LF. Missotten et al. (2010) estimated from information on trade sources, that 30 %, or more, of all

European swine (piglets, grower-finisher, sows, lactating) were fed with LF. Pig producers in North

America have recently gained interest in the use of LF, primarily due to its potential for utilizing

liquid co-products from the industry. The use of LF in Ontario, Canada is estimated to 20 % (Lange

et al., 2006).

A distinction between non fermented liquid feed (n-FLF) and fermented liquid feed (FLF)

should be made. Non-fermented liquid feed is a mixture of feed and water (or another liquid

ingredient) made immediately before feeding, whereas FLF is a mixture of feed and water (or

another liquid ingredient) which has been stored for a specific time, at a specific temperature,

before feeding (Canibe and Jensen, 2012). The use of these terms is not always clear in practice,

related to the different commercial LF systems that are used. Residual-free systems, where water or

air is used to push the feed, are to a large extent able to deliver the feed to the pigs at a non-

fermented level. The more commonly used systems, where LF is left in the pipelines however,

ferment the feed to a greater or lesser extent, due to the residual feed serving as inoculum for new

feed added to the system (Plumed-Ferrer and von Wright, 2009a). Systems with closed tanks used

for controlled fermentation of the feed also exist. A clear distinction between n-FLF and FLF

should be made in scientific experimental work though, as the microbial and chemical

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characteristics of the two are very different. Consequently, both types of LF have advantages and

disadvantages regarding the effect on the health and growth performance of the animal.

4.1.1. Microbial profile of fermented liquid feed and impact on gastrointestinal health

When preparing FLF, feed and water are mixed in tanks in ratios between 1:1.5 and 1:4 and left

for a certain period of time (Missotten et al., 2010). When water is added to the ingredients, the

microorganisms naturally present will become activated. The typical profile of the main microbiota

present in FLF in a standard grower diet composed of wheat, barley and soybean meal, during time

of fermentation, is illustrated in Figure 5a.

Figure 5. Microbial composition (log cfu/g), a); and pH and microbial metabolite concentration (mmol/kg), b) in

liquid compound feed (1 feed : 2.75 water) during fermentation at 20 °C. Adapted from Canibe and Jensen (2012).

The fermentation process can be divided into two phases. During the first phase, a blooming of

Enterobacteriaceae is observed, and concurrently a markedly increase in the number of lactic acid

bacteria (LAB) can be measured. The numbers of yeasts also increase. The large numbers of LAB

cause an inhibition in the growth of Enterobacteriaceae, so that when the second phase is reached,

these bacteria are reduced from the feed to values below detectable levels. The number of LAB

reaches between 9 and 10 log cfu/g, while yeasts are typically found between 5 and 7 log cfu/g

(Plumed-Ferrer and von Wright, 2009a; Missotten et al., 2010; Canibe and Jensen, 2012). The

reason for the indirect inhibitory effect that LAB displays on the growth of Enterobacteriaceae

should be found in the metabolites. As seen in Figure 5b, the concentration of lactic acid, and to a

smaller extent acetic acid, increases, as more LAB grow in the FLF. A direct effect of this is a drop

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in pH to a desired level below 4.5 (Van Winsen et al., 2001). When reaching the second phase of

fermentation after approx. two days, FLF is characterised by high levels of LAB and lactic acid,

while pH is low and Enterobacteriaceae are close to or below detectable levels. It would however

be difficult to wait two days for each meal of feed to be ready for feeding. Hence, the length of the

first phase of fermentation is reduced by the use of backslopping. Backslopping refers to the

removal of a portion of the feed in the fermentation tank, while the remaining feed serves as

inoculum for freshly added feed and water. This procedure also simulates on-farm conditions,

where feed is removed for feeding several times each day. Jensen and Mikkelsen (1998) found that

backslopping a wheat and barley-based diet with 50 % residue resulted in an optimal fermentation

after only eight hours. The fast reduction of pH after every backslopping is illustrated in Figure 6.

Figure 6. Effect of backslopping and temperature on pH development during fermentation of a diet based on

wheat and barley. After the initial 24 hours backslopping with 50 % residue was performed with eight hour interval

(Jensen and Mikkelsen, 1998).

The inhibitory effect that fermentation induces on enterobacterial growth can be explained by the

high concentration of organic acids in the feed and the low pH. In the undissociated form, organic

acids can freely cross the cell membrane, hereby decreasing the intra-cellular pH. This stops the

enzymatic activities in the bacterial cell, inhibiting further proliferation (Russell and DiezGonzalez,

1998). As Enterobacteriaceae, like Salmonella and Escherichia coli are classified as pathogenic,

the food safety and shelf life of LF is improved by fermentation.

The beneficial impact on gastrointestinal health of feeding good quality FLF has often been

reported (Mikkelsen and Jensen, 2000; Moran, 2001; Van Winsen et al., 2001; Canibe and Jensen,

2003). This is revealed by reduced pH levels and counts of Enterobacteriaceae, and by reduced

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incidences of salmonellosis, swine dysentery and Lawsonia intracellularis in pigs fed FLF

compared to pigs fed dry feed or n-FLF (van der Wolf et al., 1999; Lindecrona et al., 2003; Boesen

et al., 2004). This is the reason why FLF has the possibility of reducing the use of antibiotics in pig

production (Missotten et al., 2010).

An incomplete fermentation of the mixture, only reaching the initial phase (as illustrated in

Figure 5), can however have a negative effect on GI health, as Enterobacteriaceae counts in this

period of fermentation are increased. Pigs fed LF only partially fermented and with high

Enterobacteriaceae counts have been reported to have higher counts of these bacteria along the GI-

tract too, compared to those fed good quality FLF with low levels of Enterobacteriaceae (Canibe

and Jensen, 2003). Van der Wolf et al. (1999) also found increased numbers of Salmonella infected

pigs by feeding LF soaked in the trough for a few hours compared to pigs fed acidified or fermented

diets.

Besides the length of fermentation, temperature has also a large impact on the microbial

properties of FLF. Jensen and Mikkelsen (1998) found that increasing the temperature from 15 to

25 °C during fermentation resulted in a shortening of the initial phase and a lower final pH (Figure

6). Beal et al. (2002) fermented compound feed at 20 and 30 °C, and found a reduced survival of

Salmonella typhimurium in the feed fermented at 30 °C. Heating the feed during fermentation

represents an additional expense to the farmer and is therefore often omitted. As the room

temperature is highly dependent on location and season, temperature is a factor which can be

difficult to regulate in practice.

Yeasts are typically increased during fermentation, but the influence of yeasts on the quality of

FLF is ambiguous. Yeasts are known to have the potential of binding Enterobacteriaceae hereby

reducing the pathogenic effect of these organisms (Mul and Perry, 1994). On the other hand, yeasts

produce off-flavors and ethanol, which have been suspected to reduce feed intake (Missotten et al.,

2010). The CO2 production occurring during ethanol fermentation is related to a loss in DM (Jensen

and Mikkelsen, 1998), and can furthermore cause technical problems in the pipeline systems of LF

(Plumed-Ferrer and von Wright, 2009a).

In summary, LF is a widely used feeding strategy for pigs, and fermentation of LF often occurs

in the systems used in practice. A typical fermentation of a standard grower diet can be

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characterised by an initial blooming of Enterobacteriaceae; the growth of these are later inhibited

by a large increase in the LAB population along with a high concentration of lactic acid and

reduced pH. These factors have shown to increase biosafety of the feed and GI-health of the

animals.

4.1.2. Nutritional advantages of feeding fermented liquid feed

By steeping feed materials in water for a period of time, naturally occurring enzymes, along with

enzymes produced by the microorganisms, can be activated (Rezaei et al., 2007). The enzymes can

hereby disrupt the different nutrients, making some of them easier digestible to the animal. Of

special interest to the current studies is the effect which has been found on NSP. An in vitro study

by Christensen et al. (2007) showed that fermenting a diet based on wheat, barley and SBM resulted

in a significant reduction in the concentration of total NSP. This indicated that enzymes, naturally

occurring or from microorganisms in the plant materials, had broken down NSP to smaller

carbohydrate units, which most likely would be easier to digest. Several in vivo studies have

documented a similar decrease in the amount of NSP during the fermentation process of either the

whole diet based on wheat and barley, or on the fermented cereals alone (Lyberg et al., 2006;

Jørgensen et al., 2010b; Sholly et al., 2011; l'Anson et al., 2013). Jørgensen et al. (2010) found an

improved AID of OM, DM and energy in pigs fed fermented barley or fermented wheat compared

to the same non-fermented cereals, with the largest effect seen on barley. Lyberg et al. (2006) found

improved AID of OM, Ca, N and AA in pigs fed a fermented diet based on wheat and barley

compared to feeding the same diet dry or soaked for 1 h. Both authors suggested a direct

relationship between the observed improvements in digestibility and the microbial activity affecting

degradation of cell wall polysaccharides, which seems plausible when considering the anti-

nutritional effects of NSP, which have been described above. However, a direct improvement in the

digestibility of NSP in pigs by fermentation of liquid feed has so far not been documented. Sholly et

al. (2011) measured a reduction in the dietary NSP by fermentation, but did not detect any effect of

fermentation on AID or ATTD of NSP. L´Anson et al. (2013) in fact found a significant decrease in

AID of NSP of a diet based on wheat and SBM in spite of a measured effect on dietary total-NSP

by fermentation of the diet. Hong and Lindberg (2007) however measured an increased AID of

crude fibre and neutral detergent fibre by feeding pigs a fermented diet (based on rice bran, maize

meal, and cassava root meal) compared to a dry diet.

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Another effect that fermentation has on the carbohydrate fraction of the diet is an almost

complete disappearance of sugars and LMW-NDC (Canibe and Jensen, 2003). As the resulting

metabolites are primarily lactic acid, only a small amount of energy is lost (Rerat, 1978). The

LMW-NDC, which includes raffinose, stachyose and verbascose, can in large amounts cause

diarrhea, as described for legumes (Jezierny et al., 2010). Therefore, the degradation of these can be

considered beneficial.

Soaking or fermenting diets reduces the concentration of phytate-P (Larsen et al., 1999; Carlson

and Poulsen, 2003; Lyberg et al., 2006; Blaabjerg et al., 2007). Phytate is a cyclic acid which serves

as a storage molecule for P in plants. Phytate-P is only partially utilised by pigs as they are unable

to generate sufficient endogenous phytase activity (Selle and Ravindran, 2008). The effect of

fermentation can be explained by activation of endogenous phytase in the plant materials after

addition of water. The phytase activity measured in the different plants however varies, with

relative high activity in wheat and barley, while maize and protein-rich feed ingredients show little

or no activity (Steiner et al., 2007). Hence experimental data also indicate the importance of

phytase-rich ingredients being included in the diet during fermentation. This was e.g. shown by

Blaabjerg et al. (2007), who found a 60 % reduction in phytate-P after 8 h soaking of a wheat and

SBM based diet, while only a limited effect was observed when soaking wheat and SBM,

separately.

The impact of soaking/fermenting diets on in vivo digestibility of P in the same way seems to

vary. For example Lyberg et al. (2006) and Blaabjerg et al. (2010) found improved AID of P in pigs

fed FLF based on wheat and barley. On the contrary Nitrayova (2009) and Pedersen and Stein

(2010) did not detect an effect of fermenting a diet based on maize and soybean meal on P

digestibility in growing pigs. The explanation for this inconsistence can again be found in the

difference in intrinsic phytase activity between feedstuffs.

Other nutritional improvements obtained by fermentation have been reported. The low pH of

FLF results in a decrease in gastric pH, which has shown to increase the protein hydrolysis in this

compartment (Jongbloed and Kemme, 1990). A few studies have reported a reduction in anti-

nutritional factors as isothiocyanates (Chiang et al., 2010), α-galactosides, trypsin inhibitors,

saponins and tannins (Shimelis and Rakshit, 2008). A study by Li et al. (2011) also showed the

possibility of adding specific microorganisms during fermentation, which exhibit detoxifying

effects on mycotoxin infected maize.

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In summary, fermentation has positive effects on the nutritional value of diets, through activation

of endogenous enzymes present in the feedstuffs. It has been reported that NSP are reduced during

fermentation, while an improved digestibility of NSP, as a consequence, has so far not been

reported. Fermentation has however been reported to improve digestibility of several other

nutrients, e.g. protein, AA, DM, P and Ca.

4.1.3. Nutritional disadvantages of feeding fermented liquid feed

Piglets fed FLF show lower feed intake and weight gain than those fed n-FLF and dry feed

(Moran, 2001; Pedersen, 2001). Further, piglets fed n-FLF showed better growth performance than

those fed dry feed (Scholten et al., 1999). The positive effects obtained on piglets are related to the

liquid matrix which eases the transition from milk to solid feed, by reducing dehydration and

increasing feed intake (Russell et al., 1996; Scholten et al., 1999). It has also been found that

feeding with n-FLF increases villus length and crypt depth compared to dry feed in this

developmental stage of the pig (Deprez et al., 1987; da Silva et al., 2001). Results on grower-

finisher pigs resemble those reported on piglets. Growth performance studies on grower-finisher

pigs were reviewed by Jensen and Mikkelsen (1998), who found an improved feed utilization of

slaughter pigs fed n-FLF compared to dry feed, although the improvement on the growth rate was

minimal. The same conclusion was drawn by Missotten et al. (2010) reviewing more recent growth

performance studies. However, it has been found that feeding FLF to grower pigs reduces growth

rate, probably as a result of lower feed intake, compared to n-FLF (Canibe and Jensen, 2003). The

gain to feed ratio, was not different between treatments, though.

The negative effects on growth performance of feeding FLF have been hypothesized to be due to

low feed intake, as a result of impaired palatability, and due to fewer AA available in the diet,

explained by decarboxylation of AA during fermentation (Canibe and Jensen, 2012). The impaired

palatability of FLF has been put in relation to high concentrations of acetic acid, ethanol and also

biogenic amines in FLF (Plumed-Ferrer and von Wright, 2009b; Canibe and Jensen, 2012). High

levels of biogenic amines can have toxic effects on the animals and have been suggested to

negatively affect palatability of the feed (Brooks et al., 2001). The levels at which the different

biogenic amines affect palatability have not been established, though. Acetic acid values not

exceeding 30 mmol/L, have previously been recommended to avoid reduced palatability, reviewed

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by Missotten et al. (2010). Recent reports of acetic acid concentrations affecting palatability/feed

intake, however find the level to be relatively high (Canibe et al., 2010; Rudbäck, 2013).

Decarboxylation of mainly free lysine, which leads to a concomitant increase of cadaverine in

the FLF (Pedersen, 2001; Niven et al., 2006; Canibe et al., 2007b), is also believed to negatively

affect growth performance. Formation of other biogenic amines also occurs, including histamine

(decarboxylation of histidine), putrescine (decarboxylation of methionine), tyramine

(decarboxylation of tyrosine), and tryptamine (decarboxylation of tryptophan) (Pedersen et al.,

2002). The mechanism behind AA decarboxylation is complex and not fully understood. It has been

identified as a defence mechanism against an acidic environment (Bearson et al., 1997) related to

coliform bacteria in FLF (Niven et al., 2006). Bacteria in an acidic environment reduce intracellular

pH by transporting an AA into the cell; the AA is decarboxylated in the cytoplasm and a proton is

consumed during this process. The resulting biogenic amine is exported out of the cell via an

antiporter (Bearson et al., 1997). Specific LAB strains, which have so far not been reported in FLF,

also display decarboxylase activity (Dapkevicius et al., 2000). Some yeast species have furthermore

been related to formation of biogenic amines, especially in alcoholic fermentation processes (Torrea

Goni and Ancin Azpilicueta, 2001).

Strategies to avoid AA decarboxylation and reduce the concentration of the mentioned undesired

metabolites affecting the nutritional quality of FLF have been proposed (Canibe and Jensen, 2012).

These are based on reducing the number of coliforms in the FLF, since these bacteria are currently

believed to be the organisms primarily responsible for the decarboxylation of lysine and

concomitant production of cadaverine.

- Addition of a starter culture that accelerates the first phase of fermentation and reduces the time

available for coliforms to proliferate.

- Addition of organic acids to reduce the growth of coliforms.

- Fermenting only the cereals instead of the complete feed.

The last mentioned would avoid degradation of the dietary free AA (Beal et al., 2005; Canibe et al.,

2007a). Further, cereals have a lower buffering capacity compared to compound feed, resulting in a

faster decrease in pH with a consequent higher biosafety of the product. This strategy however

limits some potential nutritional advantages obtained by fermenting other dietary ingredients.

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Table 3. Pros and cons of fermented liquid feed (FLF).

PROS OF FLF Mechanisms

a) Improves biosafety of the feed a + b) High concentration of lactic acid and reduced

pH inhibit growth of Enterobacteriaceae

b) Improves GI-health

c) Improves digestibility of various nutrients

c + d) Naturally occurring enzymes and micro-

organisms in feed become activated.

d) Reduces non-digestible carbohydrates

N digestibility increased by low pH.

e) Reduces anti-nutritional factors and toxins e) Exact mechanism unknown

CONS OF FLF Mechanisms

a) Reduces feed intake a) Impaired palatability due to increased levels of

acetic acid, biogenic amines and ethanol

b) Reduces growth performance b) Reduced feed intake

Decarboxylation of AA (defence mechanism by

Enterobacteriaceae in acidic environments)

PROPOSED ALTERNATIVES Mechanisms

a) Addition of starter cultures or organic acids

(positive effect not scientifically proved)

a) Accelerate first phase of fermentation and

hereby reduce negative effect of

Enterobacteriaceae on AA

b) Fermenting only the cereals

(limits nutritional improvements on N source)

b) Free AA from N sources are not exposed to

decarboxylation during fermentation

In summary, FLF can result in reduced feed intake and weight gain in piglets and grower-

finisher pigs. This is most likely a combined result of reduced palatability and fewer free AA

available in the feed as a result of decarboxylation of these by Enterobacteriaceae during

fermentation.

4.2. Enzyme addition

Another strategy to improve nutrient digestibility in NSP-rich diets for pigs is the addition of

enzymes. Enzyme addition to non-ruminants has become a common practice, especially since the

early 1990s, where the potential of phytases was unravelled by Simons et al. (1990). Currently,

approx. 60 % of the enzymes added to monogastric diets are phytases, 30 % are carbohydrases,

while the remaining 10 % account for proteases, lipases, lysozymes and others (Adeola and

Cowieson, 2011).

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Essential improvements in the ileal digestibility of P can be obtained by addition of phytase, as

reviewed by Selle and Ravindran (2008), and due to the unambiguous results, phytase has been

implemented in practice on a worldwide scale. Phytases act by step-wise dephosphorylation of

phytate, hereby enhancing P absorption in the GI-tract (Selle and Ravindran, 2008). Phytases have

also been found to have so-called “extra-phosphoric” effects which have been found after addition

of phytase to diets adequate in P. Studies have reported increased growth performance (Beers and

Jongbloed, 1992), increased ileal digestibility of AA (Kiarie et al., 2010) and of protein (Ketaren et

al., 1993) as a consequence of addition of phytases to diets adequate in P. As it has been noted

above, especially the diminished digestibility of protein and AA is a concern related to increased

amounts of NSP in diets for pigs. The mode of action behind the effect of phytase on protein and

AA digestibility is suggested to be related to protein-phytate complex formation and a negative

effect of phytate on AA flow and intestinal uptake (Selle and Ravindran, 2008). The mechanisms

are however not fully understood, and studies showing no effect have also been reported (Peter and

Baker, 2001; Adeola and Sands, 2003).

Most carbohydrases target specifically NSP, and about 80 % of all carbohydrases used in

monogastric feed are xylanases and glucanases (Adeola and Cowieson, 2011). Xylanases randomly

break β-(1→4) xylan bonds, making up the backbone of xylan and AX, while glucanases are more

diverse, able to break different types of glucosidic bonds present in β-glucan, cellulose and

xyloglucan (e.g. β-(1→3), β-(1→4), and β-(1→6)). Commercial enzymes are however often

multicomponent, showing more than one specific activity; but all activities are usually not declared

in the product. Cellulases are also gaining currency. Cellulases do not represent one specific

activity, but possess a series of glycosidase activities, which are able to depolymerise cellulose to

glucose.

Adeola and Cowieson (2011) concluded in their review that the effect of NSP-degrading

enzymes on growth performance and nutrient utilization is less consistent than the results obtained

with phytases, but these enzymes “show promise” for the future. The less consistent results of NSP-

degrading enzymes may be ascribed to the large diversity of the chemical structures of NSP among

plants, but also among specific tissues within a plant (Bach Knudsen, 2014). In practice, this means

that specific enzymes may affect some parts of a plant, but not others, and they may disrupt NSP in

some ingredient in a diet, but not in others. It is therefore difficult to compare different studies with

variation in diet composition and type of specific enzymes added.

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Non-starch polyssacharide-degrading enzymes have also been reported to increase the

digestibility of other parameters in a diet. Increased digestibility of OM, energy, CP and AA has

been reported (Li et al., 1994; Souffrant, 2001; Nortey et al., 2007a). The reason for this can be

found in the enzymes disrupting the cell wall structures, hereby releasing encapsulated nutrients

(Nortey et al., 2007b). Non-starch polysacchardie-degrading enzymes are also able to change some

physico-chemical properties of the diet, as viscosity and water holding capacity (Bedford and

Classen, 1992; Connell et al., 2005) (recall that these properties in section 3.3 were described as

being important for the digestibility of protein and AA). A direct correlation between digesta

viscosity and animal performance (most pronounced in poultry) has furthermore been found

(Adeola and Cowieson, 2011).

The number of specific studies on addition of enzymes to diets based on wDDGS is not high

(Table 4). A review on the parent grain (wheat) concluded that xylanase shows the most consistent

results in improvement of nutrient digestibility on wheat based diets, due to the high content of AX;

while β-glucanase and phytase are less efficient (Rosenfelder et al., 2013). However, two studies on

addition of xylanase to diets containing wDDGS showed no or little improvements in digestibility

(Widyaratne et al., 2009; Thacker, 2009). The study be Emiola et al. (2009) showed that addition of

an enzyme cocktail to a diet containing 30 % wDDGS and 65 % barley improved ATTD of DM, N

and energy in grower pigs. Nortey et al. (2007) examined the effect of xylanase addition to different

diets containing 30 % wheat by-products (millrun, middlings, shorts, screenings and bran), which

similar to wDDGS, contain elevated levels of NSP and CP. The study showed an improved ileal

digestibility of energy by enzyme addition of all by-products when fed to growing pigs. In general,

studies on enzyme addition to wheat by-products show the importance of substrate specificity of the

specific enzyme and the correct dosage of enzyme.

Some studies indicate that carbohydrases also may have a positive effect on other ingredients,

like RSC and peas, although the enzymes are not usually targeted at these substrates. Fang et al.

(2007) investigated in vitro and in vivo the effect of increasing xylanase addition to a maize-based

diet with 10 % Chinese double-low RSM compared to a control diet without rapeseed. In vitro

digestibility results showed increased NDF digestibility in all diets added xylanase, and improved

DM and CP digestibility in the two diets with highest xylanase addition. The subsequent

performance experiment on grower pigs showed increased ADG and a tendency towards increased

growth rate in the diet with 0.7 g/kg xylanase compared to the control. Brooks et al. (2009)

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investigated the effect of a multi-carbohydrase mixture on a maize based diet with 20 % field peas

and on a control diet without peas. Enzyme addition showed an effect of peas, as a tendency

towards an improved ADG in nursery pigs fed the pea diet with enzyme addition was reported,

compared to the control diet also with enzyme addition.

Tabel 4. Effect of enzyme addition to diets containing wheat DDGS on digestibility in pigs.

Ingredient Enzyme Pig stage Parameter Effect1

Reference

30 % wheat 30 % wDDGS 21 % RSM

Xylanase Protease

Grower-finisher

AID GE Growth performance

↑ NS

(O'Shea et al., 2014)

65 % barley 30 % wDDGS

Xylanase β-glucanase Cellulase

Grower ATTD DM, N, E ↑ (Emiola et al., 2009)

70 % wheat 20 % wDGS (not dried)

Xylanase β-glucanase Protease

Grower ATTD DM, CP, E NS (Thacker, 2009)

Wheat 40 % wDDGS

Xylanase Grower-finisher

AID E, Thr, Lys ATTD E, P

NS NS

(Widyaratne et al., 2009)

53 % wheat 30 % wheat by-products

Xylanase

Grower AID E (all diets) ATTD E (millrun diet)

↑ ↑

(Nortey et al., 2007a)

1NS, non-significant.

In summary, enzyme addition is a widely used strategy to increase nutritional value of diets for

monogastric animals. Phytases are the mostly used enzyme, and show increased digestibility of P

along with positive side-effects on protein and AA digestibility. Xylanases, β-glucanases and

cellulases are the most used carbohydrases, but their effect varies due to the large variation in NSP

among feed ingredients. Considering the ingredients investigated in the current thesis, xylanases

show most promise on wDDGS, while a few studies have also reported a positive effect of

carbohydrases on digestibility of diets containing RSC and peas.

4.3. Enzyme addition during fermentation

The biological activity of enzymes is not fully obtained before they are in an aqueous matrix,

where stability of the enzyme and accessibility to the substrate is facilitated (Rezaei et al., 2007).

For endogenous enzymes, this demand is e.g. fulfilled in the intracellular matrix of the individual

cell, or in the gastrointestinal tract of animals. In this context, it seems like an obvious possibility to

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combine the two strategies described above, and utilize enzyme addition to feed for pigs during

fermentation of liquid feed. Theoretically, this combination would offer further improvements in

nutrient digestibility and performance compared to the mentioned strategies separately, as the

exogenous enzymes will be allowed time to exert their action on the substrate prior to feeding,

which would add to the time available in the GI-tract of the pigs. In spite of this possible

opportunity to further increase the efficiency of exogenous enzymes to pigs, only a few studies in

this field of research have been reported.

Phytase addition during soaking has been investigated by Carlson and Poulsen (2003), who

showed how addition of phytase to compound feed increased the degradation of phytate with time

of fermentation. Other studies have found that the effect of phytase addition depends on the dietary

ingredient, as little effect was observed for fermented wheat while SBM showed a large increase in

degradation of phytate by phytase addition during fermentation (Brooks et al., 2001; Blaabjerg et

al., 2007). This can be explained by the low content of endogenous phytase in SBM compared to

wheat, giving a more pronounced effect on the former substrate. Blaabjerg et al. (2010) confirmed

in vivo the positive results of combining phytase addition with fermentation. This study showed a

marked improvement of P digestibility (both ileal and total) when fermenting a wheat and barley

based diet for eight hours with phytase compared to phytase addition to the same dry feed. In fact,

the level of phytate was undetectable in ileal digesta from pigs fed the fermented diet, whereas 1.2 g

InsP6–P/g Cr2O3 were measured between 0 to 8 hours after feeding in pigs fed the dry feed.

Addition of carbohydrases during fermentation of feed has been investigated by Christensen et

al. (2007), who performed an in vitro digestion study on a diet based on wheat, barley and SBM,

which was fermented for 8 hours or for 24 hours with a starter culture, both treatments with and

without addition of xylanase and β-glucanase. A decrease in the concentration of total-NSP was

measured with both fermentation treatments compared to the dry control, and a further decrease was

measured with concurrent enzyme addition. In vivo results with carbohydrase addition to FLF for

piglets are however ambiguous. L´Anson et al. (2013) found that one hour steeping of a wheat-

based diet improved feed intake in piglets, also affecting daily gain and feed conversion ratio.

However, 24 hours fermentation did not show further improvements, as neither did addition of

xylanase to the two treatments. This was most likely correlated with the lack of reduction of dietary

total-NSP by enzyme addition. In a study on a wheat by-product (millrun)-based diet, a significant

reduction in total-NSP was observed due to 15 h fermentation, further reduction was however not

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observed by addition of different xylanases during the fermentation (l'Anson et al., 2014). This

probably explained the observed lack of effect of enzyme supplementation on digestibility and

performance of piglets. The results of Choct et al. (2004) were more encouraging, showing

improved feed intake and growth rate of weaner pigs fed a wheat-based diet fermented for 15 hours

with addition of xylanase compared to the same diet without enzyme.

To our knowledge, no studies on the impact of feed fermentation and carbohydrase addition on

growing pigs have been published; and based on the variable results of the few studies on piglets, it

can be concluded that further research in the area of carbohydrase addition during liquid

fermentation is needed.

In summary, the combined use of enzyme addition during fermentation could potentially further

improve the digestibility of diets for pigs, although it has only been scarcely investigated so far.

Addition of phytases during fermentation of liquid feed shows further increase in P digestibility,

while the results of adding carbohydrases during fermentation are less consistent.

4.4. Other strategies to improve nutritional value of feed

Other possible strategies for improving the nutritional value of fibre-rich diets, which are

currently used, should be mentioned. These primarily involve different feed processing methods.

- Reduction of particle size is a strategy which has shown to improve feed efficiency and

digestion of various nutrients (Woyengo et al., 2014). The underlying mechanism is related to an

increased surface area available to enzymes that facilitates digestion by endogenous or microbial

enzymes colonising the GI-tract (Liu et al., 2013). Studies on pigs have shown increased

digestibility of gross energy (GE) and Lys of wDDGS diets (Yanez et al., 2011) and of diets based

on barley and peas (Oryschak et al., 2002) when reducing feed particle size. However, the use of

finely ground feed is known to increase the risk of gastric ulcers (Wu et al., 1989; Wondra et al.,

1995; Ayles et al., 1996; Morel and Cottam, 2007).

- Dehulling prior to feeding is an efficient strategy to decrease NSP content, as the majority of

the NSP is situated in the hull of plants (Bach Knudsen, 2014). However, if the objective is to

increase the inclusion of high-fibre co-products, this is not a valid strategy.

- Thermal treatment, which can decrease the level of anti-nutritional compounds present in the

ingredient, such as trypsin inhibitors, has shown increased SID of CP and AA e.g. in peas (Owusu-

Asiedu et al., 2002). A reduction in glucosinolate content in rapeseed has also been reported as a

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result of heating (Newkirk et al., 2003). However, the temperature used during the process is

crucial, as a risk of diminishing protein and AA digestibility exist by heating at too high

temperatures (Widyaratne and Zijlstra, 2007).

- Pelleting is a processing technology resulting in advantages such as easy handling and

improved feed efficiency (Quemere et al., 1988; Wondra et al., 1995), along with improved

digestibility of AA and CP (Ginste and De Schrijver, 1998; Lahaye et al., 2008). Some of the

nutritional advantages are also linked to heating of the diet, which is part of the pelleting procedure.

The specific effect of pelleting on the fibre fraction was investigated by Bedford et al. (1991) who

found an increased effect of the added pentosanase to a rye-based diet in poultry upon pelleting of

the diet. Graham et al. (1989) on the contrary showed no effect of pelleting a barley-based diet for

pigs when β-glucanase was added.

- Addition of acids to high-fibre diets, primarily organic acids have shown to improve protein

and energy digestibility (Roth and Kirchgessner, 1998) and to improve growth performance in

piglets and grower-finisher pigs (Partanen and Mroz, 1999; Partanen et al., 2002). This effect seems

to be related to the anti-microbial effect of the acids, which lower pH, and hereby inhibit growth of

pathogens in the GI-tract (Canibe et al., 2005). The pH reduction can also favour protein hydrolysis

in the stomach and thereby increase protein digestibility (Jongbloed and Kemme, 1990).

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5. Hypotheses and aims

The aim of the current studies was to investigate the effect of fermentation and concurrent

enzyme addition as strategies to improve digestibility of diets for pigs containing high amounts of

locally grown crops and co-products from the biofuel industry. When deciding on the enzymes to be

tested and digestibility parameters to measure, main focus was given to NSP, as this was considered

the main nutritional obstacle for increasing the dietary inclusion of the investigated feedstuffs.

Manuscript 1

Hypothesis: Fermentation and concurrent addition of carbohydrases and phytases to RSC and

DDGS is a strategy able to reduce or solubilise the NSP fraction in these pig dietary ingredients.

This may possibly lead to an increased solubility of protein, as proteins from especially the hull

fraction will be bound in the cell wall network.

Aim: To identify one or more enzyme mixtures able to disrupt the NSP fraction in RSC and

DDGS and, as a consequence, to solubilise the protein in the two ingredients.

Manuscript 2

Hypothesis: Fermentation of- and concurrent addition of an enzyme mixture with xylanase, β-

glucanase and pectinase activity to a diet based on RSC, HMM and peas will lead to an increased

digestibility of NSP, CP and P.

Aim: To perform a digestibility study on grower pigs, investigating the digestibility of NSP, CP,

P and DM, as affected by fermentation and concurrent addition of an enzyme mixture displaying

xylanase, β-glucanase and pectinase activity. It was also an aim to compare the nutritional value of

the experimental diet to a standard grower diet fed as LF.

Manuscript 3

Hypothesis: It is possible to increase the nutritional value of DDGS by fermentation and

concurrent addition of two different enzyme mixtures (xylanase+glucanase or cellulase+xylanase)

prior to feeding.

Aim: To perform a digestibility study on grower pigs, investigating the digestibility of NSP, CP,

P and DM, as affected by fermentation and concurrent addition of two different enzyme mixtures

displaying xylanase+β-glucanase and cellulase+xylanase activity, respectively.

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6. Manuscript I

Improving the nutritional value of rapeseed cake and wheat dried distillers

grains with solubles by addition of enzymes during liquid fermentation

Grethe Venås Jakobsen, Bent Borg Jensen, Knud Erik Bach Knudsen and Nuria Canibe

Submitted to Animal Feed Science and Technology

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Improving the nutritional value of rapeseed cake and wheat dried distillers grains with

solubles by addition of enzymes during liquid fermentation

Grethe Venås Jakobsen a, Bent Borg Jensen a, Knud Erik Bach Knudsen a and Nuria Canibe #a

a University of Aarhus, Faculty of Science and Technology, Department of Animal Science,

Blichers Allé 20, P.O. Box 50, DK-8830 Tjele, Denmark.

# Corresponding author.

University of Aarhus,

Faculty of Science and Technology, Dept. of Animal Science,

Blichers Allé 20, P.O. BOX 50,

DK-8830 Tjele, Denmark

Tel. : +45 87 15 80 58

Fax: +45 87 15 42 49

E-mail address: [email protected].

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ABSTRACT

An increased production of biofuel during the last decade with a subsequent increased amount of

co-products has led to an interest in utilizing these co-products as cheap alternatives to traditional

ingredients for pig feed. An in vitro study was conducted to screen several enzyme mixtures,

primarily carbohydrases, for their ability to solubilize non-starch polysaccharides (NSP) and protein

in rapeseed cake (RSC) and wheat dried distillers grains with solubles (wDDGS) during

fermentation. During the first 48 hours of the experiment, denoted the initial phase, the mixture

was fermented and samples were collected at 0, 24 and 48 h. Then, backslopping was performed

every 24 hours, where 50 % of the mixture was replaced with fresh feed, water and enzyme, until a

steady state cycle was reached. Samples were collected at 0, 6, 12 and 24 h after the last

backslopping. Results showed a decrease during the initial phase of fermentation in the amount of

total-NSP (31%, P<0.001) and insoluble-NSP (42%, P<0.001) in fermented RSC treated with the

enzyme mixture β-glucanase + Xylanase + Pectinase (GluXylPec). Carbohydrates released from the

GluXylPec sample were fermented by the microorganisms present in the mixture, resulting in

elevated amounts of lactic acid during the steady state phase (P≤0.05) and acetic acid (from 24h of

incubation to the end of the study, P<0.01) compared to the Control; hence pH levels were also

decreased (from 24 to the end of the study, P≤0.01) in the GluXylPec treatment. Protein solubility

increased in samples fermented with GluXylPec (14% more soluble crude protein at 48 h compared

to 0 h, P<0.05). Samples fermented with Phytase (Phy) showed a higher protein solubility, too (18%

higher level at 48 h than at 0 h, P<0.01); and addition of phytase clearly reduced the level of

phytate-P in RSC. Although all the enzymatic treatments showed a small reduction of total-NSP in

wDDGS, and three enzymes reduced the level of soluble-NSP, no increase in protein solubility or

organic acid concentration was detected as a result of enzyme addition. For both fermented

products, the biggest effect of enzyme addition was observed in the initial phase of fermentation. In

conclusion, addition of specific carbohydrases during liquid fermentation can be a strategy to

disrupt NSP and increase protein solubility in RSC. The impact of enzymes on wDGGS was less

clear. Addition of phytase results in an almost complete reduction of phytate-P in RSC during

fermentation.

Keywords

Fermented liquid feed; Rapeseed Cake; Dried distillers grains with solubles; Enzymes; Non-starch

polysaccharides; Pigs

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1. Introduction

The production of biofuel has increased worldwide over the last decade (IEA, 2014). The latest

OECD-FAO outlook expects a further global growth of biodiesel and bioethanol production of 42

and 47% respectively from 2014 to 2023 (OECD-FAO, 2013). Fluctuating prices of traditional

cereal feed ingredients have increased the interest for the use of co-products from the biofuel

industry in animal feed.

Two co-products of great interest as ingredients in pig feed are rapeseed cake (RSC), from

biodiesel production, and wheat dried distillers grains with solubles (wDDGS), from bioethanol

production. Both products are valuable sources of protein for pigs. Rapeseed cake contains between

300 and 397 g CP/kg DM (Gdala et al., 1997; Pastuszewska et al., 2003; Brask et al., 2013) and has

an amino acid profile characterized by high levels of indispensable amino acids, especially the two

sulphur-containing amino acids and lysine (Mansour et al., 1993; Woyengo et al., 2010). One of

the limiting factors for the inclusion of RSC in pig diets is the high level of fibre and lignin mainly

originating from the high hull content in rapeseed co-products (Grala et al., 1998), what besides

reducing its energy value, can also impair protein digestibility, as a fraction of the proteins,

particularly that from the hull fraction, will be bound in the polysaccharide network (McDonnell et

al., 2010). Rapeseed cake and -meal contain non-starch polysaccharides (NSP) in the range of 187

to 219 g/kg DM (Slominski and Campbell, 1990; Gdala et al., 1997) and Klason lignin in the range

of 72 and 90 g/kg DM (Bach Knudsen, 1997). Cell wall polymers abundant in RSC and rapeseed

meal (RSM) are xyloglucans, xylans and pectins, along with arabinose containing-polymers, e.g.

arabinoxylans (Ghosh et al., 2004; Egües et al., 2010; Pustjens et al., 2013).

Wheat DGGS contain 361 to 463 g CP/kg DM (Widyaratne and Zijlstra, 2008; Avelar et al.,

2010; Cozannet et al., 2010). The amino acid profile is similar to wheat, but can contain reduced

amounts of lysine and arginine (Cozannet et al., 2010), which is likely a result of Maillard reactions

during the drying process (Pedersen et al., 2007; Cozannet et al., 2010). However, large variation in

the lysine content between production sites has been reported (Olukosi and Adebiyi, 2013). The

concentration of NSP in wheat DGGS is 167 to 229 g/kg DM (Widyaratne and Zijlstra, 2007;

Rosenfelder et al., 2013); and results from our laboratory showed a lignin concentration of 50 g/kg

DM. Main cell wall polysaccharides (characterized in wheat) are arabinoxylans, celluloses and β-

glucans (Bach Knudsen, 1997; Souffrant, 2001).

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A disruption of cell wall polysaccharides in RSC and DGGS has the potential of increasing the

energy value and protein digestibility of these products (Nortey et al., 2007). The addition of

exogenous enzymes to feed for pigs for the purpose of increasing its nutritional value is a widely

used strategy and the addition of enzymes to biofuel co-products is a growing research area (Zijlstra

et al., 2010; Kiarie et al., 2012; Mc Alpine et al., 2012; Rosenfelder et al., 2013). The impact of this

treatment has shown varying results, probably due to different substrates, enzymes, enzyme dosage,

stage of the animals used, etc. Rosenfelder et al. (2013) concluded that xylanase is the supplemental

enzyme showing the highest nutrient- and energy digestibility improvement in wheat and wheat-

based co-products in pigs. Addition of pectinolytic enzymes to RSM has shown significant

increased digestion of carbohydrates in vitro (Pustjens et al., 2012) while xylanase addition to RSM

has resulted in improved nutrient digestibility and growth performance in pigs (Fang et al., 2007).

Fermented liquid feed (FLF) has been used in the pig industry for many years, and is known for its

beneficial impact on the gastrointestinal health of the animals (Canibe and Jensen, 2012). A

reduction in the amount of NSP during fermentation of compound pig feed or cereal grains has been

reported (Christensen et al., 2007; Jørgensen et al., 2010). Further, an additional decrease in NSP

after supplementation with xylanase and β-glucanase to fermented feed based on wheat, barley and

soybean meal has been shown (Christensen et al., 2007). Beneficial effects of liquid fermentation of

feed on digestibility of nutrients in pigs have been reported, e.g. on phosphorus, CP, amino acids,

calcium and carbohydrates (Larsen et al., 1999; Lyberg et al., 2006; Blaabjerg et al., 2007;

Jørgensen et al., 2010; Sholly et al., 2011).

The objective of the current in vitro study was to screen several enzyme mixtures, primarily

carbohydrases, for their ability to disrupt NSP and protein from RSC and wDDGS during liquid

fermentation. This was the initial step to test the hypothesis that breakdown of the cell walls (NSP)

by exogenous enzymes improves accessibility to NSP and protein in the matrix, thereby resulting in

a higher availability of these nutrients for the animal.

2. Materials and methods

2.1 Feed and enzymes

Two in vitro experiments were conducted to screen different experimental and commercial

enzyme mixtures (supplied by Novozymes A/S, Bagsvaerd, Denmark and DuPont Industrial

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Biosciences-Danisco UK Ltd., Marlborough, Wiltshire, UK) for their ability to improve the

nutritional value of the two feed ingredients RCS and wDDGS. In Exp. 1, nine different enzymes or

enzyme mixtures (Table 1) were tested on RSC. The RSC was supplied by Scanola A/S, Aarhus,

Denmark. In Exp. 2, six enzymes or enzyme mixtures (Table 2) were tested on wDDGS; four of the

enzymes were the same in the two experiments. The wDDGS was supplied by Lantmännen

Agroetanol AB, and was produced from a mixture of 80% wheat and 20% barley. The enzyme

doses applied were established in accordance to the recommendations of the manufacturers.

2.2 Experimental procedure

Rapeseed cake or wDDGS and water were mixed (1:5.5 w/w) in 1L bioreactors to a final volume

of 600 mL and one of the enzymes or enzyme combinations were added. A Control treatment was

also included to which no enzyme was added. Duplicate determination (two bioreactors per

treatment) of each treatment was carried out, and eight bioreactors were run at the time. The

bioreactors were incubated at 30°C with constant stirring. The mixtures were incubated during 48 h,

during which no feed or water was removed or added (Table 3). This was denoted the initial phase

of fermentation. A sample was collected at 0, 24, and 48 h of incubation. After 48 h of incubation

50% of the mixture was removed and replaced with the same amount of fresh feed, water and

enzyme (backslopping). This procedure simulates conditions found in farms where a portion of the

mixture remains in the tank/ pipelines between meals and acts as inoculum when fresh feed and

water are added at the next feeding time. The same procedure was followed at 72, 96, 120, 144 and

168 h in Exp. 1 and 72, 96, 120 and 144 h in Exp. 2. After backslopping had been practiced, the

FLF system simulated the dynamics of a steady state cycle, as defined in Jensen and Mikkelsen

(1998), where microbiological counts and pH reach a steady level between every backslopping.

Samples were collected at 0, 6, 12 and 24 h after the last backslopping (i.e. 168, 174, 180 and 192 h

of incubation in Exp. 1; 144, 150, 156 and 168 h of incubation in Exp. 2). Before sample collection

at Time 0 and Time 168 / Time 144, the mixture in the bioreactors had been stirred for 30 minutes

to ensure proper mixing of the freshly added ingredients. Samples (100 g) were placed on ice during

collection, and subsamples were taken for microbiological determinations (10 g); short chain fatty

acid (SCFA) and lactic acid and succinic acid concentration (5 g); and for determination of NSP,

soluble crude protein, and phytate (85 g). The microbial determinations were conducted on fresh

samples within one hour of sampling. The subsamples for short chain fatty acids, lactic acid and

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succinic acid were frozen and stored at -20°C until analysis. Samples for the remaining analyses

were frozen, stored at -20°C and freeze-dried before being analysed. At every sampling and

backslopping, pH and temperature were measured.

2.3 Analytical methods

Chemical analysis: Dry matter content was determined by freeze drying the samples. To express

results of NSP and soluble crude protein in DM percentage, samples were further dried to constant

weight at 60°C. The concentration of SCFA, lactic acid and succinic acid were determined by gas

chromatography as described by Jensen et al. (1995a) with some modifications (Canibe et al.,

2007). Non-starch polysaccharides were analysed by a modification of the Uppsala procedure and

that of Englyst et al. (1982), as described by Bach Knudsen (1997). Phytate-P was measured using

the Megazyme Phytic acid kit (K-Phyt, Megazyme, Bray, Ireland). A few modifications to the

Megazyme protocol (Megazyme, 2012) were made; 0.5 g sample was used and samples were

centrifuged at 20.000 x g. Only one sample (fermentor) per treatment was analyzed for phytate-P

concentration. Buffer soluble nitrogen was determined by extraction with borate-phosphate buffer

and determination of nitrogen content using the Kjeldahl method according to the procedure from

the Nordic Feed Evaluation System (NorFor, 2013), with some modifications. The amount of

sample used was 1.5 ± 0.05 g and 50 mL borate-phosphate buffer was added. After incubation at

39°C for 1 h, samples were directly filtered through nitrogen free filter paper, without prior

centrifugation.

Microbial determinations: Liquid feed samples (10 g) were transferred into plastic bags and

diluted ten-fold in peptone water (10 g Bacto Peptone (Merck 1.07213)/L and 1 g Tween 80/L). The

suspension was homogenised in a stomacher blender (Interscience, St. Nom, France) for 2 min.

Ten-fold dilutions were prepared in peptone water by the technique of Miller and Wolin (1974), and

samples (0.1 mL) were plated on selective media. Lactic acid bacteria (LAB) were enumerated on

de Man, Rogosa and Sharp (MRS) agar (Merck 1.10660) following anaerobic incubation at ~20°C

for 3 days. Enterobacteriaceae were enumerated on McConkey agar (Merck 1.05465) following

incubation at 37°C for 1 day. Yeasts and moulds were enumerated on malt

chloramphenicol/chlortetracycline (MCA) agar (10 g glucose [Merck 1.08337]/L, 3 g malt extract

[Merck 1.05397]/L, 3 g yeast extract [Merck 1.03753]/L, 5 g Bacto Peptone [Merck 1.07224], 50

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mg chlortetracycline + 50 mg chloramphenicol [SR0177E, Oxoid LTD, Basingstoke, Hampshire,

England]/L, 15 g agar [Merck 1.01614]/L) following incubation at ~20°C for 3 days.

2.4 Calculations and Statistical analysis

Microbial counts were logarithmically transformed before statistical analysis. Unless otherwise

stated, the lowest detection level for microbial enumerations was 3.0 log cfu/g.

The impact of the treatments on soluble crude protein- and NSP concentration was calculated as

percentage difference from 0 to 48 hours (initial phase) and from 168 to 192 hours of fermentation

(Exp. 1) or 144 to 168 hours of fermentation (Exp. 2) (steady state) according to the following

equation:

������������������� = ������������ − ������������

�������������100

Where Tf is Time 48 or Time 192/168; and Ti is Time 0 or 168/144.

Data was statistically analyzed using SAS for Windows version 9.3 (SAS Institute, Cary, NC).

The impact of the treatments on changes in the concentration of NSP and soluble crude protein

during incubation was analysed according to a two-way analysis of variance with treatment and run

as main effects. Impact on organic acids, pH, and microbiological enumerations at various time

points during incubation was analysed using the mixed procedure, with treatment, time, their

interaction, and run as fixed effects, and taking into account the correlation between measurements

made on the same bioreactor at various time points by using the repeated statement.

When the effect of run in both procedures was non-significant (P>0.05), this parameter was

removed from the model. Multiple comparisons between Control and the individual enzyme

treatments were adjusted using the Bonferroni Holm method (Holm, 1979). Effects were considered

significant at an alpha P≤0.05. Statistical analysis of LAB counts on fermented wDDGS from 0 to

48 hours was not conducted due to most data being below detection level.

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3. Results

3.1 Rapeseed cake (Exp. 1)

The temperature at Time 0 was 26.7 ± 0.4°C increasing to 30.0 ± 0.6°C at 24 h and was hereafter

constant (data not shown). No significant differences in the counts of LAB were observed between

treatments at any Time during incubation (Fig 1A). The number of LAB at Time 0 was <3.0 - 3.8

log cfu/g for all treatments. At Time 24, an increase to 9.4 - 9.8 log cfu/g was measured and this

level was kept constant throughout the experiment. The initial number of Enterobacteriaceae was

3.1 - 4.5 log cfu/g (Fig. 1B). At 24 hours of incubation, a blooming was observed for all treatments,

with levels varying between 5.4 and 7.6 log cfu/g. Samples treated with GluXylPec (Enz. 6) showed

a lower Enterobacteriaceae count at 24 and 48 hours (P≤0.01) compared to the Control samples. By

six hours after the last backslopping (Time 174), the counts of Enterobacteriaceae were reduced to

<3.0 - 4.4 log cfu/g in all treatments. During the whole experiment, yeasts represented a small part

of the total microbial community in the fermented RSC, with most values being between <3.0 and

4.0 log cfu/g (data not shown). Similarly, the mould counts were near the detection limit of 3.0 log

cfu/g throughout the experiment (data not shown).

Addition of GluXylPec (Enz. 6) had an effect on pH and lactic acid and acetic acid

concentrations compared to the Control (Fig. 2). A significant decrease in pH at Time 24 (4.26 in

the GluXylPec vs. 4.58 in the Control, P<0.001) and the remaining incubation time was observed.

An associated increase in acetic acid was also measured at Time 24 (27.8 mmol/kg in the

GluXylPec vs. 17.9 mmol/kg in the Control, P<0.01), and the effect was consistent throughout the

experiment. Lactic acid concentration in samples containing GluXylPec (Enz. 6) had higher values

than those in the Control during the steady state phase (P≤0.05). The samples treated with

PhyXylGlu (Enz. 5) had a lower pH value compared to the Control at Time 24, 48, and 6, 12 and 24

h after the last backslopping (174, 180 and 192 hours of incubation) (P≤0.05), but an effect on

organic acids was only detected 24 h after the last backslopping with an increased level of acetic

acid (P<0.05).

The concentration of total-, soluble-, and insoluble-NSP monomers in non-fermented RSC is

shown in Table 4. The concentration of total-NSP was 235.3 g/kg DM; 82% of these

polysaccharides being insoluble prior to fermentation. The main monomers in RSC were glucose

(76.5 g/kg), uronic acids (58.1 g/kg), arabinose (47.9 g/kg), galactose (20.9 g/kg) and xylose (18.4

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g/kg). The Control treatment showed an increased concentration of total-NSP by 11.5% during the

initial phase and by 5.1% during the steady state phase (Table 5). The enzyme treatment having the

biggest impact on total-NSP content during both incubation phases was GluXylPec (Enz. 6); the

decrease in total-NSP after adding GluXylPec (Enz. 6) was 31.1%, corresponding to 73.3 g/kg DM

(P<0.001), in the initial phase; and 12.7%, corresponding to 24.5 g/kg DM (P<0.01), during the

steady state phase. The monomers contributing to this decrease (initial phase) were arabinose (22.7

g/kg), glucose (16.8 g/kg), uronic acids (12.1 g/kg), xylose (10.3 g/kg), and galactose (7.8 g/kg)

(supplementary data). GluXylPec (Enz. 6), Cel (Enz. 8) and CeXyl (Enz. 9) all showed a significant

decrease in the concentration of insoluble-NSP during the initial phase compared to the Control

(P<0.001), with GluXylPec (Enz. 6) showing the biggest effect (42.4%, corresponding to 81.9 g/kg

DM). The main monomers contributing to the decrease in insoluble-NSP were the same as those for

total-NSP. When steady state was reached, only the RSC treated with GluXylPec (Enz. 6) showed a

significant decrease of insoluble-NSP (16.6%, corresponding to 24.3 g/kg DM, P≤0.05). No

significant impact of treatment on soluble-NSP was measured. These data showed a high variation,

probably caused by the low concentration of soluble-NSP found in RSC, which makes precise

determinations difficult.

Non-fermented RSC contained 250.5 g/kg CP, of which 40% was soluble (Table 4). All

treatments, including the Control, showed a numerical increase in the amount of soluble crude

protein during the initial phase (Table 6). Two enzyme treatments showed a significant (P ≤ 0.05)

increase in the concentration of soluble crude protein compared to the Control, Phy (Enz. 1)

(17.5%, corresponding to 17.0 g/kg DM)) and GluXylPec (Enz. 6) (14%, corresponding to 14.3

g/kg DM). GluXylPec (Enz. 6) was the only treatment having a small numerical increase in soluble

crude protein of 3% during steady state.

Three of the enzyme treatments (Phy [Enz. 1], PhyXyl [Enz. 4], and PhyXylGlu [Enz. 5])

contained phytase. These enzyme treatments resulted in a pronounced reduction in the amount of

phytate-P (Fig. 3). At 0 hours of fermentation, the concentration of phytate-P in the three samples

was estimated to be between 7.6 and 8.5 g/kg, and was at 48 hours reduced to between 0.6 and 1.1

g/kg. This low level of phytate-P was kept throughout the experiment. The other enzyme treatments

showed no reduction in phytate-P, as neither did the Control.

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3.2 Dried distillers grains with solubles (Exp. 2)

The initial temperature in all bioreactors was 25.9 ± 1.5°C, increasing to 30.1 ± 0.6°C at 24 h and

was constant thereafter (data not shown). The number of LAB was below the detection level of 3.0

log cfu/g at Time 0 (Fig. 4A) and it was not until the last backslopping at 144 hours, where the

counts were above the detection limit with values of 8.4 - 8.7 log cfu/g. This level was rather stable

until the end of the study. Yeast counts were below detection limit at Time 0 (Fig. 4B). A

pronounced increase was found at Time 24, CeXyl (Enz. 9) and Xyl (Enz. 2) showing the highest

levels (7.7 and 6.9 log cfu/g respectively [P<0.001]), whereas the levels in the remaining treatments

were 4.6 – 5.6 log cfu/g. At Time 48, all treatments had similar values ranging between 7.1 and 8.1

log cfu/g. During steady state, an increase was measured in all treatments from 5.7 – 6.8 log cfu/g

(after new feed had been added) to 6.9 – 8.1 log cfu/g 24 h later (168 h). Enterobacteriaceae and

moulds were below the detection limit of 3.0 log cfu/g throughout the experiment (data not shown).

The initial pH in the wDDGS was 3.8 for all treatments (Fig. 5). After backslopping, the pH was

between 3.4 - 3.5 at Time 144 and gradually decreased to 3.2 - 3.3 at the end of the study. Enzyme

addition did not affect lactic acid concentration during the experiment. The acetic acid

concentration was higher in the GluXylPec (Enz. 6) treatment 12 h after the last backslopping (156

h) (P≤0.01), and in the CeXyl (Enz. 9) and Xylmix (Enz. 7) treatments 24 h after the last

backslopping (168 h) (P<0.001) compared to the Control.

Non-fermented wDDGS contained 233.9 g/kg total-NSP of which 79% was insoluble (Table 4).

The main total-NSP monomers in wDDGS were glucose (85.8 g/kg), xylose (69.4 g/kg) and

arabinose (44.0 g/kg). All six enzyme treatments showed significant decreases in total-NSP in the

initial phase compared to the Control (P≤0.01) (Table 7). However, the levels of total-NSP in the

Control treatment were higher at Time 0 (264 g/kg NSP in the Control vs. 224 g/kg NSP in the

enzyme treatments) and at all sampling times, which could indicate either very efficient enzymes or

a systematic error (se discussion for further details). All six enzymes had their primary effect on

xylose (supplementary data) with values of 11.9 ± 2.5 g/kg decrease (Control 3.6 g/kg increase).

Further, all enzymes showed a small reduction in the concentration of arabinose of 3.5 ± 1.6 g/kg

(Control 0.5 g/kg increase); and CelXyl (Enz. 9), Xylmix (Enz. 7), Xyl (Enz. 2) and XylGluA (Enz.

10) in the concentration of glucose (3.1 ± 2.7 g/kg). During steady state, smaller changes in the

total-NSP concentration were measured (between 5.1% decrease and 3.4% increase for all enzyme

treatments). The enzymes showing the biggest numerical disappearance of insoluble-NSP in the

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initial phase were XylGluB (Enz. 11), Xyl (Enz. 2), and XylGluA (Enz. 10). Addition of CeXyl

(Enz. 9), GluXylPec (Enz. 6), and Xylmix (Enz. 7) resulted in a significant decrease of soluble-NSP

(37.1, 31.3 and 23.7 %, respectively) in the initial phase. As for total-NSP, smaller changes in

insoluble-NSP and soluble-NSP were measured when steady state had been reached.

All treatments showed a numerical reduction in the amount of soluble crude protein in fermented

wDDGS during the initial phase of fermentation (Table 8). The samples treated with XylGluB (Enz.

11), CelXyl (Enz. 9), and XylGluA (Enz. 10) resulted in a significant decrease (13.4, 8.5, and 7.9%,

respectively, P<0.05) compared to the Control (0.7 %). After steady state had been reached, CeXyl

(Enz. 9) showed the highest reduction of soluble crude protein (9.7%), but the difference was only

numerical.

4. Discussion

4.1 Rapeseed cake (Exp. 1)

All treatments showed increased numbers of LAB with a concomitant increase in lactic acid and

acetic acid, and a reduction of pH and of Enterobacteriaceae counts as fermentation progressed.

This characterizes a microbiologically good quality FLF system similar to a standard grower diet

being fermented (Canibe and Jensen, 2012).

The measured level of total-NSP/kg DM of 235 g in RSC corresponds well with values

previously found in RSC and RSM (187 to 219 g total-NSP/kg DM) (Slominski and Campbell,

1990; Gdala et al., 1997), though in the high end. The main monomers measured were glucose,

uronic acids, arabinose, galactose and xylose. This indicated the presence of hemicellulose in the

form of xyloglucans and xylans, and pectin, which were also found in other studies analysing the

polysaccharide fraction of RSC and RSM (Ghosh et al., 2004; Pustjens et al., 2013). Rapeseed co-

products are characterised by high levels of pectin (Egües et al., 2010; Pustjens et al., 2013); this

was confirmed in the current study by the presence of 58 g uronic acids/kg DM. Pectic structures

often have arabinan side-chains (Thakur et al., 1997), which are responsible for the high level of

arabinose in the samples (48 g/kg). Other possible sources of arabinose in rapeseed co-products are

arabinoxylans, arabinans and arabinogalactans (Ghosh et al., 2004; Egües et al., 2010; Pustjens et

al., 2013). Due to the high amount of pectin in RSC and RSM, the cell wall is very tightly

associated (Pustjens et al., 2013), which together with the relatively high lignin content of RSC

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(Gdala et al., 1997), are responsible for the high insolubility of NSP in the RSC (in the current study

83% of total-NSP being insoluble). Lignin is a phenolic compound which cross-link to cell wall

polysaccharides and hereby cements the cell wall (Iiyama et al., 1994).

The fermentation process alone (illustrated through Control samples) did not show a reduction in

total-NSP, as observed in previous studies on fermented diets containing soybean meal and/or

wheat and barley (Christensen et al., 2007; Jørgensen et al., 2010). However, a numerical increase

in soluble-NSP (from 44.6 g/kg to 60.8 g/kg DM) was observed (supplementary data). Of the

enzyme treatments GluXylPec (Enz. 6) was the only treatment showing a decrease in total-NSP and

the highest decrease of insoluble-NSP, possibly because of the pectinase activity that solubilises

pectins from the hull fraction of RSC/RSM (Pustjens et al., 2013). The method used in the present

study to determine NSP determines polymers with a degree of polymerization of minimum ten.

Therefore, the decrease in total-NSP suggests that the GluXylPec (Enz. 6) enzyme combination not

only solubilized some of the insoluble-NSP, but also broke down the polysaccharides to oligo- and

monomers. The oligo- and monomers released from the GluXylPec (Enz. 6) treatment could be an

additional source of substrate for microorganisms in the mixture. The observed increased acetic acid

and lactic acid concentrations along with a decreased pH in the GluXylPec (Enz. 6) treatment

compared to the Control indicate that this was the case. These factors are presumably responsible

for the significantly lower Enterobacteriaceae counts measured at 24 and 48 hours of fermentation

in the GluXylPec (Enz. 6) compared to the Control. After this point, the fermentation process alone

inhibited Enterobacteriaceae growth substantially.

Rapeseed cake is a rich source of high quality protein for pigs (Mansour et al., 1993; Gdala et al.,

1997), but since it contains a high amount of NSP, the accessibility of the protein by the

endogenous enzymes can be hampered (McDonnell et al., 2010). The use of carbohydrases to

degrade fibre to a more soluble form therefore has the potential to increase the solubility of the

protein present in RSC. Bringing the protein into solution is the first step towards utilization of this

nutrient by the animal. This is also illustrated by a study where different solubility measurements on

RSC (including protein solubility in sodium borate buffer), similar to the method used in the current

study, showed to be correlated with biological value measured in rats, i.e. proportion of N retained

to N absorbed (Pastuszewska et al., 2003).

The current results showed that addition of Phy (Enz. 1) gave a significant increase in soluble

crude protein in the initial phase. This is in line with previous studies showing that phytase has a

“side effect” on protein and amino acid digestibility (Selle and Ravindran, 2008). Several studies

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have shown that addition of phytase to a diet adequate in P results in increased growth performance

(Beers and Jongbloed, 1992), increased ileal digestibility of amino acids (Kiarie et al., 2010) and

protein (Ketaren et al., 1993). However, studies showing no effect have also been reported (Peter

and Baker, 2001; Adeola and Sands, 2003). The mode of action behind the effect of phytase on

protein and amino acid digestibility is not fully understood; although protein-phytate complex

formation and negative effect of phytate on amino acid flow and intestinal uptake has been

suggested (Selle and Ravindran, 2008). Phytate is the storage molecule of phosphorus in plants, and

pigs are unable to digest the molecule, as they lack the enzyme phytase (Cromwell, 1992).

Addition of GluXylPec (Enz. 6), which reduced NSP concentration, showed the second largest

increase in soluble crude protein in the initial phase and as the only enzyme had a small numerical

increase during steady state. These results can possibly be explained, as mentioned above, by

disruption of cell walls, reflected in the reduction of total-NSP and insoluble-NSP, which allows

accessibility of endogenous enzymes to the protein.

Besides a high level of NSP and lignin, RSC has the disadvantage from a nutritional point of view

of containing other anti-nutritional factors, such as phytate and glucosinolates (Jeroch et al., 2008;

Blaabjerg et al., 2010). Phytate is, as mentioned above, indigestible to pigs and it binds to several

minerals, leaving them unavailable for absorption in the gastrointestinal tract (Ekholm et al., 2003).

It has previously been reported that the process of soaking during fermentation of feed decreases the

amount of phytate-P mediated by pre-digestion by endogenous phytases in the plant ingredients

(Larsen et al., 1999; Carlson and Poulsen, 2003; Blaabjerg et al., 2010). In the current study, as seen

by others (Brooks et al., 2001; Blaabjerg et al., 2010), the fermentation process alone did not reduce

the amount of phytate-P of RSC. This indicates that the microorganisms present in the liquid feed

were unable to degrade phytate-P, and that the activity of endogenous phytase in this product was

low, as shown previously (Brooks et al., 2001; Blaabjerg et al., 2010). Enzyme treatments

containing phytase did, as expected (Blaabjerg et al., 2010), reduce phytate-P during fermentation.

Based on the high levels of phytate and low endogenous phytase in RSC, these results underline the

advantage of adding exogenous phytase when fermenting RCS alone.

The level of phytate-P was lower than expected at 168 h (after backslopping), which was most

likely a result of the sampling procedure. As described above after backslopping, and to ensure

proper mixing, the content of the bioreactors was stirred for 30 min before sampling. Then, samples

were placed on ice and frozen at -20°C. During the time lag between backslopping and complete

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freezing of the samples, the phytases could have exerted their action on the substrate. This indicates

that the action of the phytases at the given conditions was rapid, what is supported by the data from

similar conditions of Carlson and Poulsen (2003), and Blaabjerg et al. (2010) showing the greatest

degradation rate of phytate with addition of phytase during the initial two hours of soaking. The

effect of phytase addition was however not seen at Time 0, which could be speculated to be a result

of the pH at this time (pH between 6.2 and 6.3) being higher than the optimal for the enzymes (pH ~

5.0) (Hill and Tyler, 1954; Wyss et al., 1999).

Glucosinolates are a group of sulphur-containing secondary plant metabolites, which have been

related to reduced palatability of feed along with several adverse health effects (Tripathi and

Mishra, 2007). Samples from the current study were screened for the total amount of glucosinolates

by analyzing the Control at Time 0 and Time 192 and one sample from each treatment at Time 192

(data not shown). The results showed a pronounced decrease in the Control (from 38.0 µmol/g DM

at 0 hours to 3.0 µmol/g DM at 192 hours), which indicated that the fermentation process was able

to break down glucosinolates present in RSC. The enzyme treatments did not result in a further

decrease. The relevance of these current results needs further examination, as only a few samples

were analyzed, and the breakdown products produced from the glucosinolates can be more toxic

than the originating molecule (Jensen et al., 1995b). A study with rats was conducted in our

laboratory aiming at investigating the biological relevance of this reduction in total glucosinolates

by fermentation (S. K. Jensen et al., unpublished). The same RSC batch as that tested in the present

study was used. The data showed no significant difference in the weight of the thyroid gland in rats

fed the fermented RSC compared to those fed the non-fermented RSC, but a numerically lower

value in the fermented RSC group. An enlargement of the thyroid gland is known to be related to

glucosinolate intake (Schone et al., 2001). Hence, these data indicated that the reduction in total

glucosinolate content by fermentation does not result in more toxic metabolites, likely the opposite.

Similarly, a reduction in the glucosinolate content has been reported in solid state fermentation of

canola meal for broilers, resulting in increased ileal digestibility of CP and several AA (Ahmed et

al., 2014).

4.2 Dried distillers grains with solubles (Exp. 2)

During the process of producing bioethanol from wheat, yeasts are added (van Zyl et al., 2007).

Our results showed that yeasts were still present in the wDDGS and rapidly increased during the

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fermentation process. The low initial pH of DGGS, however, resulted in a low microbial activity in

this substrate during the initial 48 h of incubation as compared to RSC or compound pig feed

(Canibe and Jensen, 2012), whereas the number of microorganisms and the concentration of

fermentation metabolites increased drastically after backslopping.

The measured concentration of total-NSP in wDDGS (234 g/kg DM) is in line with results from

previous studies (167 to 229 g/kg DM) (Widyaratne and Zijlstra, 2007; Rosenfelder et al., 2013),

though as with RSC, in the high end. The main monomers measured were arabinose, xylose, and

glucose, which was also the case in a study by Widyaratne and Zijlstra (2007). A recent study has

shown that the NSP in wDDGS is similar to that found in wheat, only concentrated (Pedersen et al.,

in press). The monomers reflect the presence of the polysaccharides arabinoxylans, cellulose and β-

glucans, measured in Pedersen et al. (in press) and the current study.

To our knowledge, no studies have been published on the detailed composition of cell wall

polysaccharides of wDDGS. However, the composition of the monomers reflects the presence of

the polysaccharides arabinoxylans, cellulose and β-glucans present in the parent grain (Bach

Knudsen, 1997; Souffrant, 2001; Knudsen, 2014). The fermentation process itself did not increase

the solubility of NSP in wDDGS, although this has previously been shown when fermenting wheat

(Sholly et al., 2011). Widyaratne and Zijlstra (2007) measured 22% of total-NSP as being soluble in

wheat, whereas the ratio increased to 33% in wDDGS. A similar correlation was found in Pedersen

et al. (in press). This indicates that solubilization of NSP occurred during the process of producing

wDGGS. It can be hypothesized that the NSP in this later product are more resistant to

solubilisation then those in wheat. This could partially explain the difference in the effect of

fermentation on NSP solubilisation of wheat (Christensen et al., 2007; Jorgensen et al., 2010;

Sholly et al., 2011) and in wDGGS seen in the current study.

All six enzyme treatments showed a significant decrease in the amount of total-NSP during the

initial phase of fermentation. However, the level of NSP in the Control samples was higher than in

the enzyme treatments already at Time 0. This was a surprising result, which might be explained by

the sampling procedure (as mentioned previously with phytase activity in RSC). To obtain

sufficient mixing, samples collected at Time 0 had been stirred for 30 min with enzymes added

prior to collection. Furthermore, during the collection from eight fermentors, samples were placed

on ice and at the end frozen by placing them at -20°C. The lower NSP level in the enzyme samples

could indicate very efficient enzymes able to degrade the substrate during the initial 30 min of

mixing and the lag time until the samples were frozen. Another possibility for the observed

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difference between the Control and the enzyme treatments at Time 0, would be a systematic error.

However, we have not been able to identify it.

All enzymes resulted in a decrease of primarily the monomer xylose, with a small decrease in

arabinose (supplementary data), indicating an enzymatic hydrolysis of arabinoxylans. Although

three enzymatic treatments showed a decrease in both total-NSP and soluble-NSP, the effect was

not reflected in the levels of organic acids. It would be expected, as seen in the experiment with

RSC, that lower NSP levels would result in increased substrate levels for microorganisms, leading

to increased levels of lactic acid and acetic acid. It seems, however, that the decreases in NSP

obtained in wDDGS were too low to be reflected in the levels of these acids. On the other hand, it

cannot be ruled out that the substrates had been made available by the effect of the enzymes but the

microorganisms present in the liquid feed were not active enough to further metabolize them due to

the low pH of the mixture at all times.

The valuable protein present in DDGS is bound in the NSP-rich matrix (McDonnell et al., 2010),

and the addition of carbohydrases therefore has the potential to increase the accessibility of the

protein to the animal. This has been demonstrated by Diebold et al. (2004) who observed an

increase in apparent ileal digestibility (AID) of most AA, and (Barrera et al., 2004) who reported

increased AID of CP and AA upon xylanase addition to wheat-based diets. In the current study, no

effect on protein solubility was observed, presumably because the degradation of NSP was not

sufficient to solubilise protein. Rather, a decrease in soluble crude protein was observed for three

enzymes (CelXyl [Enz. 9], XylGluA [Enz. 10] and XylGluB [Enz. 11]). Decreased protein

digestibility has previously been observed in our laboratory upon fermentation of liquid condensed

solubles from dehulled wheat (unpublished data). The cause of this is at present unknown.

An overall difference in the effect of enzyme addition was seen between the two phases of

fermentation. Feed in the initial phase is characterised by fluctuating values of microbial counts and

pH, what is considered less biosafe than FLF that has reached the steady state (Canibe and Jensen,

2012). However, our results indicated that the effect of the exogenous enzymes was most prevalent

in the initial phase of fermentation, suggesting that it is not necessary to reach steady state to obtain

optimal effect from the enzymes.

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5. Conclusion

Of the nine enzyme mixtures tested on RSC, the enzyme mixture with β-glucanase, xylanase and

pectinase activities (GluXylPec [Enz. 6]) showed the most pronounced effect. A significant

decrease in the amount of total-NSP and insoluble-NSP was observed in both the initial phase of

fermentation and during steady state, with a concomitant increase in lactic acid and acetic acid

concentration in samples treated with GluXylPec (Enz. 6). This enzyme mixture also increased

protein solubility of RSC during fermentation. Similar clear effects of enzyme addition on wDDGS

were not seen. All six enzymes showed a small reduction of total-NSP, while three enzymes also

resulted in a decrease in the amount of soluble-NSP (GluXylPec [Enz. 6], CeXyl [Enz. 9] and

Xylmix [Enz. 7]). However, none of them increased the solubility of protein or the concentration of

organic acids. For both ingredients, the most pronounced effect was found in the initial phase of

fermentation.

Acknowledgements

The authors thank Vibe Glitsø from Novozymes A/S and Elijah Kiarie from DuPont Industrial

Biosciences-Danisco UK Ltd. for delivery of enzymes and comments made to the manuscript. We

acknowledge skilful technical assistance from Karin Durup, Trine Poulsen, Thomas Rebsdorf,

Gunhild Ladehoff, Lisbeth Märcher and Stina Greis Handberg.

Conflict of interest

There is no conflict of interest to report regarding this paper.

Figure legends

Figure 1. Lactic acid bacteria (log cfu/g) (A); and Enterobacteriaceae (log cfu/g) (B) in rapeseed

cake during fermentation without and with different enzymes added. No enzyme added (Control),

Phytase (Phy), Xylanase (Xyl), Xylanase + β-glucanase (XylGlu), Phytase + Xylanase (PhyXyl),

Phytase + Xylanase + β-glucanase (PhyXylGlu), β-glucanase + Xylanase + Pectinase (GluXylPec),

Xylanase mixture (Xylmix), Cellulase (Cel) and Cellulase + Xylanase (CelXyl). Control n = 4,

enzymes n = 2. Values are least square means (LSM) and standard error of means (SEM). *P≤0.05,

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+P≤0.01. P-values relate to differences between the individual enzymes and the Control at the given

time.

Figure 2. The pH (A), lactic acid (B) and acetic acid (C) concentrations (mmol/kg) in rapeseed cake

during fermentation without and with different enzymes added. No enzyme added (Control),

Phytase (Phy), Xylanase (Xyl), Xylanase + β-glucanase (XylGlu), Phytase + Xylanase (PhyXyl),

Phytase + Xylanase + β-glucanase (PhyXylGlu), β-glucanase + Xylanase + Pectinase (GluXylPec),

Xylanase mixture (Xylmix), Cellulase (Cel) and Cellulase + Xylanase (CelXyl). Control n = 4,

enzymes n = 2. Values are least square of means (LSM) and standard error of means (SEM).

*P≤0.05, +P≤0.01, #P≤0.001. P-values relate to differences between the individual enzyme and the

Control at the given time.

Figure 3. Phytate-P (g/kg) in rapeseed cake during fermentation without and with different

enzymes added. No enzyme added (Control), Phytase (Phy), Xylanase (Xyl), Xylanase + β-

glucanase (XylGlu), Phytase + Xylanase (PhyXyl), Phytase + Xylanase + β-glucanase

(PhyXylGlu), β-glucanase + Xylanase + Pectinase (GluXylPec), Xylanase mixture (Xylmix),

Cellulase (Cel) and Cellulase + Xylanase (CelXyl). Control n = 2, enzymes n = 1.

Figure 4. Lactic acid bacteria (log cfu/g) (dotted line indicates detection level at Time 24 and Time

48 for GluXylPec, CeXyll (Enz. 9) and Xylmix). Most counts were below detectable levels of 5-6

log CFU/g between Time 0 and Time 48 (A); and yeasts (log cfu/g) (B) in dry distillers grains with

solubles during fermentation without and with different enzymes added. No enzyme added

(Control), β-glucanase + Xylanase + Pectinase (GluXylPec), Cellulase + Xylanase (CelXyl),

Xylanase mixture (Xylmix), Xylanase (Xyl), Xylanase + β-glucanase A (XylGluA) and Xylanase +

β-glucanase B (XylGluB). Control n = 4, enzymes n = 2. Values are least square of means (LSM)

and standard error of means (SEM), except from Time 0 to Time 48 where statistical analysis was

not possible due to many values below detection level. Here values are means and standard

deviation (SD). #P≤0.001. P-values relate to differences between the individual enzyme and the

Control at the given time.

Figure 5. The pH (A), lactic acid (B) and acetic acid (C) concentrations (mmol/kg) in dried distillers

grains with solubles during fermentation without and with different enzymes added. No enzyme

added (Control), β-glucanase + Xylanase + Pectinase (GluXylPec), Cellulase + Xylanase (CelXyl),

Xylanase mixture (Xylmix), Xylanase (Xyl), Xylanase + β-glucanase A (XylGluA) and Xylanase +

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β-glucanase B (XylGluB). Control n = 4, enzymes n = 2. Values are least square of means (LSM)

and standard error of means (SEM). *P≤0.05, +P≤0.01, #P≤0.001. P-values relate to differences

between the individual enzyme and the Control at the given time.

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Table 1

Enzymes, their activity and doses used in Exp. 1 – rapeseed cake.

Abbreviation ID no. Enzyme Activity (U/g product)

Dose2

(g/kg DM) Manufacturer

Phy Enz. 1 Phytase 2000 0.5 DuPont

Xyl1 Enz. 2 Xylanase 5000 0.5 DuPont

XylGlu1 Enz. 3 Xylanase β-glucanase

5000 610

0.5 0.5

DuPont

PhyXyl1 Enz. 4 Phytase Xylanase

2000 5000

0.5 0.5

DuPont

PhyXylGlu1 Enz. 5 Phytase Xylanase β-glucanase

2000 5000 610

0.5 0.5 0.5

DuPont

GluXylPec1 Enz. 6 β-glucanase Xylanase Pectinase

80 Not declared Not declared

15 Novozymes

Xylmix Enz. 7 Xylanase mixture 800 15 Novozymes

Cel1 Enz. 8 Cellulase 1000 15 Novozymes

CelXyl1 Enz. 9 Cellulase Xylanase

600 300

15 Novozymes

1 Multicomponent enzymes, which were produced during fermented of the wildtype organism. This

resulted in production of multiple enzymes from which only the declared are presented.

2 Doses were established in accordance to the recommendations of the suppliers. Enzymes from

Dupont were commercial available enzymes; top registered doses were used. Enzymes from

Novozymes were experimental enzymes.

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Table 2

Enzymes, their activity and doses used in Exp. 2 - dried distillers grains with solubles.

Abbreviation ID no. Enzyme Activity (U/g product)

Dose2

(g/kg DM) Manufacturer

GluXylPec1 Enz. 6 β-glucanase Xylanase Pectinase

80 Not declared Not declared

15 Novozymes

CelXyl1 Enz. 9 Cellulase Xylanase

600 300

15 Novozymes

Xylmix Enz. 7 Xylanase mixture 800 15 Novozymes

Xyl1 Enz. 2 Xylanase 8000 1 Dupont

XylGluA1 Enz. 10 Xylanase β-glucanaseA

8000 1000

1 Dupont

XylGluB1 Enz. 11 Xylanase β-glucanaseB

8000 1000

1 Dupont

1 Multicomponent enzymes, which were produced during fermented of the wildtype organism. This

resulted in production of multiple enzymes from which only the declared are presented.

2 Doses were established in accordance to the recommendations of the suppliers. Enzymes from

Dupont were commercial available enzymes; top registered doses were used. Enzymes from

Novozymes were experimental enzymes.

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Table 3

Experimental procedure for fermentation of rapeseed cake and dried distillers grains with solubles

with indication of sampling and backslopping (BS) time1.

Exp. 1 – Rapeseed cake

Initial phase Backslopping Steady state2

Time (h) 0 24 48 72 96 120 144 168(0) 174(6) 180(12) 192(24)

BS x x x x x x Sampling ¤ ¤ ¤ ¤ ¤ ¤ ¤

Exp. 2 – Dried distillers grains with solubles

Initial phase Backslopping Steady state2

Time (h) 0 24 48 72 96 120 144(0) 150(6) 156(12) 168(24)

BS x x x x x Sampling ¤ ¤ ¤ ¤ ¤ ¤ ¤ 1Backslopping (BS), in which 50 % of the fermented mixture was replaced with fresh ingredient,

water and enzyme.

2Numbers in brackets indicate sampling time after the last BS.

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Table 4

Non-starch polysaccharides (NSP) and crude protein (g/kg DM) in rapeseed cake (RSC) and dried

distillers grains with solubles (wDDGS)1.

Item RSC wDDGS

Total Insoluble Soluble Total Insoluble Soluble

Rhamnose 2.3 1.7 0.6 0.2 0.1 0.1 Fucose 2.0 1.8 0.2 0.1 0.1 0.0 Arabinose 47.9 35.3 12.6 44.0 35.1 9.0 Xylose 18.4 16.3 2.1 69.4 55.1 14.3 Mannose 9.3 6.7 2.6 17.3 7.0 10.3 Galactose 20.9 15.9 5.0 8.5 3.9 4.6 Glucose 76.5 77.7 0.0 85.8 77.2 8.7 Uronic acids 58.1 38.4 19.7 8.6 5.8 2.8

Total NSP 235.3 193.8 41.5 233.9 184.2 49.7

Crude protein 250.5 149.5 101.0 294.8 218.4 76.4 1 Values are mean of all samples at Time 0 of incubation (RSC n=22, wDDGS n=16).

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Table 5

Percentage change in the concentration of total-non-starch polysaccharides (NSP), insoluble-NSP

and soluble-NSP in rapeseed cake during fermentation in the initial phase (from 0 to 48 hours) and

in steady state (from 168 to 192 hours).

Item1 Initial phase Steady state

LSM2 SEM3 P-value4 LSM SEM P-value

Total NSP Control 11.5 (27.7) 2.2 5.1 (12.3) 1.9

Phy (1) 12.6 (31.1) 3.1 NS 10.5 (24.7) 2.7 NS

Xyl (2) 14.3 (33.6) 3.1 NS 7.0 (16.1) 2.7 NS XylGlu (3) 7.1 (16.6) 3.1 NS 0.7 (1.7) 2.7 NS PhyXyl (4) 10.5 (24.7) 3.1 NS 4.3 (9.8) 2.7 NS PhyXylGlu (5) 11.5 (26.6) 3.1 NS 1.8 (3.6) 2.7 NS GluXylPec (6) -31.1 (-73.3) 3.1 *** -12.7 (-24.5) 2.7 ** Xylmix (7) 10.2 (23.2) 3.1 NS 9.5 (21.8) 2.7 NS Cel (8) 3.3 (7.5) 3.1 NS 0.4 (0.8) 2.7 NS CelXyl (9) 4.9 (11.2) 3.1 NS -1.7 (-4.1) 2.7 NS Insoluble NSP Control 5.8 (11.4) 1.3 5.2 (10.1) 3.8

Phy (1) 12.2 (23.4) 1.9 NS 7.2 (13.9) 5.3 NS

Xyl (2) -0.3 (-0.5) 1.9 NS 5.2 (9.9) 5.3 NS

XylGlu (3) -1.1 (-2.1) 1.9 NS 2.6 (4.9) 5.3 NS

PhyXyl (4) 3.5 (6.8) 1.9 NS 7.0 (13.2) 5.3 NS

PhyXylGlu (5) 3.6 (6.7) 1.9 NS 4.1 (7.4) 5.3 NS

GluXylPec (6) -42.4 (-81.9) 1.9 *** -16.6 (-24.3) 5.3 *

Xylmix (7) 4.3 (8.8) 1.9 NS 6.6 (12.2) 5.3 NS

Cel (8) -11.1 (-20.9) 1.9 *** -1.2 (-2.0) 5.3 NS

CelXyl (9) -6.1 (-11.2) 1.9 *** 16.4 (29.9) 5.3 NS

Soluble NSP

Control 36.5 (16.3) 18.9 4.8 (2.2) 14.3

Phy (1) 14.4 (7.8) 26.8 NS 26.5 (10.9) 20.2 NS Xyl (2) 102.4 (34.2) 26.8 NS 15.4 (6.2) 20.2 NS XylGlu (3) 49.4 (18.7) 26.8 NS -5.7 (-3.1) 20.2 NS PhyXyl (4) 47.6 (17.8) 26.8 NS -6.0 (-3.3) 20.2 NS PhyXylGlu (5) 47.0 (19.9) 26.8 NS -5.6 (-3.8) 20.2 NS GluXylPec (6) 27.3 (8.6) 26.8 NS -0.1 (-0.2) 20.2 NS Xylmix (7) 53.9 (14.4) 26.8 NS 22.3 (9.5) 20.2 NS Cel (8) 75.0 (28.4) 26.8 NS 5.3 (2.9) 20.2 NS CelXyl (9) 50.4 (22.5) 26.8 NS -65.6 (-34.0) 20.2 NS 1 No enzyme addition (Control), Phytase (Phy), Xylanase (Xyl), Xylanase + β-glucanase (XylGlu),

Phytase + Xylanase (PhyXyl), Phytase + Xylanase + β-glucanase (PhyXylGlu), β-glucanase +

Xylanase + Pectinase (GluXylPec), Xylanase mixture (Xylmix), Cellulase (Cel) and Cellulase +

Xylanase (CelXyl). Numbers in brackets indicate enzyme identification.

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2 Least square of means (LSM). Numbers in brackets indicate change in g/kg DM. Control n = 4,

enzymes n = 2. Negative values indicate reduction in concentration from initial to final time-point

and positive results indicate increase.

3 Standard error of means (SEM)

4 P-values relate to differences between the individual enzyme and the Control at a given time of

incubation. Non-significant (NS) P>0.05, *P≤0.05, **P≤0.01, ***P≤0.001.

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Table 6

Percentage change in the concentration of soluble crude protein in rapeseed cake during

fermentation in the initial phase (from 0 to 48 hours) and in steady state (from 168 to 192 hours).

Treatment1 Initial phase Steady state

LSM2 SEM3 P-value4 LSM SEM P-value

Control 5.1 (5.2) 1.3 -9.6 (-9.3) 2.8

Phy (1) 17.5 (17.0) 1.9 ** -10.4 (-11.0) 4.0 NS

Xyl (2) 10.9 (10.8) 1.9 NS -10.5 (-9.9) 4.0 NS

XylGlu (3) 8.6 (8.5) 1.9 NS -9.4 (-8.4) 4.0 NS

PhyXyl (4) 6.7 (7.0) 1.9 NS -7.2 (-7.2) 4.0 NS

PhyXylGlu (5) 9.3 (9.7) 1.9 NS -6.8 (-7.1) 4.0 NS

GluXylPec (6) 14.0 (14.3) 1.9 * 2.9 (2.8) 4.0 NS

Xylmix (7) 8.0 (7.9) 1.9 NS -7.5 (-7.0) 4.0 NS

Cel (8) 2.5 (2.6) 1.9 NS -9.8 (-8.9) 4.0 NS

CelXyl (9) 3.3 (3.3) 1.9 NS -22.2 (-20.5) 4.0 NS 1 No enzyme addition (Control), Phytase (Phy), Xylanase (Xyl), Xylanase + β-glucanase (XylGlu),

Phytase + Xylanase (PhyXyl), Phytase + Xylanase + β-glucanase (PhyXylGlu), β-glucanase +

Xylanase + Pectinase (GluXylPec), Xylanase mixture (Xylmix), Cellulase (Cel) and Cellulase +

Xylanase (CelXyl).

2 Least square of means (LSM). Numbers in brackets indicate change in g/kg DM. Control n = 4,

enzymes n = 2. Negative values indicate reduction in concentration from initial to final time-point

and positive results indicate increase.

3 Standard error of means (SEM)

4 P-values relate the individual enzyme to the Control. No significance (NS) P>0.05, * P≤0.05, **

P≤0.01.

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Table 7

Percentage change in the concentration of total-non-starch polysaccharides (NSP), insoluble-non-

starch polysaccharides and soluble-non-starch polysaccharides in dried distillers grains with

solubles during fermentation in the initial phase (from 0 to 48 hours) and in steady state (from 144

to 168 hours).

Item1 Initial phase Steady state

LSM2 SEM3 P-value4 LSM SEM P-value

Total-NSP Control 3.5 (9.0) 1.4 2.4 (6.2) 1.4 GluXylPec (6) -8.4 (-18.1) 2.0 ** -0.1 (-0.3) 1.9 NS CelXyl (9) -10.4 (-22.4) 2.0 ** 1.7 (3.4) 1.9 NS Xylmix (7) -4.6 (-9.4) 2.0 ** 3.4 (6.8) 1.9 NS Xyl (2) -6.3 (-15.0) 2.0 ** -5.1 (-12.0) 1.9 NS XylGluA (10) -6.5 (-15.0) 2.0 ** -1.8 (-3.9) 1.9 NS XylGluB (11) -7.3 (-16.8) 2.0 ** -1.7 (-3.8) 1.9 NS Insoluble-NSP Control 1.8 (3.5) 2.3 1.6 (3.1) 1.7 GluXylPec (6) -1.7 (-2.9) 3.2 NS 2.7 (4.5) 2.5 NS CelXyl (9) -0.2 (-1.4) 3.2 NS 0.6 (0.9) 2.5 NS Xylmix (7) 0.6 (0.9) 3.2 NS 3.2 (5.5) 2.5 NS Xyl (2) -7.6 (-14.8) 3.2 NS -2.2 (-4.1) 2.5 NS XylGluA (10) -6.3 (-12.0) 3.2 NS -4.1 (-7.4) 2.5 NS XylGluB (11) -9.2 (-17.7) 3.2 NS -3.6 (-6.6) 2.5 NS Soluble-NSP Control 9.4 (5.5) 6.0 4.8 (3.1) 9.3 GluXylPec (6) -31.3 (-15.2) 8.5 * -9.3 (-4.8) 13.2 NS CelXyl (9) -37.1 (-20.9) 8.5 ** 11.0 (2.5) 13.2 NS Xylmix (7) -23.7 (-10.6) 8.5 * 1.9 (1.3) 13.2 NS Xyl (2) -0.1 (-0.2) 8.5 NS -15.8 (-7.9) 13.2 NS XylGluA (10) -7.2 (-3.0) 8.5 NS 8.6 (3.4) 13.2 NS XylGluB (11) 2.1 (0.8) 8.5 NS 7.5 (2.8) 13.2 NS 1 No enzyme addition (Control), β-glucanase + Xylanase + Pectinase (GluXylPec), Cellulase +

Xylanase (CelXyl), Xylanase mixture (Xylmix), Xylanase (Xyl), Xylanase + β-glucanase A

(XylGluA) and Xylanase + β-glucanase B (XylGluB). Numbers in brackets indicate enzyme

identification.

2 Least square of means (LSM). Numbers in brackets indicate change in g/kg DM. Control n = 4,

enzymes n = 2. Negative values indicate reduction in concentration from initial to final time-point

and positive results indicate increase.

3 Standard error of means (SEM)

4 P-values relate to differences between the individual enzyme and the Control at the given time.

Non-Significant (NS) P>0.05, * P≤0.05, ** P≤0.01.

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Table 8

Percentage change in the concentration of soluble crude protein in dried distillers grains with

solubles during fermentation in the initial phase (from 0 to 48 hours) and in steady state (from 144

to 168 hours).

Treatment1 Initial phase Steady state

LSM2 SEM3 P-value4 LSM SEM P-value

Control -0.7 (1.8) 1.3 -2.2 (-1.8) 1.3

GluXylPec (6) -3.8 (-3.1) 1.6 NS -2.7 (0.5) 2.2 NS

CelXyl (9) -8.5 (-6.5) 1.6 * -9.7 (-4.1) 2.8 NS

Xylmix (7) -1.2 (-0.9) 1.6 NS -2.6 (0.6) 2.2 NS

Xyl (2) -3.8 (-2.9) 1.6 NS 0.7 (-1.9) 2.2 NS

XylGluA (10) -7.9 (-6.1) 1.6 * -0.1 (-2.6) 2.2 NS

XylGluB (11) -13.4 (-10.3) 1.6 *** -1.7 (-3.6) 2.2 NS 1 No enzyme addition (Control), β-glucanase + Xylanase + Pectinase (GluXylPec), Cellulase +

Xylanase (CelXyl), Xylanase mixture (Xylmix), Xylanase (Xyl), Xylanase + β-glucanase A

(XylGluA) and Xylanase + β-glucanase B (XylGluB). Numbers in brackets indicate enzyme

identification.

2 Least square of means (LSM). Numbers in brackets indicate change in g/kg DM. Control n = 4,

enzymes n = 2. Negative values indicate reduction in concentration from initial to final time-point

and positive results indicate increase.

3 Standard Error of Means (SEM)

4 P-values relate to differences between the individual enzyme and the Control at the given time.

Non-Significant (NS) P>0.05, * P≤0.05, *** P≤0.001.

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A

B

Fig. 1

Initial phase Steady state

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A

B

C

Fig. 2

3.5

4.0

4.5

5.0

5.5

6.0

6.5

0 h 24 h 48 h 168 h 174 h 180 h 192 h

pH

###

+

++

+#

* * *

0

20

40

60

80

100

120

140

160

180

200

0 h 24 h 48 h 168 h 174 h 180 h 192 h

Lact

ic a

cid

[m

mo

l/k

g]

*

*

+

#

#

0

10

20

30

40

50

60

70

0 h 24 h 48 h 168 h 174 h 180 h 192 h

Ace

tic

aci

d [

mm

ol/

kg

]

Control Phy (1) Xyl (2) XylGlu (3) PhyXyl (4)

PhyXylGlu (5) GluXylPec (6) Xylmix (7) Cel (8) CelXyl (9)

+

# #

Initial phase Steady state

#

#

#

# #

# *

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Fig. 3

0

1

2

3

4

5

6

7

8

9

10

0 h 48 h 168 h 192 h

Ph

yta

te-P

(g

/kg

)

Control Phy (1) Xyl (2) XylGlu (3) PhyXyl (4)

PhyXylGlu (5) GluXylPec (6) Xylmix (7) Cel (8) CelXyl (9)

Initial phase Steady state

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A

B

Fig. 4

4.5

5.0

5.5

6.0

6.5

7.0

7.5

8.0

8.5

9.0

9.5

0 h 24 h 48 h 144 h 150 h 156 h 168 h

Lact

ic a

cid

ba

cte

ria

[lo

g c

fu/g

]

3

4

5

6

7

8

9

0 h 24 h 48 h 144 h 150 h 156 h 168 h

Ye

ast

s [l

og

cfu

/g]

Control GluXylPec (6) CelXyl (9) Xylmix (7) Xyl (2) XylGluA (10) XylGluB (11)

Initial phase Steady state

#

#

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A

B

C

Fig. 5

3.0

3.2

3.4

3.6

3.8

4.0

0 h 24 h 48 h 144 h 150 h 156 h 168 h

pH

*

0

10

20

30

40

50

60

70

80

90

0 h 24 h 48 h 144 h 150 h 156 h 168 h

Lact

ic a

cid

[m

mo

l/k

g]

0

5

10

15

20

25

30

35

40

0 h 24 h 48 h 144 h 150 h 156 h 168 h

Ace

tic

aci

d [

mm

ol/

kg

]

Control GluXylPec (6) CelXyl (9) Xylmix (7) Xyl (2) XylGluA (10) XylGluB (11)

Initial phase Steady state

# +

#

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Supplementary tables

Table 9

Total and insoluble (in brackets) non-starch polysaccharides (g/kg DM) in rapeseed cake during liquid fermentation.

Item1 0 h 48 h 168 h 192 h

Mean SD Mean SD Mean SD Mean SD

Control

Rhamnose 2.3 (1.7) 0.1 (0.1) 2.5 (1.7) 0.1 (0.2) 2.5 (1.6) 0.1 (0.1) 2.3 (1.7) 0.0 (0.1)

Fucose 2.1 (1.8) 0.1 (0.1) 2.2 (1.9) 0.1 (0.0) 2.2 (1.9) 0.1 (0.1) 2.3 (2.0) 0.1 (0.1)

Arabinose 48.9 (36.0) 1.1 (0.5) 50.3 (37.2) 1.3 (0.8) 48.2 (36.2) 1.2 (1.9) 53.1 (37.7) 1.8 (1.4)

Xylose 19.0 (16.7) 0.7 (0.3) 20.3 (17.3) 0.6 (0.2) 19.2 (17.1) 0.8 (0.3) 21.4 (17.7) 0.6 (0.4)

Mannose 9.5 (6.5) 0.6 (0.8) 9.9 (7.5) 1.1 (0.9) 9.9 (7.0) 1.6 (1.1) 10.9 (7.2) 0.9 (0.6)

Gallactose 21.4 (16.3) 0.4 (0.2) 22.7 (16.3) 0.3 (0.4) 22.0 (16.4) 0.4 (0.5) 23.9 (17.5) 0.3 (0.8)

Glucose 78.4 (76.7) 1.2 (0.4) 101.3 (81.6) 3.6 (2.8) 80.0 (79.1) 3.1 (1.5) 86.5 (86.5) 2.9 (1.6)

Uronic acids 58.7 (40.0) 6.7 (1.7) 58.6 (43.3) 2.1 (4.2) 56.7 (36.0) 0.9 (1.4) 52.6 (35.4) 6.4 (0.9)

Total 240.2 (195.6) 5.1 (3.2) 267.8 (207.0) 5.4 (2.4) 240.8 (195.4) 6.4 (3.5) 253.1 (205.5) 5.3 (1.9)

Phy (Enz. 1)

Rhamnose 2.2 (1.4) 0.1 (0.1) 2.6 (1.7) 0.0 (0.2) 2.4 (1.5) 0.0 (0.0) 2.4 (1.7) 0.0 (0.0)

Fucose 2.1 (1.7) 0.0 (0.1) 2.3 (1.9) 0.1 (0.2) 2.2 (1.9) 0.0 (0.0) 2.4 (2.0) 0.0 (0.0)

Arabinose 50.9 (33.5) 0.2 (3.1) 53.6 (34.0) 3.7 (4.5) 48.4 (32.9) 1.6 (2.3) 53.4 (36.1) 2.5 (0.5)

Xylose 19.6 (16.4) 0.6 (0.0) 21.5 (17.1) 0.1 (0.2) 19.2 (16.4) 0.3 (0.5) 21.8 (17.7) 0.0 (0.1)

Mannose 10.2 (7.0) 0.7 (0.0) 11.2 (7.0) 2.4 (0.8) 9.5 (6.3) 0.6 (0.0) 11.1 (7.2) 1.0 (1.2)

Gallactose 22.4 (15.5) 0.2 (0.1) 24.1 (16.5) 0.5 (0.0) 22.2 (15.7) 0.9 (0.5) 24.7 (17.5) 0.1 (0.1)

Glucose 80.9 (79.1) 1.6 (2.6) 103.2 (88.4) 3.6 (6.3) 76.5 (78.5) 0.4 (2.5) 88.3 (87.3) 1.6 (0.1)

Uronic acids 58.7 (37.1) 2.2 (3.7) 59.7 (48.4) 1.9 (1.9) 54.7 (40.9) 0.8 (1.8) 55.7 (38.3) 0.8 (0.1)

Total 247.0 (191.7) 2.0 (4.6) 278.1 (215.0) 1.2 (3.9) 235.0 (193.9) 3.8 (4.0) 259.8 (207.8) 0.7 (1.6)

Xyl (Enz. 2)

Rhamnose 2.3 (1.8) 0.1 (0.1) 2.7 (1.8) 0.0 (0.0) 2.3 (1.5) 0.1 (0.0) 2.0 (1.6) 0.4 (0.0)

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Fucose 2.0 (1.9) 0.1 (0.1) 2.1 (1.8) 0.0 (0.1) 2.0 (1.8) 0.0 (0.1) 2.0 (1.8) 0.3 (0.0)

Arabinose 47.3 (36.0) 0.4 (0.7) 52.0 (36.3) 0.9 (0.5) 47.1 (35.4) 1.3 (0.5) 51.6 (37.5) 4.5 (2.0)

Xylose 18.5 (16.8) 0.2 (0.1) 19.7 (16.1) 1.3 (0.2) 18.3 (16.5) 0.2 (0.2) 20.2 (17.0) 0.7 (0.6)

Mannose 8.7 (7.8) 0.4 (1.9) 10.5 (6.9) 2.8 (1.4) 8.6 (6.3) 0.0 (1.1) 10.6 (7.4) 0.2 (0.3)

Gallactose 20.6 (16.4) 0.1 (0.2) 23.1 (15.4) 2.7 (0.4) 20.9 (15.8) 0.3 (0.3) 23.2 (17.1) 0.2 (0.0)

Glucose 76.3 (79.8) 2.6 (1.9) 97.8 (78.3) 9.9 (2.4) 76.5 (78.3) 1.2 (0.1) 85.3 (85.4) 2.1 (1.1)

Uronic acids 59.0 (40.3) 2.8 (0.9) 60.6 (43.6) 0.0 (0.4) 55.8 (35.5) 1.9 (1.7) 52.7 (33.3) 2.5 (1.6)

Total 234.8 (200.7) 0.1 (2.6) 268.4 (200.2) 17.7 (4.8) 231.6 (191.2) 1.3 (0.4) 247.7 (201.1) 1.8 (2.8)

XylGlu (Enz. 3)

Rhamnose 2.3 (1.6) 0.0 (0.2) 2.6 (1.5) 0.1 (0.2) 2.3 (1.6) 0.2 (0.0) 2.4 (1.7) 0.0 (0.1)

Fucose 2.0 (1.7) 0.1 (0.1) 1.8 (1.5) 0.1 (0.2) 1.8 (1.6) 0.1 (0.0) 1.7 (1.5) 0.1 (0.0)

Arabinose 47.4 (34.7) 1.7 (2.9) 50.3 (34.2) 0.5 (0.7) 49.2 (33.9) 1.8 (0.1) 49.0 (36.3) 0.4 (0.5)

Xylose 18.0 (16.2) 0.3 (0.3) 16.8 (14.6) 0.1 (0.2) 18.7 (15.2) 0.1 (0.2) 17.4 (14.9) 0.2 (0.4)

Mannose 10.0 (7.6) 0.8 (0.1) 9.1 (6.6) 0.7 (1.0) 8.2 (6.6) 0.6 (1.4) 9.9 (7.8) 0.8 (0.2)

Gallactose 20.9 (16.6) 0.5 (0.4) 21.1 (15.1) 0.1 (0.6) 21.4 (15.1) 0.1 (0.2) 22.3 (15.9) 0.6 (0.3)

Glucose 75.0 (80.1) 0.9 (4.2) 90.6 (81.7) 2.5 (8.9) 78.4 (76.8) 3.5 (0.9) 80.2 (79.3) 2.2 (1.2)

Uronic acids 60.2 (38.7) 3.7 (0.7) 60.0 (40.0) 1.6 (0.8) 57.0 (35.4) 1.8 (1.4) 55.7 (33.7) 2.4 (1.1)

Total 235.6 (197.2) 4.6 (1.1) 252.2 (195.1) 5.1 (10.3) 237.0 (186.2) 1.2 (4.0) 238.7 (191.1) 5.3 (1.6)

PhyXyl (Enz. 4)

Rhamnose 2.2 (1.8) 0.2 (0.0) 2.5 (1.6) 0.1 (0.1) 2.3 (1.4) 0.0 (0.1) 2.4 (1.6) 0.0 (0.1)

Fucose 2.0 (1.9) 0.1 (0.0) 1.9 (1.7) 0.0 (0.1) 2.1 (1.8) 0.0 (0.1) 2.2 (1.8) 0.0 (0.2)

Arabinose 47.6 (36.5) 2.2 (0.1) 47.9 (34.3) 2.7 (0.4) 48.8 (31.0) 2.4 (0.9) 53.1 (36.6) 4.0 (3.2)

Xylose 18.7 (16.2) 0.8 (0.0) 18.5 (15.8) 1.7 (0.2) 19.7 (16.0) 1.9 (0.2) 20.4 (16.8) 1.1 (0.8)

Mannose 8.3 (6.8) 0.4 (1.3) 10.1 (7.5) 0.3 (1.2) 10.1 (7.3) 1.9 (1.3) 11.3 (7.8) 1.6 (0.1)

Gallactose 21.5 (16.3) 0.5 (0.4) 21.7 (15.4) 1.7 (0.6) 22.6 (16.3) 1.9 (1.5) 23.8 (17.0) 0.3 (0.3)

Glucose 78.3 (78.2) 1.2 (0.5) 97.5 (81.6) 5.7 (1.3) 84.7 (82.6) 11.1 (6.0) 87.6 (87.5) 0.7 (1.4)

Uronic acids 57.7 (38.5) 1.5 (0.3) 60.8 (45.2) 2.0 (0.6) 57.0 (40.0) 4.1 (3.4) 56.3 (40.3) 2.4 (0.2)

Total 236.3 (196.2) 3.3 (2.1) 261.0 (203.0) 13.5 (2.6) 247.3 (196.4) 19.6 (11.3) 257.1 (209.5) 1.4 (6.3)

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PhyXylGlu (Enz. 5)

Rhamnose 2.1 (1.6) 0.1 (0.1) 2.6 (1.5) 0.1 (0.1) 2.2 (1.5) 0.2 (0.1) 2.4 (1.4) 0.1 (0.2)

Fucose 1.9 (1.7) 0.0 (0.1) 1.8 (1.4) 0.2 (0.1) 1.8 (1.7) 0.2 (0.1) 1.7 (1.4) 0.2 (0.0)

Arabinose 47.8 (34.4) 1.1 (1.1) 51.8 (32.7) 4.3 (0.3) 46.0 (32.1) 0.4 (1.6) 47.5 (31.5) 3.8 (2.6)

Xylose 18.4 (15.8) 0.6 (0.1) 17.9 (13.9) 0.3 (0.2) 17.8 (14.7) 0.1 (0.6) 17.7 (14.3) 0.7 (0.0)

Mannose 10.0 (6.0) 1.0 (0.5) 9.1 (7.2) 0.4 (2.0) 10.6 (6.6) 2.3 (0.3) 10.0 (6.7) 1.4 (0.8)

Gallactose 21.0 (15.6) 0.9 (0.8) 21.9 (14.2) 0.3 (0.4) 21.7 (14.7) 0.6 (0.2) 22.2 (15.0) 0.9 (0.7)

Glucose 75.0 (75.7) 1.5 (1.8) 92.3 (73.2) 5.2 (1.5) 77.0 (72.0) 0.6 (4.4) 78.5 (81.0) 1.0 (2.4)

Uronic acids 55.6 (35.8) 7.4 (2.4) 61.1 (49.2) 2.0 (0.8) 55.6 (40.8) 6.9 (0.9) 56.6 (40.0) 0.6 (1.5)

Total 231.9 (186.6) 2.3 (6.9) 258.5 (193.3) 2.9 (2.4) 232.7 (184.0) 11.3 (4.3) 236.3 (191.4) 8.8 (0.4)

GluXylPec (Enz. 6)

Rhamnose 2.3 (1.7) 0.1 (0.1) 2.9 (0.4) 0.5 (0.2) 2.4 (0.9) 0.2 (0.1) 2.8 (0.7) 0.4 (0.7)

Fucose 2.0 (1.8) 0.1 (0.1) 0.0 (0.3) 0.0 (0.1) 1.5 (1.0) 0.0 (0.2) 0.5 (0.1) 0.0 (0.2)

Arabinose 47.4 (34.7) 3.7 (2.5) 24.7 (15.2) 1.2 (0.2) 35.3 (23.3) 1.9 (1.1) 25.5 (15.8) 0.4 (0.2)

Xylose 17.8 (15.7) 1.3 (0.4) 7.5 (5.1) 0.3 (0.1) 13.6 (10.6) 0.1 (0.4) 10.0 (6.5) 0.6 (0.1)

Mannose 9.6 (7.4) 1.2 (1.9) 7.5 (5.2) 0.2 (0.8) 8.2 (6.4) 1.2 (1.4) 9.1 (5.9) 0.6 (0.2)

Gallactose 20.0 (15.4) 1.1 (0.2) 12.2 (7.9) 0.3 (0.3) 15.7 (11.2) 0.2 (0.4) 13.6 (8.6) 0.6 (0.3)

Glucose 75.9 (78.2) 3.4 (0.2) 59.2 (50.8) 2.1 (0.2) 64.9 (64.1) 2.7 (4.6) 60.8 (60.3) 0.4 (0.8)

Uronic acids 59.8 (38.1) 4.3 (0.6) 47.7 (26.2) 2.2 (1.3) 51.1 (28.2) 1.2 (0.2) 46.0 (23.5) 1.2 (0.4)

Total 234.9 (192.9) 14.9 (1.6) 161.6 (111.1) 1.3 (2.3) 192.7 (145.6) 3.0 (6.1) 168.2 (121.3) 1.1 (1.5)

Xylmix (Enz. 7)

Rhamnose 2.3 (1.7) 0.1 (0.2) 2.5 (1.6) 0.1 (0.0) 2.0 (1.5) 0.4 (0.0) 2.3 (1.6) 0.0 (0.1)

Fucose 2.1 (1.9) 0.2 (0.1) 2.3 (1.9) 0.1 (0.0) 2.1 (1.8) 0.2 (0.1) 2.3 (1.8) 0.1 (0.0)

Arabinose 47.7 (36.7) 1.5 (0.8) 51.4 (36.4) 2.4 (1.0) 44.9 (32.7) 0.5 (1.5) 51.5 (37.0) 1.8 (1.8)

Xylose 19.2 (18.0) 0.3 (0.6) 19.6 (17.4) 0.9 (0.4) 18.0 (16.0) 0.3 (0.4) 21.0 (17.0) 0.3 (0.2)

Mannose 8.4 (6.0) 1.0 (0.7) 9.9 (7.0) 1.4 (1.6) 8.8 (7.4) 0.5 (0.7) 10.6 (8.0) 0.3 (0.8)

Gallactose 20.9 (16.4) 0.8 (0.6) 21.4 (15.9) 0.5 (1.2) 20.6 (15.7) 0.0 (0.6) 23.1 (16.4) 0.0 (0.7)

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Glucose 77.8 (83.7) 4.6 (7.9) 87.5 (87.7) 12.6 (8.2) 78.9 (78.0) 0.0 (0.1) 86.3 (83.2) 1.3 (1.2)

Uronic acids 53.3 (38.9) 0.8 (1.8) 60.2 (44.0) 0.7 (2.2) 53.9 (33.4) 1.0 (0.6) 54.0 (33.7) 0.8 (0.4)

Total 231.7 (203.1) 9.1 (7.0) 254.9 (212.0) 9.7 (12.6) 229.2 (186.5) 2.5 (0.3) 251.0 (198.8) 2.5 (1.8)

Cel (Enz. 8)

Rhamnose 2.3 (1.8) 0.1 (0.1) 2.5 (1.4) 0.2 (0.2) 2.3 (1.4) 0.0 (0.0) 2.4 (1.4) 0.0 (0.1)

Fucose 1.7 (1.6) 0.1 (0.1) 1.3 (0.9) 0.0 (0.1) 1.6 (1.3) 0.0 (0.0) 1.3 (0.9) 0.0 (0.1)

Arabinose 46.5 (35.8) 1.3 (1.5) 50.9 (33.0) 1.7 (0.0) 50.3 (32.8) 0.7 (0.1) 53.2 (31.0) 2.0 (3.2)

Xylose 17.0 (15.4) 0.8 (0.4) 14.3 (11.3) 0.4 (0.1) 16.8 (13.0) 0.7 (0.1) 15.8 (11.5) 0.5 (0.7)

Mannose 8.8 (5.9) 0.3 (0.0) 8.6 (5.6) 1.7 (0.5) 9.0 (6.2) 0.0 (0.2) 9.8 (7.8) 0.8 (0.4)

Gallactose 20.2 (15.3) 0.3 (0.5) 20.1 (12.7) 0.1 (0.2) 20.9 (13.9) 0.3 (0.1) 21.0 (14.0) 0.1 (0.8)

Glucose 72.3 (74.5) 0.6 (2.6) 81.2 (63.3) 2.2 (0.8) 68.6 (68.3) 1.3 (0.5) 69.9 (69.2) 0.8 (2.6)

Uronic acids 57.8 (37.1) 0.7 (2.4) 55.3 (38.4) 1.9 (0.5) 58.7 (36.4) 0.1 (0.4) 55.6 (35.4) 0.8 (1.4)

Total 226.7 (187.4) 1.4 (7.7) 234.3 (166.5) 3.4 (2.3) 228.3 (173.3) 2.9 (0.6) 229.1 (171.3) 1.4 (0.5)

CelXyl (Enz. 9)

Rhamnose 2.3 (1.6) 0.1 (0.1) 2.8 (1.6) 0.0 (0.1) 2.3 (1.6) 0.0 (0.0) 2.4 (2.0) 0.0 (0.5)

Fucose 1.8 (1.6) 0.1 (0.0) 1.6 (1.2) 0.1 (0.1) 1.7 (1.4) 0.0 (0.0) 1.5 (1.3) 0.0 (0.1)

Arabinose 46.5 (34.6) 0.1 (0.4) 51.3 (31.6) 1.2 (1.0) 49.6 (34.2) 1.8 (1.3) 51.6 (41.0) 2.5 (10.1)

Xylose 17.1 (15.0) 0.3 (0.2) 15.1 (11.8) 0.8 (0.3) 17.2 (14.0) 0.8 (0.8) 16.1 (14.2) 0.1 (2.1)

Mannose 9.1 (6.7) 1.2 (0.7) 8.8 (7.0) 0.7 (1.3) 9.1 (6.0) 0.6 (0.1) 12.0 (8.6) 1.3 (2.2)

Gallactose 20.0 (14.7) 0.7 (0.4) 18.6 (12.5) 0.6 (0.5) 20.6 (14.1) 0.1 (0.0) 20.5 (17.4) 0.9 (5.2)

Glucose 73.3 (72.6) 2.2 (2.8) 82.6 (68.8) 0.0 (2.8) 73.1 (72.8) 0.1 (2.6) 72.4 (74.5) 3.4 (3.5)

Uronic acids 59.4 (37.6) 0.1 (2.7) 60.0 (38.6) 1.8 (2.0) 58.9 (34.5) 0.1 (0.2) 52.1 (49.5) 1.5 (23.4)

Total 229.5 (184.3) 4.8 (0.3) 240.8 (173.0) 5.2 (4.0) 232.6 (178.7) 2.0 (5.0) 228.5 (208.6) 3.0 (47.2) 1 No enzyme addition (Control), Phytase (Phy), Xylanase (Xyl), Xylanase + β-glucanase (XylGlu), Phytase + Xylanase (PhyXyl), Phytase

+ Xylanase + β-glucanase (PhyXylGlu), β-glucanase + Xylanase + Pectinase (GluXylPec), Xylanase mixture (Xylmix), Cellulase (Cel) and

Cellulase + Xylanase (CelXyl). Control n = 4, enzymes n = 2.

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Table 10

Total and insoluble (in brackets) non-starch polysaccharides (g/kg DM) in dried distillers grains with soulbles during liquid fermentation.

Item1 0 h 48 h 144 h 168 h

Mean SD Mean SD Mean SD Mean SD

Control

Rhamnose 0.2 (0.1) 0.0 (0.0) 0.3 (0.1) 0.0 (0.0) 0.2 (0.1) 0.0 (0.0) 0.2 (0.1) 0.0 (0.0)

Fucose 0.2 (0.2) 0.0 (0.0) 0.3 (0.2) 0.0 (0.0) 0.2 (0.2) 0.0 (0.0) 0.2 (0.2) 0.0 (0.0)

Arabinose 50.6 (37.7) 4.1 (3.3) 51.1 (38.1) 2.7 (2.0) 50.5 (38.1) 3.2 (2.2) 49.6 (37.0) 2.4 (1.6)

Xylose 87.3 (63.1) 4.7 (4.2) 90.9 (64.5) 2.5 (2.0) 88.9 (63.3) 2.4 (2.5) 90.6 (64.0) 3.5 (2.6)

Mannose 17.7 (7.2) 0.2 (0.1) 18.5 (7.7) 0.7 (0.3) 17.6 (7.0) 0.5 (0.2) 18.8 (7.6) 0.4 (0.9)

Gallactose 9.3 (4.8) 0.8 (0.1) 10.0 (4.6) 0.7 (0.7) 9.1 (4.6) 0.6 (0.4) 10.2 (4.7) 0.7 (0.3)

Glucose 89.1 (81.2) 1.0 (0.4) 92.1 (82.5) 2.5 (1.7) 89.9 (81.1) 0.8 (1.2) 92.9 (83.9) 3.8 (3.2)

Uronic acids 9.2 (6.3) 0.2 (0.1) 9.7 (6.5) 0.3 (0.2) 9.2 (6.1) 0.2 (0.2) 9.4 (6.1) 0.4 (0.4)

Total 263.9 (200.7) 10.4 (7.3) 272.9 (204.2) 3.7 (2.3) 265.7 (200.5) 5.0 (3.3) 271.9 (203.7) 9.6 (7.2)

XylGluPec (Enz. 6)

Rhamnose 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0)

Fucose 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0)

Arabinose 38.8 (31.0) 0.1 (1.6) 33.6 (30.9) 1.2 (0.5) 39.9 (30.8) 0.4 (0.2) 39.5 (31.8) 0.1 (0.7)

Xylose 65.3 (49.8) 0.3 (1.3) 53.4 (46.2) 1.2 (0.3) 66.7 (48.9) 0.5 (0.3) 63.3 (49.7) 0.3 (1.1)

Mannose 16.9 (5.9) 0.1 (0.7) 18.6 (6.0) 0.5 (0.8) 16.9 (5.1) 0.8 (0.2) 17.5 (4.9) 0.2 (0.0)

Gallactose 7.2 (3.1) 0.0 (0.0) 5.2 (3.2) 0.7 (0.5) 5.9 (3.0) 0.0 (0.0) 5.2 (3.0) 0.4 (0.0)

Glucose 80.2 (72.5) 0.2 (0.6) 80.2 (73.1) 2.0 (0.4) 80.8 (73.4) 1.2 (2.4) 84.1 (76.1) 0.9 (0.2)

Uronic acids 7.6 (4.8) 0.0 (0.1) 6.9 (5.0) 0.2 (0.2) 7.2 (5.3) 0.1 (0.0) 7.7 (5.5) 0.7 (0.1)

Total 216.0 (167.2) 0.7 (1.8) 197.9 (164.3) 3.5 (1.0) 217.4 (166.5) 2.1 (3.1) 217.2 (171.0) 0.2 (2.0)

CelXyl (Enz. 9)

Rhamnose 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0)

Fucose 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0)

Arabinose 38.0 (28.8) 0.7 (3.8) 35.1 (31.9) 1.5 (2.1) 36.2 (30.7) 0.6 (1.2) 36.9 (31.3) 1.7 (1.7)

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Xylose 61.2 (49.8) 2.8 (6.2) 46.2 (44.2) 1.2 (1.9) 51.5 (45.7) 0.5 (1.2) 50.7 (44.2) 2.0 (0.7)

Mannose 16.8 (6.4) 0.2 (1.2) 19.7 (6.4) 0.1 (0.2) 17.7 (6.2) 0.3 (0.4) 17.7 (6.0) 0.2 (0.7)

Gallactose 7.8 (3.1) 0.1 (0.5) 8.1 (3.1) 0.3 (0.1) 8.0 (3.0) 0.0 (0.1) 8.4 (3.0) 0.2 (0.1)

Glucose 82.8 (70.3) 1.9 (8.8) 75.7 (71.2) 3.8 (0.3) 78.3 (69.2) 3.0 (0.8) 80.8 (71.0) 0.3 (2.0)

Uronic acids 7.9 (5.0) 0.0 (0.9) 7.4 (5.0) 0.2 (0.3) 7.9 (5.2) 0.0 (0.2) 8.6 (5.3) 0.1 (0.2)

Total 214.5 (163.3) 5.2 (21.3) 192.2 (161.9) 6.0 (3.9) 199.7 (160.0) 4.4 (3.9) 203.1 (160.9) 4.2 (5.3)

Xylmix (Enz. 7)

Rhamnose 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0)

Fucose 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0) 0.0 (0.0)

Arabinose 36.0 (29.0) 0.9 (0.0) 34.8 (30.5) 0.6 (0.2) 35.3 (30.9) 0.3 (0.7) 36.1 (31.9) 1.2 (2.1)

Xylose 53.4 (44.8) 0.8 (1.4) 45.9 (43.3) 0.4 (1.5) 48.6 (44.7) 0.1 (0.4) 49.4 (46.7) 0.1 (4.4)

Mannose 17.4 (7.4) 0.3 (0.1) 19.0 (7.2) 0.2 (0.6) 18.2 (7.4) 0.8 (0.1) 18.8 (7.1) 1.1 (0.0)

Gallactose 8.0 (3.1) 0.2 (0.1) 7.7 (3.1) 0.1 (0.0) 7.9 (3.1) 0.2 (0.0) 8.5 (3.4) 0.1 (0.1)

Glucose 89.9 (77.5) 1.7 (1.6) 87.0 (78.9) 2.0 (0.3) 86.6 (78.6) 3.6 (1.6) 90.6 (81.0) 1.2 (6.0)

Uronic acids 7.4 (5.4) 0.7 (0.3) 8.0 (5.1) 0.3 (0.0) 8.2 (5.4) 0.2 (0.1) 8.1 (5.6) 0.2 (0.2)

Total 212.2 (167.2) 4.7 (2.7) 202.5 (168.2) 3.4 (1.3) 204.7 (170.1) 3.6 (1.3) 211.5 (175.7) 1.1 (12.7)

Xyl (Enz. 2)

Rhamnose 0.3 (0.1) 0.0 (0.0) 0.3 (0.1) 0.0 (0.0) 0.3 (0.1) 0.0 (0.0) 0.3 (0.1) 0.0 (0.0)

Fucose 0.2 (0.2) 0.0 (0.0) 0.2 (0.2) 0.0 (0.0) 0.2 (0.2) 0.0 (0.0) 0.2 (0.2) 0.0 (0.0)

Arabinose 46.2 (38.2) 2.8 (0.4) 41.5 (33.9) 0.4 (1.8) 46.8 (38.3) 0.4 (0.8) 40.6 (35.7) 1.6 (0.6)

Xylose 68.5 (57.3) 2.3 (1.7) 55.7 (48.1) 1.6 (2.4) 65.0 (53.5) 0.1 (0.4) 54.8 (49.9) 0.9 (1.5)

Mannose 17.0 (7.2) 0.1 (0.0) 18.0 (7.0) 0.8 (0.0) 17.4 (6.9) 0.3 (0.2) 18.7 (6.8) 0.3 (0.3)

Gallactose 9.2 (4.5) 0.4 (0.7) 8.8 (3.6) 0.1 (0.2) 8.5 (4.0) 0.6 (0.0) 8.6 (3.9) 1.0 (0.1)

Glucose 88.9 (79.6) 1.1 (3.8) 90.5 (79.4) 0.2 (0.2) 90.5 (78.7) 1.9 (0.3) 93.1 (81.3) 1.1 (1.0)

Uronic acids 9.0 (6.1) 0.2 (0.4) 9.3 (6.2) 0.2 (0.1) 8.3 (5.8) 0.0 (0.2) 8.6 (5.6) 0.6 (0.1)

Total 239.4 (193.3) 4.2 (7.0) 224.3 (178.5) 1.2 (4.4) 237.0 (187.7) 3.3 (1.4) 225.0 (183.5) 1.4 (2.7)

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XylGluA (Enz. 10)

Rhamnose 0.3 (0.1) 0.0 (0.0) 0.3 (0.1) 0.0 (0.0) 0.3 (0.1) 0.0 (0.0) 0.3 (0.1) 0.0 (0.0)

Fucose 0.2 (0.2) 0.0 (0.0) 0.3 (0.2) 0.0 (0.0) 0.2 (0.2) 0.0 (0.0) 0.2 (0.2) 0.0 (0.0)

Arabinose 44.8 (38.0) 2.5 (0.0) 42.5 (36.6) 1.1 (0.1) 41.0 (34.2) 0.9 (0.4) 41.2 (33.6) 1.1 (1.6)

Xylose 66.0 (55.3) 2.3 (0.1) 54.1 (48.6) 1.4 (0.4) 58.8 (50.7) 1.2 (0.2) 54.6 (46.7) 1.2 (1.7)

Mannose 17.1 (7.4) 0.0 (0.3) 17.8 (6.1) 0.3 (0.5) 17.4 (6.2) 0.5 (0.2) 18.1 (5.8) 0.5 (0.2)

Gallactose 8.9 (4.3) 0.0 (0.4) 9.1 (3.7) 0.1 (0.1) 9.2 (4.2) 0.5 (0.7) 8.7 (3.7) 0.2 (0.3)

Glucose 84.9 (78.8) 1.1 (0.4) 83.5 (76.6) 0.3 (0.6) 85.2 (79.5) 0.5 (0.9) 84.8 (77.2) 1.5 (0.5)

Uronic acids 9.4 (5.9) 0.1 (0.0) 9.0 (6.0) 0.3 (0.1) 8.2 (5.3) 0.2 (0.4) 8.5 (5.6) 0.2 (0.1)

Total 231.6 (189.9) 3.7 (1.0) 216.6 (178.0) 3.0 (1.0) 220.2 (180.4) 1.9 (2.7) 216.3 (173.0) 0.2 (3.3)

XylGluB (Enz. 11)

Rhamnose 0.3 (0.1) 0.0 (0.0) 0.3 (0.1) 0.0 (0.0) 0.2 (0.1) 0.0 (0.0) 0.3 (0.1) 0.0 (0.0)

Fucose 0.2 (0.2) 0.0 (0.0) 0.3 (0.2) 0.0 (0.0) 0.2 (0.2) 0.0 (0.0) 0.3 (0.2) 0.1 (0.0)

Arabinose 47.2 (39.9) 1.1 (1.7) 42.8 (37.3) 0.1 (0.0) 40.7 (35.9) 0.7 (0.4) 40.2 (35.1) 0.4 (0.1)

Xylose 66.1 (57.6) 0.9 (2.7) 53.9 (47.6) 0.3 (0.8) 58.8 (51.2) 0.6 (1.1) 53.9 (47.4) 1.4 (0.9)

Mannose 17.3 (7.1) 0.0 (0.1) 17.2 (5.7) 0.1 (0.3) 17.1 (6.4) 0.1 (0.1) 18.5 (6.3) 0.4 (0.3)

Gallactose 8.4 (3.7) 0.0 (0.0) 8.6 (3.7) 0.8 (0.3) 10.3 (4.3) 0.2 (0.9) 9.1 (3.5) 0.6 (0.5)

Glucose 81.6 (76.3) 1.7 (0.6) 80.7 (73.0) 2.9 (0.9) 83.8 (78.4) 0.7 (0.5) 84.7 (77.1) 1.9 (0.7)

Uronic acids 8.9 (6.2) 0.1 (0.1) 9.3 (5.9) 0.3 (0.3) 8.4 (5.6) 0.0 (0.1) 8.7 (5.6) 0.1 (0.3)

Total 230.0 (191.2) 3.7 (5.2) 213.1 (173.5) 3.5 (0.5) 219.5 (182.1) 0.5 (0.3) 215.7 (175.5) 3.6 (2.6) 1 No enzyme addition (Control), β-glucanase + Xylanase + Pectinase (GluXylPec), Cellulase + Xylanase (CelXyl), Xylanase mixture

(Xylmix), Xylanase (Xyl), Xylanase + β-glucanase A (XylGluA) and Xylanase + β-glucanase B (XylGluB). Control n = 4, enzymes n = 2.

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7. Manuscript II

Fermentation and addition of enzymes to a diet based on locally grown crops

improve digestibility of non-starch polysaccharides, CP and P in pigs

Grethe Venås Jakobsen, Bent Borg Jensen, Knud Erik Bach Knudsen and Nuria Canibe

Submitted to Journal of Animal Science

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Running head: Fermented feed with enzyme addition for pigs

Fermentation and addition of enzymes to a diet based on locally grown crops improve

digestibility of non-starch polysaccharides, CP and P in pigs

Grethe Venås Jakobsen, Bent Borg Jensen, Knud Erik Bach Knudsen and Nuria Canibe#

University of Aarhus, Faculty of Science and Technology, Department of Animal Science, Blichers

Allé 20, P.O. Box 50, DK-8830 Tjele, Denmark.

#Corresponding author.

University of Aarhus,

Faculty of Science and Technology, Dept. of Animal Science,

Blichers Allé 20, P.O. BOX 50,

DK-8830 Tjele, Denmark

Tel. : +45 87 15 80 58

Fax: +45 87 15 42 49

E-mail address: [email protected]

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ABSTRACT: Fluctuating prices on cereals have led to an interest in alternative ingredients for feed.

The aim of this study was to evaluate the effect of fermentation and addition of non-starch

polysaccharide (NSP)-degrading enzymes on ileal- and total tract digestibility of nutrients of a diet

based on locally grown crops (high-moisture maize, rapeseed cake and peas). Four diets were

included: non-fermented liquid standard grower diet (Control); and three experimental diets based

on high-moisture maize, rapeseed cake and peas: non-fermented liquid feed (n-FLF), fermented

liquid feed (FLF), and fermented liquid feed supplemented with an enzyme mixture of β-glucanase

+ xylanase + pectinase (FLF+enz). The diets were fed to eight ileal cannulated barrows in a double

Latin square design giving eight replicates per diet. Ileal digesta and feces were collected after an

adaption period of 10 days. Results showed microbiologically good quality fermented diets. This

included higher counts of lactic acid bacteria (LAB) (P < 0.001), higher concentration of lactic acid

(P < 0.001), reduced pH (P < 0.001) and a tendency to lower counts of Enterobacteriaceae (P ≤

0.057) in FLF and FLF+enz compared to n-FLF. Numerically reduced levels of Enterobacteriaceae

were observed in ileum (5.1-5.4 log cfu/g in FLF and FLF+enz vs. 6.3 log cfu/g in n-FLF) and in

feces (5.1-5.2 log cfu/g in FLF and FLF+enz vs. 6.3 log cfu/g in n-FLF), indicating a beneficial

effect of fermentation on gastrointestinal health. Apparent total tract digestibility (ATTD) of CP

increased due to fermentation (73.2% in FLF vs. 69.0% in n-FLF, P = 0.03), and digestibility of P

and non-starch polysaccharides (NSP) showed a tendency towards an increase. Addition of the

enzyme mixture resulted in a pronounced reduction of NSP in the feed compared to FLF (127.6

g/kg total-NSP in FLF+enz vs. 159.1 g/kg total-NSP in FLF, P < 0.001), which also led to increased

apparent ileal digestibility (AID) of total- and insoluble-NSP (total-NSP, 31.1% in FLF+enz vs.

13.6% in FLF, P = 0.002) and numerical increase in ATTD. In conclusion, fermentation increased

the digestibility of crude protein and P. Addition of NSP-degrading enzymes resulted in a

pronounced reduction in the concentration of NSP in the feed, along with increased apparent ileal

digestibility of NSP, with the same tendency for apparent total tract digestibility.

Key words: enzymes, fermented liquid feed, digestibility, non-starch polysaccharides, pigs

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INTRODUCTION

The past decade, pig producers have experienced fluctuating feed prices. Therefore, increased use

of locally grown ingredients can be of interest as an alternative that meets nutritional requirements

while reducing feed costs. High moisture maize (HMM) is an alternative to dry grain aiming at

reducing costs. The feeding value of HMM for pigs has been reported similar to - or better than that

of dried maize (Engelke et al., 1984; Vilariño et al., 2009). Peas can be included in relatively large

amounts in pig diets as a combined energy and protein source, without diminishing performance

(Stein et al., 2006). Rapeseed cake (RSC) is a high quality protein source (Mansour et al., 1993;

Woyengo et al., 2010), but due to high levels of non-starch polysaccharides (NSP) and lignin

particularly in the hull fraction (Gdala et al., 1997; Bach Knudsen, 1997), the energy value and

protein digestibility are reduced (McDonnell et al., 2010).

Fermented liquid feeding (FLF) for pigs is an acknowledged feeding strategy due to its beneficial

impact on the gastrointestinal health, and its potential for increasing nutrient digestibility (Brooks et

al., 2001; Missotten et al., 2010; Canibe and Jensen, 2012). The addition of exogenous enzymes to

FLF offers the possibility of a further increase in nutritional value, as seen with phytase (Brooks et

al., 2001; Carlson and Poulsen, 2003; Blaabjerg et al., 2010). Fermentation alone or combined with

enzyme addition has shown to reduce the amount of NSP in the feed, possibly leading to increased

fermentability of carbohydrates (Christensen et al., 2007; Jørgensen et al., 2010; Sholly et al., 2011;

l'Anson et al., 2013).

The aim of the current study was to evaluate the effect of fermentation and addition of NSP-

degrading enzymes on the digestibility of NSP, CP, and P of a diet containing high levels of locally

grown ingredients. Further, we compared this experimental diet to a Danish standard grower diet for

pigs.

MATERIALS AND METHODS

Diets

Four dietary treatments were designed based on two diets. A non-fermented liquid control diet

(Control) based on wheat, barley, and soybean meal (Table 1) was formulated. The feed was mixed

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with water in the ratio 1:2.5 (w/w) immediately before feeding. A second diet based on high-

moisture maize, RSC and peas was formulated and three dietary treatments designed: non-

fermented liquid diet (n-FLF) to which water was added (1:2.5 w/w) immediately before feeding;

fermented liquid diet (FLF); and fermented liquid diet + an enzyme mixture with β-glucanase,

xylanase, and pectinase activity (FLF+enz). Chromium oxide was used as digestibility marker. In

order to ensure a stable product during the entire study, high-moisture maize was stored at -18°C in

small portions, thawed before its use and added simultaneously with water to prepare the diets. The

FLF and FLF+enz were prepared in tanks with a total volume of 200 L as follows: feed and water

were mixed in the ratio 1:2.5 w/w; the mixture was agitated during 2 min every 30 min; and once

daily, 50% of the mixture was removed and replaced with an equal amount of fresh feed and water

with a temperature of approximately 20°C (backslopping). The FLF+enz diet was added the

experimental enzyme mixture GluXylPec (13.5 g enzyme/kg DM, equivalent to 1080 U β-

glucanase/kg DM, [xylanase and pectinase activities not declared in the product]) supplied by

Novozymes A/S, Bagsvaerd, Denmark, at every backslopping. In order to reach steady state in the

FLF, the described procedure was followed during six days before the fermented diets were offered

to the animals. Feed samples were taken twice per feeding period and analyzed for pH, microbial

enumerations, and concentration of organic acids, ethanol, and chemical compounds (the latter one

sample per period). The feed mixture had a temperature of 19.6 ± 0.9°C. The tanks were cleaned

twice a week during the whole study.

Animals and feeding

The animal experiment was conducted according to the license obtained by the Danish Animal

Experiments Inspectorate, Ministry of Food, Agriculture and Fisheries, Danish Veterinary and Food

Administration.

Eight crossbred [(Danish Landrace - Yorkshire) x Duroc] barrows with an initial body weight of

37.1 ± 1.4 kg were housed individually in pens (1.5 x 3.40 m) and fed the control diet mixed with

water immediately before feeding in the ratio 1:2.5 (w/w) for seven days. The animals were then

surgically fitted with a simple T-shaped cannula at the distal ileum. After a recovery period of eight

days, pigs were assigned to one of four diets according to a double-Latin square design. Each

experimental period lasted for 14 days, consisting of 10 days adaptation to the diets and four days of

sample collection. The animals were fed twice a day, at 8.00 and 14.00, (8.00 and 16.00 the days of

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ileal and fecal sampling) with a total amount of feed corresponding to 3.5 % of their body weight

(divided in two equal portions). One hour after each meal, leftover feed (if any) was removed. The

barrows were weighed once a week to adjust their feed rations. On days 11 and 12, fecal samples

were collected from 8.00 to 16.00. Feces were collected in plastic bags attached to the back of the

pigs, and the bags were changed three to four times per day. Samples were pooled for both days per

pig and period. On day 13 and 14, ileal digesta was collected; on day 13, from 8.00 to 10.00 and

again from 12.00 to 14.00, and on day 14, from 10.00 to 12.00 and again from 14.00 to 16.00.

Samples were collected by attaching tube-shaped plastic bags to the cannula. Bags were

continuously emptied when approximately half full. At collection, ileal samples were divided into

two fractions: one for analysis to be conducted on dry material and one for analyses to be conducted

on fresh material, and immediately stored at -20°C. Hence, at the end of the study, there were two

ileal pooled subsamples per pig and period. One subsample was freeze-dried and grinded to a

particle size of 1 mm for DM, Cr2O3 (digestibility marker), N, P, and NSP (grinded to 0.5 mm)

analysis. The other subsample was analyzed for the concentration of organic acids and indolic

compounds. Additionally, subsamples of fecal samples from the first bag emptied on day 11, and

ileal samples from the first bag emptied in the collection period from 12.00 to 14.00 on day 13 were

taken and microbial enumeration immediately conducted.

Analytical methods

Chemical analyses. Dry matter content was determined by freeze drying the samples. When

chemical analyses were later performed and to express results in DM percentage, samples were

further dried to constant weight at 60°C. The concentration of short chain fatty acids, lactic acid,

and succinic acid was determined by capillary gas chromatography (Canibe et al., 2007a). Biogenic

amines were determined by reverse phase HPLC chromatography, as described in Canibe et al.

(2007a). Ethanol was determined according to Beutler (1984). Non-starch polysaccharides were

analyzed according to an enzymatic-chemical modification of the Uppsala and Englyst et al. (1982)

procedures, as described by Bach Knudsen (1997). In order to calculate the concentration of low

molecular weight non-cellulosic polysaccharides (LMW-NCP) in the feed samples, NSP content of

these samples was also determined with direct sulphuric acid hydrolysis, without removal of starch

and low molecular weight carbohydrates. The dietary content of LMW-NCP was calculated by

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subtracting T-NSP values from ‘direct hydrolysis T-NSP’ values (Kasprzak et al., 2012). Feed

samples were analyzed for starch as described by Bach Knudsen (1997). The concentration of

indolic compounds in feces was determined by HPLC, according to Knarreborg et al. (2002).

Phytate was measured using the Megazyme Phytic acid kit (K-Phyt, Megazyme, Bray, Ireland). The

Megazyme protocol (Megazyme, 2012) was modified by using 0.5 g sample and by centrifuging

samples at 20,000 x g. Total N was determined by a generic combustion method according to the

AOAC 992.23 official method for CP in cereal grains and oilseeds (AOAC, 1992) and total P was

determined using the ICP-EOS method described in Commission Regulation (EC) No 152/2009

(EC, 2009). The inert marker chromic oxide was measured as described by Schürch et al. (1950).

Total anaerobes, lactic acid bacteria, Enterobacteriaceae and yeasts in the diets, ileal, and fecal

samples were enumerated as described by Canibe et al. (2005). Clostridium perfringens were

enumerated using the pour-plate technique on tryptose sulfite agar (Merck 11972) supplemented

with cycloserine (Oxoid SR088E) following anaerobic incubation at ~20°C for 3 d (diets) or 37°C

for 3 d (ileal and fecal samples).

Calculations and statistical analysis

Logarithmic transformation was performed on microbial counts before statistical analysis. The

detection level for microbial enumerations was 3.0 log cfu/g (2.0 log cfu/g for C. perfringens).

Apparent ileal- (AID) and total tract digestibility (ATTD) was calculated according to the following

formula:

Apparentdigestibility = �1 − �Nutrient������/���� ∗ �Cr#O%�&'()�Nutrient�&'() ∗ �Cr#O%������/���� * ∗ 100

In the calculation of AID, data from ileum were used, while for ATTD data from feces were

used. For calculating total-NSP, insoluble-NSP and soluble-NSP digestibility of the FLF+enz diet,

the NSP content measured in the FLF diet was applied. This was done in order to account for the

effect of the enzyme mixture exerted both in the feed and within the animal. Hence the values used

in the digestibility calculations for both dietary treatments were: total-NSP = 159.1 g/kg, insoluble-

NSP = 119.3 g/kg, and soluble-NSP = 39.8 g/kg (Table 2). Although the impact of enzyme addition

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is then a sum of the action of the enzyme mixture during fermentation in the feed and within the GI-

tract, we use here the term digestibility. For further explanations, see discussion section.

Data was statistically analyzed using SAS for Windows version 9.3 (SAS Inst. Inc., Cary, NC).

The effect of dietary treatment on feed composition was analyzed using the GLM procedure with

diet as the main factor. The impact of dietary treatment on chemical composition and

microbiological enumerations of ileal and fecal samples, along with ileal- and fecal digestibility was

analyzed using the mixed procedure, with diet, period and their interaction as fixed effects. The

repeated statement was used to account for the measurements made on the same animal. Compound

symmetry was assumed as covariance structure. Multiple comparisons were adjusted by the Tukey-

Kramer method (Littell et al., 2002), and effects were considered significant at an alpha P < 0.05.

RESULTS

Practically all feed offered was consumed by all animals.

Diet composition

The number of LAB was greater in n-FLF compared to the Control (P < 0.001) (Table 2).

Further, the process of fermentation resulted in a significant increase of LAB (P < 0.001), to a level

of 9.5 log cfu/g. The amount of Enterobacteriaceae was 4.4 log cfu/g in the Control diet and 3.8 log

cfu/g in n-FLF, with a further decrease (down to the level of detection [3.0 log cfu/g]) observed in

the two fermented diets. The FLF+enz had the highest yeast count and ethanol concentration (P <

0.001). The pH was lowered by fermentation and further by enzyme addition (P < 0.001). The

reduced pH correlated with elevated levels of lactic acid (20.6, 214.1 and 272.3 mmol/kg for n-FLF,

FLF and FLF+enz, respectively), and acetic acid (6.8, 25.5, and 56.4 mmol/kg for n-FLF, FLF and

FLF+enz, respectively). The concentration of the biogenic amines putrescine, cadaverine, and

tyramine were significantly increased in FLF compared to n-FLF (P < 0.001), while a numerical

reduction was observed for all three biogenic amines by addition of the enzymes to the FLF. The

content of total-NSP was significantly lower in FLF+enz (127.6 g/kg DM) compared to FLF (159.1

g/kg DM [P < 0.001]); the decrease being primarily a result of a reduction of arabinose, glucose,

xylose, and galactose residual levels. The content of insoluble- and soluble-NSP was also lower in

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the FLF+enz diet than in the FLF diet (P ≤ 0.002). The amount of starch was slightly reduced in

FLF+enz compared to FLF (P = 0.02), while the concentration of LMW-NCP was close to zero in

all three experimental diets (data not shown), when disregarding glucose. This sugar is in the

analytical method affected by glucose originating from starch and LMW-NCP. The amount of CP

was higher in the FLF+enz compared to n-FLF (P = 0.02). P was at a level of 4.8 g/kg in n-FLF, of

which 2.1 g/kg was in the form of phytate-P. The fermentation process reduced the amount of

phytate-P by approx. 50-60% in FLF and FLF+enz compared to n-FLF (P ≤ 0.001).

Microbial population and organic acids in ileum

Microbial enumerations of Enterobacteriaceae in ileal samples revealed a tendency towards

lower levels in pigs fed the two fermented diets compared to those fed n-FLF (Pdiet=0.06) (Table 3).

The difference was pronounced, (from 6.3 log cfu/g in the n-FLF fed pigs to 5.1 log cfu/g in the

FLF fed pigs and 5.4 log cfu/g in the FLF+enz fed pigs) but not significant due to variation of the

data. The number of LAB in ileum was lowest in the FLF and FLF+enz groups (FLF significantly

lower than n-FLF, P = 0.043). The two fermented diets resulted in significantly lower acetic acid

levels in ileum (P ≤ 0.03) and greater concentration of lactic acid (FLF+enz significantly [P = 0.04])

than the Control group.

Microbial population, organic acids and indolic compounds in feces

As in the ileal samples, the counts of Enterobacteriaceae in fecal samples tended to be lower (10-

fold reduction) in the pigs fed the fermented diets (FLF and FLF+enz) compared to the pigs fed n-

FLF (Pdiet = 0.08) (Table 4). The number of LAB in fecal samples was lower in pigs fed the FLF

and FLF+enz diets (P = 0.01 and P = 0.004, respectively) compared to the n-FLF diet. Yeasts were

found in levels between 3.0 and 4.7 log cfu/g, with FLF+enz having the highest number. As in the

ileal samples, C. perfringens counts were relatively low in all groups. Dietary treatment did not

show any effect on the levels of organic acids in feces. An effect of the interaction between diet and

period was observed for most of the organic acids, indicating variation between pigs. No systematic

deviation was observed when examining the four periods in detail.

The three experimental dietary groups showed a numerically lower concentration of skatole in

feces compared to the pigs fed the Control diet. No effect of fermentation or addition of enzymes

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was found on skatole concentrations in feces. The concentration of indole was lower in feces from

pigs fed the n-FLF and FLF diets than in feces from pigs fed the Control diet. No effect of

fermentation was detected on fecal indole, while addition of the enzyme mixture to the fermentation

process increased the concentration of indole in feces.

Digestibility

The AID of CP was numerically lower in the three groups fed the experimental diets compared to

those fed the Control diet (Table 5). The ileal digestibility of P was greater in the FLF group

compared to the n-FLF group (P = 0.03), with the same tendency observed for the FLF+enz group

(p = 0.11). The ATTD of DM was higher for the FLF+enz group compared to the n-FLF groups (P

= 0.004). However, a tendency to interaction between diet and period was detected. This could

partially be explained by a low value in the FLF group in period 3, but the overall picture was that

n-FLF had lower DM digestibility compared to FLF+enz, and also compared to the Control and

FLF. The CP digestibility in feces was at a level of 74.3 % for the Control diet, and this was

decreased to 69.0 % in the n-FLF diet (P = 0.006). The fermentation process was, however, able to

elevate the digestibility to a level equal to that measured in the Control. There was a tendency

towards an increased ATTD of P in FLF and FLF+enz (P ≤ 0.07), with values of 46.1 % and 46.9

%, respectively, compared to that in n-FLF, being 31.8 %.

The AID of total-NSP (P = 0.002) and insoluble-NSP (P = 0.003) was higher in pigs fed

FLF+enz compared to those fed FLF, while a large numerical increase was measured for soluble-

NSP (PFLF vs. FLF+enz = 0.12). The monomeric residues arabinose, glucose, xylose, galactose and

uronic acids showed significantly increased AID in pigs fed FLF+enz compared to n-FLF (P ≤

0.03) and with a tendency compared to FLF (P ≤ 0.1) (data not shown).

A significant effect of the interaction between diet and period was observed for ATTD of total-

NSP and a tendency for insoluble-NSP. Evaluating the data, this could be ascribed to a low level in

the pigs fed FLF in period 3 and a low level in pigs fed FLF+enz in period 4. However, the overall

tendency was that the digestibility was higher for the experimental diets than for the Control diet, an

increase was obtained by fermenting the experimental diet, and further increase was reached by

adding the enzyme mixture to FLF, though only numerically. The ATTD of soluble-NSP was very

high, and showed no clear differences between treatments.

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DISCUSSION

Diet composition

The two fermented experimental diets (FLF and FLF+enz) showed general characteristics of

microbiologically good quality fermented feed similar to that obtained during fermentation of a

standard grower diet (Mikkelsen and Jensen, 2000; Van Winsen et al., 2001; Canibe and Jensen,

2003). That is, increased levels of LAB, compared to n-FLF, resulting in increased production of

lactic acid and acetic acid; and a corresponding reduction in pH resulting in reduced growth of

Enterobacteriaceae. The high number of yeasts as a result of enzyme addition indicated that these

microorganisms thrive on the substrate produced during enzymatic hydrolysis of the diet.

A reported disadvantage related to fermentation of liquid feed is the decarboxylation of amino

acids, especially free amino acids, to biogenic amines (Pedersen, 2001; Niven et al., 2006; Canibe et

al., 2007b; Canibe and Jensen, 2010). Besides reducing the concentration of amino acids in the diet,

high levels of biogenic amines have also been related to toxic effects and reduced palatability of the

feed (Brooks et al., 2001). In the current study, a markedly increase in the biogenic amines

putrescine (decarboxylation of methionine), cadaverine (decarboxylation of lysine) and tyramine

(decarboxylation of tyrosine) were also observed in FLF compared to n-FLF. An interesting result,

although not significant, and in spite of large variation between samples, was that the FLF+enz diet

showed numerically lower levels of both putrescine, cadaverine and tyramine compared to the FLF

diet. The reason for this result is not evident, but it can be speculated that the increased amount of

available carbohydrates, along with increased microbial activity in this treatment led to an increased

incorporation of amino acids in the microbial biomass, hereby resulting in less amino acids

available for decarboxylation.

Although a reduction in the concentration of NSP has been reported as a result of fermenting

wheat, wheat millrun, barley or compound feed by some authors (Christensen et al., 2007;

Jørgensen et al., 2010; Sholly et al., 2011; l'Anson et al., 2014), in the current study, no effect of

fermentation on NSP concentration was measured. Differences in dietary composition with its

corresponding differences in fermentability of ingredients among the studies could explain these

results. Several measured parameters showed an effect of enzyme addition in the diet, though.

Significantly lower levels of total-, soluble-, and insoluble-NSP and a small reduction in starch were

measured in FLF+enz compared to FLF. The reduction in starch could be a result of the breakdown

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of NSP releasing starch from the endosperm, which increases the accessibility to endogenous

amylase (Malathi and Devegowda, 2001). The reduction in carbohydrate polymers most likely

results in increased amounts of substrate available for microbial fermentation. This was supported

by the higher levels of ethanol, acetic- and lactic acid in the FLF+enz diet compared to the FLF

diet, indicating increased microbial activity. Similar in vivo results have been published, showing

increased microbial activity (LAB counts and lactic acid concentration in ileum) along with

increased NSP digestibility upon addition of carbohydrases to a diet for pigs (Kiarie et al., 2007).

An approximate calculation of the amount of starch and NSP reduced (assuming an insignificant

content of low molecular weight sugars in the FLF (Canibe and Jensen, 2003)) due to enzyme

addition, i.e., difference between FLF and FLF+enz, and the amount of microbial metabolites

produced, shows that the disappearance of carbohydrates corresponds well with the amount of lactic

acid, acetic acid and ethanol produced (approximately 34 g/kg DM). This agrees with the low level

of LMW-NCP measured in the FLF+enz, supporting that the carbohydrates degraded by enzyme

addition were mostly converted to organic acids and ethanol in the feed before being offered to the

animals. When doing the same calculations on the difference between n-FLF and FLF, we were

however only able to account for approximately 55 % of the produced microbial metabolites by

reduction of dietary carbohydrates (assumed to be the LMW-NCP). An explanation for this

inconsistency was not found.

Main cell wall polysaccharides in protein sources, like those used in the current study, are pectin,

cellulose, and xylan (Bach Knudsen, 1997; Ghosh et al., 2004; Meng et al., 2005; Egües et al.,

2010; Pustjens et al., 2013). In comparison, the main cell wall polysaccharides in cereals, like

wheat, barley and maize, are arabinoxylan, β-glucan and cellulose (Souffrant, 2001; Prandini et al.,

2014; Bach Knudsen, 2014). The most affected NSP monomers by the enzyme mixture GluXylPec

were arabinose, glucose, xylose, and galactose (Table 2). From the composition of the diet, it could

be hypothesized that the reduction in these monomers indicated a degradation of xylan and

arabinoxylan by xylanase, while β-glucanase would be expected to degrade β-glucan and to some

extent cellulose. Galactose and arabinose are typical components of pectic structures which

indicated the effect of pectinase in the enzyme mixture (Bach Knudsen, 2014).

P in plants is to a large extent stored as phytate-P, a saturated cyclic acid with inositol as the basic

structure. The release of P from the phytate molecule by the enzyme phytase is a requisite to make

it available for absorption in the GI-tract. Since pigs are unable to generate sufficient endogenous

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phytase activity (Selle and Ravindran, 2008), a high dietary content of phytate-P imposes a

problem. Furthermore, phytate-P binds minerals leaving them unavailable for absorption in the

gastrointestinal (GI)-tract (Ekholm et al., 2003). It has previously been reported that the process of

fermenting feed for pigs can decrease the amount of phytate-P by activating the endogenous

phytases in the plant ingredients (Larsen et al., 1999; Carlson and Poulsen, 2003; Blaabjerg et al.,

2010). However, most of the ingredients used in the current diets have a low concentration of

endogenous phytase (Carlson and Poulsen, 2003), which is why exogenous microbial phytase was

added to all diets. The data showed a reduction of approximately 50 - 60 % of the phytate-P in the

two fermented diets (FLF and FLF+enz) compared to the n-FLF diet. This is in line with Blaabjerg

et al., (2010) who showed a pronounced degradation of phytate-P during fermentation when phytase

was added to a diet based on wheat, barley, and soybean meal. Blaabjerg et al. (2010) however

showed a complete reduction of phytate-P. This difference might be explained by the higher amount

of phytase added (750 FTU/kg in Blaabjerg et al. (2010) vs. 500 FTU/kg in the current study),

and/or by the difference in diet composition between the two experiments. Indeed, the data of

Brooks et al. (1996) and Blaabjerg et al. (2010a) indicate that phytate from rapeseed is more

resistant than phytate found in wheat, barley and soybean.

Microbial counts and metabolites in ileum and feces

Lower numbers of Enterobacteriaceae in ileal and fecal samples were measured in pigs fed the

two fermented experimental diets. This indicated a beneficial effect of the fermentation process on

gastrointestinal health of the animals, similar to previous results when standard diets were

fermented (Mikkelsen and Jensen, 2000; Van Winsen et al., 2001; Canibe and Jensen, 2003). The

main factors responsible for reducing the Enterobacteriaceae population are proposed to be the

high levels of lactic acid and the concomitant reduced pH in the stomach of pigs fed FLF (van

Winsen et al., 2001; Canibe and Jensen, 2003).

Lower numbers of LAB were detected both in ileum and feces of pigs fed fermented diets.

Similar results have previously been observed by Canibe and Jensen (2003) and Højberg et al.

(2003), who suggested a lower amount of substrate available for microbial fermentation in the GI-

tract of pigs fed fermented diets, due to fermentation already taking place in the feed, as being the

reason for these results. The same can be hypothesized in the present study.

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Indolic compounds. The indolic compound skatole, produced by microbial fermentation of

tryptophan in the large intestine, has been identified as the main contributor to boar taint (Jensen et

al., 2014). Previous studies have shown that diet composition, especially the availability of protein

and carbohydrates in the large intestine, are important for the skatole production; protein is the

source of tryptophan, whereas carbohydrates provide energy for bacterial growth. Accordingly, it

has been shown that a diet containing proteins with low AID stimulates skatole production in the

hindgut (Jensen et al., 1995), while diets with high concentrations of carbohydrates with low AID

result in reduced skatole production (Knarreborg et al., 2002). Although the experimental diet in the

present study had a low AID of CP compared to the Control diet, no effect on skatole

concentrations in fecal samples was found. An explanation for that could be the higher fermentation

of NSP in the hindgut of the pigs fed the experimental diets compared to the pigs fed the control

diet. No effect of fermentation of the experimental diets was found on skatole concentrations in

fecal samples, which is in accordance with previous studies showing no or little effect of

fermentation (Jensen et al., 2014).

Digestibility

Experimental diet. The Control diet was primarily included in the study in order to investigate

whether the experimental diet was a realistic alternative to a conventional grower diet. The

digestibility of NSP in the experimental diet was not impaired compared to that of the Control diet.

However, digestibility of CP was lower for the experimental diet, with significant differences

detected in feces and numerical differences in ileum. Approximately 65 % of the protein in the

experimental diet originated from RSC and pea, while this was only the case for approximately 15

% in the Control diet (according to nutritional data on feed ingredients from Denmark) (VSP,

2014). Reduced digestibility of CP has previously been shown in pigs when replacing soybean meal

with peas (Grala et al., 1999) or rapeseed meal (Landero et al., 2012). The primary reason for this in

rapeseed meal is the high amount of lignin, which cements and anchors the cell wall

polysaccharides (Bach Knudsen, 1997; Meng and Slominski, 2005), and binds protein in this tight

network rendering protein less available for digestion (McDonnell et al., 2010). In peas, the starch

fraction shows lower digestibility than in cereals, which results in a large amount of excreted

microbial biomass, which could explain a low digestibility of protein (Bach Knudsen, 2014). The

AID of DM was similar for the Control and n-FLF fed pigs, but ATTD of DM was lower in the n-

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FLF fed pigs. Overall it seemed that the experimental diet had the possibility of being a sound

alternative to a standard grower diet; however, some improvements, which could be met by the use

of fermentation and enzyme addition (as reported in the current study), would be needed if the same

or better nutritional value and hence the animal performance were to be expected from the

experimental diet.

Non-starch polysaccharides. Several studies have shown that fermentation of standard feed

ingredients, e.g. wheat, barley and soybean meal, results in solubilisation or reduction of NSP

(Christensen et al., 2007; Jørgensen et al., 2010; Sholly et al., 2011). Furthermore, Christensen et

al., (2007) showed an additional solubilisation by supplementing a xylanase and β-glucanase

mixture during fermentation.

In the current study, a reduction in the amount of NSP in the feed due to fermentation of the

experimental diet was not observed, but a clear effect was measured as a result of enzyme addition.

As described above, dietary total-, soluble-, and insoluble-NSP levels were significantly lower in

FLF+enz than in FLF. When aiming at quantifying the impact of enzyme addition on NSP

digestibility, both the impact exerted in the feed before being offered to the animals and that exerted

in the GI-tract should be considered. For doing that, the NSP level measured in the FLF diet should

also be used for the FLF+enz diet when calculating digestibility, otherwise the effect of enzyme

addition on NSP digestibility would be underestimated (see formula used for digestibility

calculations above).

When evaluating the distribution of the Total-NSP digestibility of the three experimental diets

(Table 6), it can be observed that fermentation increased the amount of NSP digested in the small

intestine; but more clearly, that enzyme addition resulted in NSP disappearance taking place before

reaching the hindgut to a much larger extent. The microbial metabolites produced from NSP in the

diet and in the small intestine are primarily lactic acid, while the major metabolites produced in the

hindgut are short chain fatty acids (SCFA) (McDonald et al., 2002). Absorption of hexoses in the

small intestine is the energetically optimal process, and microbial conversion to lactic acid results in

almost no energy loss. However, NSP conversion to SCFA in the hindgut is less energetically

favorable for the animal. The same can be assumed regarding pentoses, as these are not absorbed in

the small intestine (Schutte et al., 1992), microbial conversion to lactic acid will be the more energy

favorable process. Hence, although ATTD was only numerically higher in the FLF+enz group than

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in the FLF group, addition of enzyme can be hypothesized to result in a higher net energy supply to

the pig from dietary NSP.

Fermentation alone resulted in a numerical increase in AID and ATTD of total- and insoluble-

NSP. Previous studies have shown positive effects of fermentation on digestibility of DM, OM,

energy and carbohydrates (Jørgensen et al., 2010; Sholly et al., 2011), but a specific increase in

NSP digestibility has not been reported in relation to fermentation. Sholly et al., (2011) measured

ATTD of NSP in fermented wheat and barley but did not detect a positive effect. These authors

used the NSP levels measured in the FLF, which were lower than those in n-FLF, for digestibility

calculations, which would underestimate the results as explained above. Studies by Lyberg et al.

(2006) and Jørgensen et al. (2010) however related the degradation of NSP in fermented feed to

increased digestibility of OM, energy and CP in pigs, explained by microbial activities affecting

degradation of cell wall polysaccharides.

Positive effects of enzyme addition to dry feed on NSP digestibility have been reported

(Cowieson et al., 2006; Kiarie et al., 2007; Zijlstra et al., 2010) but the current results are interesting

as studies demonstrating an increase in NSP digestibility by the use of enzymes during fermentation

have so far not been reported. l'Anson et al. (2013) examined the NSP digestibility of a wheat based

diet in pigs after addition of xylanase during liquid fermentation for 1 or 24 hours, but found no

positive effect of enzyme addition. This is most likely a result of the effect being dependent on the

composition of the diet. Jørgensen et al. (2010) suggested that a bigger effect of fermentation can be

expected in less digestible diets, as they showed a bigger effect of fermentation on AID of nutrients

when fermenting barley than wheat. It is thus possible that the increase in NSP digestibility

observed in the current study is a result of the more resistant diet composition compared to that used

by l`Anson et al. (2013).

The NSP monomers showing the largest increase in digestibility in pigs fed FLF+enz compared

to those fed FLF were the same as those affected most in the diet (i.e., arabinose, glucose, xylose

and galactose). In addition, digestibility of uronic acids were improved in the FLF+enz fed pigs

compared to the n-FLF group, which indicated that joined effect of pre-digestion in the feed and

digestion within the GI-tract were able to increase the nutrient utilization of pectic structures.

Protein. Some studies have found a correlation between the disruption of NSP in a diet and an

increased protein digestibility (Skrede et al., 2002; Zhang et al., 2014). This can be explained by the

nutrient-encapsulating effect of cell wall polysaccharides (McDonnell et al., 2010). The amount of

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tightly bound cell wall polysaccharides, especially pectin, was abundant in the experimental diet,

containing high amounts of RSC and peas. This was expected to render the protein in the

experimental diet tightly associated to the polysaccharide network. An increased protein

digestibility as a result of disruption of NSP in the FLF+enz diet was however not observed in the

current study. The effect observed on NSP might not have been great enough to affect protein

digestibility. A similar result was observed by Meng and Slominski (2005) who tested the addition

of a multicarbohydrase mixture on several diets fed to broilers. The study showed that even though

enzyme addition to a diet based on corn and canola meal showed disruption of NSP in ileum and

increased ATTD of NSP, a concurrent increased AID of protein was not obtained. The same study

did however obtain the expected correlation between NSP disruption and increased protein AID in

the diet composed of corn and soybean meal. The authors speculated that other factors than the

nutrient encapsulating effect of NSP was responsible for the lack of improvement in protein

digestibility. One factor, also considered relevant in the present case, was speculated to be the

processing of rapeseed, which could affect protein digestibility. Other authors have connected high

dietary levels of arabinose and xylose to decreased N retention by observing both, increased fecal-

and urinary N excretion. The mechanism behind this is not fully understood, though (Schutte et al.,

1992).

Phosphorus. As shown above, analysis of the feed showed a marked reduction of phytate-P due to

fermentation, and the digestibility results indicated that phytate-P had been converted to digestible

forms of P, as significant increases in AID was found for fermented diets. This illustrated that the

process of fermentation not just substituted what would anyway take place within the animal but

added nutritional value to the diet. A study on a similar diet (high in maize, no wheat) also

illustrated the positive impact of fermentation on P digestibility when exogenous microbial phytase

was added (Nitrayova et al., 2009).

CONCLUSION

Fermentation of an experimental diet rich in the locally grown crops, high moisture maize, rapeseed

cake and peas, resulted in a microbiologically good quality feed. The process of fermentation

reduced the amount of phytate-P in the feed, which further resulted in increased digestibility of P.

Fermentation also showed a numerical increase in digestibility of NSP. Enzyme addition was able

to further improve the ileal digestibility of NSP, which could be associated to the significant

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reduction in the concentration of total-, insoluble-, and soluble-NSP in the feed. The ATTD of NSP

was numerically increased for FLF+enz, but with a larger portion of the digestibility taking place

prior to the hindgut, compared to FLF, resulting in more energy favorable metabolites. In

conclusion, the experimental diet seemed to be a possible alternative to a traditional diet for pigs,

and the use of NSP-degrading enzymes during liquid fermentation improved its nutritional value.

Conflict of interest

There is no conflict of interest to report regarding this paper.

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TABLES

Table 1. Ingredient composition of the diets (g/kg as-fed)

Ingredient Control diet Experimental diet1

Wheat 366.1 -

Barley 365.9 166.3

Maize, high moisture - 394.5

Soybean meal, dehulled, toasted 164.4 21.9

Rapeseed cake 80.0 200.0

Peas - 200.0

Calcium carbonate 12.8 10.4

Sodium chloride 3.8 3.3

Monocalcium phosphate 3.5 1.6

Vitamin- mineral premix2 2.0 1.7

Phytase (500 FTU/kg) 0.1 0.1

DL-Methionine, 99% 0.1 -

L-Lysine-HCl, 99% 1.0 -

L-Threonine, 98.5% 0.1 -

Chromium oxide 0.2 0.2 1The experimental diet was used to prepare the dietary treatments n-FLF, FLF, and FLF+enz.

2Supplied per kilogram of diet: 193.6 g calcium; 1.9 g phosphate; 2,211 IU of vitamin A; 221 IU of

vitamin D3; 36,437 IU of vitamin E; 33.16 g DL-Alpha tocopherol; 1.1 g vitamin B1; 1.1 g vitamin

B2; 1.7 g vitamin B6; 11.1 mg vitamin B12; 1.1 g vitamin K3; 5.5 g D-pantothenic acid; 11.1 g

Niacin; 27.6 mg Biotin vitamin H; 44.2 g iron (II) sulphate; 110.5 mg calcium iodide; 7.9 g copper

(II) sulphate; 22.1 g manganese oxide; 52.6 g zinc oxide; 157.9 mg sodium selenite; 26.3 g

antioxidant (Endox).

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Table 2. Analyzed chemical and microbiological composition of the diets1

Item Control2 Experimental diets SEM P-value

n-FLF3 FLF4 FLF+enz5

Microbial counts, log cfu/g

Enterobacteriaceae <4.4a(1) <3.8b(2) <3.1bc(5) <3.0c(8) 0.2 <0.001

Lactic acid bacteria <4.1a(1) 7.0b 9.5c 9.6c 0.1 <0.001

Yeasts 3.2a(3) 4.6b 4.1b 7.1c 0.2 <0.001

Clostridium perfringens <2.0(6) <2.1(5) <2.1(5) <2.3(4) 0.1 0.14

pH 5.9a 5.4b 4.1c 3.9d 0.05 <0.001

Ethanol, mmol/kg 0.0a 4.3a 10.9b 49.9c 2.2 <0.001

Organic acids, mmol/kg

Lactic acid 0.5a 20.6a 214.1b 272.3c 9.5 <0.001

Acetic acid 2.9a 6.8a 25.5b 56.4c 1.6 <0.001

DM, % 23.5 23.1 21.9 21.5 1.0 0.49

Biogenic amines, mg/kg DM

Putrescine 21.5a 287.0a 1325.2b 1188.4b 97.5 <0.001

Cadaverine <7.7a 370.7b 814.8c 661.1c 45.1 <0.001

Tyramine <8.1a 132.2b 375.0c 346.0c 16.4 <0.001

CP, g/kg DM 170.5ab 167.1a 170.1ab 176.2b 1.8 0.02

P, g/kg DM 4.1a 4.8b 4.7b 4.9b 0.1 <0.001

Phytate-P, g/kg - 2.1a 0.9b 1.0b 0.1 <0.001

Non-Starch Polysaccharides, g/kg DM

Total 159.5a 154.6a 159.1a 127.6b 2.7 <0.001

Rhamnose 0.4a 0.7b 0.8c 0.7b 0.01 <0.001 Fucose 0.6a 0.6a 0.6a 0.4b 0.01 <0.001 Arabinose 26.3a 27.5a 28.0a 17.4b 0.4 <0.001 Xylose 37.6a 24.2bc 25.9b 21.7c 0.7 <0.001 Mannose 4.9a 3.8b 3.7b 3.5b 0.2 0.003 Galactose 13.9a 11.2b 11.4b 7.2c 0.2 <0.001 Glucose 61.6a 60.2a 62.1a 52.2b 1.2 <0.001 Uronic acids 14.2a 26.4b 26.5b 24.6b 0.7 <0.001

Insoluble 119.0a 116.6a 119.3a 102.8b 2.4 0.001

Soluble 40.5a 38.0a 39.8a 24.9b 1.9 <0.001

Starch - 39.5ab 40.4a 38.2b 0.5 0.02 1Values are Least Square Means. N = 8 for microbial counts, pH, organic acids, and ethanol; n = 4

for non-starch polysaccharides, CP, and P. Values in parentheses indicate the number of samples

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with values below the detection levels. The minimum detection levels (log cfu/g) are 3, for C.

perfringens 2. The < symbol indicates that some observations from which the mean was calculated

had values below the detection levels. When no colonies were detected on the plates, the detection

level was applied and used to make the calculations. Therefore, the real mean value is lower than

that reported.

2Non-Fermented Liquid Feed Control diet (Danish standard grower diet).

3Non-Fermented Liquid Feed, experimental diet.

4Fermented Liquid Feed, experimental diet.

5FLF supplemented with 13.5 g/kg DM enzyme mixture of GluXylPec (1080 U β-glucanase/kg

DM, xylanase and pectinase activities not declared). Enzyme supplied by Novozymes A/S,

Bagsvaerd, Denmark.

abcdWithin a row, means without a common superscripts differ (P < 0.05).

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Table 3. Microbial counts (log cfu/g sample) and concentration of organic acids (mmol/kg sample)

in ileal contents of pigs fed the diets1

Item Control Experimental diets SEM P-values

n-FLF FLF FLF+enz Diet Period D x P

Microbial counts

Enterobacteriaceae 6.4 6.3 5.1 5.4 0.4 0.06 0.82 0.99

Lactic acid bacteria 8.8a 8.3ac 7.5b 7.7bc 0.2 0.001 0.25 0.35

Yeasts <3.3(7)

<3.8(4) <3.1(4) <3.7(2) 0.2

0.19 0.29 0.40

Clostridium perfringens 4.1 4.4 <4.0(1) 3.7 0.2 0.04 <0.001 0.01

Total anaerobes 8.7a 8.2ab 7.8b 7.8b 0.2 0.004 0.42 0.20

Organic acids

Lactic acid 30.0a 34.5ab 52.5ab 64.3b 8.2 0.03 0.96 0.43

Acetic acid 22.2a 19.2ab 13.9b 15.2b 1.6 0.007 0.86 0.27

Formic acid 17.1 14.3 7.2 10.1 2.7 0.08 0.25 0.65

DM, % 10.8a 10.5a 8.5b 7.6c 0.2 <0.001 0.36 0.04

For detailed description of diets see footnote Table 2.

1Values are Least Square Means (LSM). N = 8. Values in parentheses indicate the number of

samples with values below the detection levels. The minimum detection levels (log cfu/g) are 3, for

C. perfringens 2. The < symbol indicates that some observations from which the mean was

calculated had values below the detection levels. When no colonies were detected on the plates, the

detection level was applied and used to make the calculations. Therefore, the real mean value is

lower than that reported.

abcWithin a row, means without a common superscripts differ (P < 0.05).

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Table 4. Microbial counts (log cfu/g sample), concentration of organic acids (mmol/kg sample), and indolic compounds (µmol/kg) in feces

of pigs fed the diets1

Item Control Experimental diets SEM P-values

n-FLF FLF FLF+enz Diet Period D x P

Microbial counts

Enterobacteriaceae 6.3 6.2 5.1 5.2 0.4 0.08 0.92 0.75

Lactic acid bacteria 9.2a 9.4a 8.5b 8.4b 0.2 0.001 0.25 0.23

Yeasts <3.4a(4) <4.3ab(1) <3.0a(4) <4.7b(1) 0.3 0.008 1.00 0.80

Clostridium perfringens 5.5 5.2 5.2 5.3 0.4 0.93 0.02 0.66

Total anaerobes 9.5 9.7 9.4 9.5 0.1 0.33 0.53 0.07

Organic acids

Acetic acid 77.5 87.5 85.6 86.5 2.6 0.06 <0.001 0.08

Propionic acid 29.7 31.7 29.9 30.6 1.1 0.57 <0.001 0.003

Butyric acid 17.3 18.2 15.7 17.0 1.4 0.66 0.08 0.04

Valeric acid 4.0 3.9 3.6 3.8 0.2 0.53 0.03 0.009

Total acids2 128.5 141.3 134.8 137.9 4.3 0.22 <0.001 0.008

BCFA3 4.2 3.2 3.4 4.1 0.5 0.54 0.52 0.84

Indolic compounds

Indole 56.3a 19.6bc 17.1b 52.9ac 9.4 0.008 0.76 0.98

Skatole 173.1 159.3 156.3 148.7 16.8 0.79 0.64 0.41

DM, % 27.2 28.1 27.5 27.2 0.7 0.80 0.52 0.23

For detailed description of diets see footnote Table 2.

1Values are Least Square Means (LSM). N = 8. Values in parentheses indicate the number of samples with values below the detection

levels. The minimum detection levels (log cfu/g) are 2, for C. perfringens 2. The < symbol indicates that some observations from which the

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mean was calculated had values below the detection levels. When no colonies were detected on the plates, the detection level was applied

and used to make the calculations. Therefore, the real mean value is lower than that reported.

2Acetic acid + propionic acid + butyric acid + valeric acid.

3Branched Chain Fatty Acids: Isobutyric acid + isovaleric acid.

abcWithin a row, means without a common superscripts differ (P < 0.05).

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Table 5. Apparent ileal digestibility (AID) and apparent total tract digestibility (ATTD) of dry

matter, CP, P, and non-starch polysaccharides (NSP) in pigs fed the diets1

Item, % Control Experimental diets SEM P-values

n-FLF FLF FLF+enz Diet Period D x P

AID

DM 59.8 58.4 59.3 58.9 1.4 0.90 0.26 0.63

CP 67.6a 62.8ab 62.2ab 59.4b 1.4 0.007 0.31 0.39

P 22.5ab 19.5a 36.1b 32.6ab 3.8 0.02 0.20 0.36

Total-NSP2 6.7a 9.2a 13.6a 31.1b 2.8 <0.001 0.42 0.88

Insoluble-NSP2 1.2a 4.4a 9.0a 26.2b 2.8 <0.001 0.65 0.89

Soluble-NSP2 22.9a 24.0ab 27.5ab 45.8b 5.5 0.03 0.45 0.79

ATTD

DM 76.6a 74.5b 76.2ab 77.2a 0.5 0.004 0.44 0.05

CP 74.3a 69.0b 73.2a 74.0a 1.0 0.004 0.49 0.93

P 34.5 31.8 46.1 46.9 3.8 0.02 0.74 0.98

Total-NSP2 47.9 50.4 54.3 56.7

1.1 <0.001 0.01 0.02

Insoluble-NSP2 32.1a 38.1ab 42.3b 45.0b 1.8 0.001 0.08 0.05

Soluble-NSP2 93.1 92.8 90.2 91.7 2.3 0.79 0.86 0.50

For detailed description of diets see footnote Table 2.

1Values are Least Square Means (LSM). N = 8 (ATTD of total- and soluble-NSP, n = 7).

2 FLF+enz calculated with values from FLF diet (total-NSPdiet = 159.1 g/kg, insoluble-NSPdiet =

119.3 g/kg, and soluble-NSPdiet = 39.8 g/kg) in order to quantifying the impact of the enzyme

mixture exerted in the feed before being offered to the animals and that exerted within the GI-tract.

abWithin a row, means without a common superscripts differ (P < 0.05).

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Table 6. Disappearance of NSP (g/kg DM) during the different steps of digestion of the

experimental diets1

Digestion step n-FLF FLF FLF+enz

Feed 0 0 31.5

Small intestine 14.2 21.6 18.0

Colon 63.7 64.8 40.7

Total 77.9 86.4 90.2

For detailed description of diets see footnote Table 2.

1Values calculated from dietary concentrations of NSP in Table 2 and from digestibility coefficients

in Table 5.

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8. Manuscript III

Impact of fermentation and addition of non-starch polysaccharide-degrading

enzymes on digestibility of dried distillers grains with solubles in pigs

Grethe Venås Jakobsen, Bent Borg Jensen, Knud Erik Bach Knudsen and Nuria Canibe

Submitted to Livestock Science

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Running head: Fermentation and enzyme addition to DDGS

Impact of fermentation and addition of non-starch polysaccharide-degrading enzymes on

digestibility of dried distillers grains with solubles in pigs

G.V. Jakobsen, B.B. Jensen, K.E. Bach Knudsen and N. Canibe*

University of Aarhus, Faculty of Science and Technology, Department of Animal Science, Blichers

Allé 20, P.O. Box 50, DK-8830 Tjele, Denmark.

*Corresponding author.

University of Aarhus,

Faculty of Science and Technology, Dept. of Animal Science,

Blichers Allé 20, P.O. BOX 50,

DK-8830 Tjele, Denmark

Tel. : +45 87 15 80 58

Fax: +45 87 15 42 49

E-mail address: [email protected].

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ABSTRACT

Fluctuating prices on cereals have led to a growing interest in alternative feed ingredients. Co-

products from the biofuel industry are in this aspect interesting items to be included in pig feeds.

The relatively low nutritional value, however, limits the use of these ingredients. The current study

aimed at increasing the digestibility of dried distillers grains with solubles (DDGS), based on 80%

wheat and 20% barley, by fermentation and enzyme addition prior to feeding. Using an

experimental diet based on 60% DDGS (fermented or not, without or with addition of

carbohydrases) and 40% of a basal diet composed mainly of maize starch, four treatments were

designed: 1) a non-fermented liquid feed treatment (n-FLF); 2) a fermented liquid feed treatment

(FLF); 3) the FLF supplemented with a mixture of xylanase and β-glucanase (XylGlu); and 4) the

FLF supplemented with a mixture of cellulase and xylanase (CelXyl). Apparent ileal- and total tract

digestibility were measured on eight barrows surgically fitted with a simple T-shaped cannula at the

distal ileum and fed the four treatments according to a double Latin square design. The addition of

CelXyl to DDGS resulted in a significant decrease in the amount of non-starch polysaccharides

(NSP) compared to the fermented DDGS (from 341.8 g/kg DM to 312.9 g/kg DM, P < 0.001); the

reduction was mainly due to a decrease in glucose. Furthermore, addition of CelXyl to DDGS

showed a reduction in the level of putrescine (46.5 mg/kg DM in the ferm. DDGS versus 3.7 mg/kg

DM in the ferm. DDGS added CelXyl). Addition of XylGlu reduced the level of xylose (P = 0.008).

Fermenting DDGS prior to feeding led to significantly increased apparent total tract digestibility

(ATTD) of DM (P = 0.01), CP (P = 0.003), and P (P = 0.04), along with numerical increases of that

of NSP (P = 0.1). Apparent ileal digestibility (AID) of NSP increased (P = 0.02), and P and DM

were numerically increased due to fermentation. Addition of XylGlu and CelXyl resulted in further

and significant increases of both AID and ATTD of NSP compared to n-FLF (P ≤ 0.03); with the

greatest effect seen for the CelXyl treatment. In conclusion, the digestibility of DDGS in pigs was

increased by fermentation. Addition of carbohydrases during fermentation can be a way of further

increasing the NSP digestibility of DDGS.

Keywords: dried distillers grains with solubles, carbohydrases, fermented liquid feed, digestibility,

pigs

Highlights:

Fermenting DDGS resulted in a low microbial activity compared to compound feed

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Addition of the CelXyl enzyme mixture reduced the concentration of NSP in DDGS

Fermentation resulted in increased digestibility of DM, CP, P and NSP

Addition of XylGlu or CelXyl during fermentation further increased digestibility of NSP

1. Introduction

The price of wheat increased drastically in 2007, and prices on traditional feed ingredients have

in general been fluctuating since (OECD-FAO, 2013). This has encouraged pig producers to look

for alternative and less expensive ingredients for feed. During the past years, dried distillers grains

with solubles (DDGS), a co-product from the bioethanol production, has gained interest as a feed

ingredient due to a continuously increasing production and feasible prices (OECD-FAO, 2013).

The nutritional value of wheat DDGS for pigs has been studied to a lesser extent than that of

maize DDGS. But studies have shown that wheat DDGS contain high levels of crude protein (CP)

(326 to 445 g/kg DM) (Widyaratne and Zijlstra, 2007; Cozannet et al., 2010) and non-starch

polysaccharides (NSP) (167 to 291 g/kg DM) (Rosenfelder et al., 2013; Pedersen et al., 2014). The

high amount of NSP, particularly present in the bran fraction, contributes to a reduced energy value

of DDGS as they show low digestibility in monogastric animals (Barrera et al., 2004), and can limit

CP digestibility due to proteins bound in the cell walls (Nortey et al., 2007).

Fermented liquid feed (FLF) is an acknowledged feeding strategy in the pig industry, mainly due

to a beneficial impact on the gastrointestinal health of the animals (Brooks et al., 2001; Missotten et

al., 2010; Canibe and Jensen, 2012). Fermentation of feed has also shown positive results on

digestibility of phytate, calcium, CP, crude fibre, and amino acids in pigs (Larsen et al., 1999;

Lyberg et al., 2006; Hong and Lindberg, 2007; Jørgensen et al., 2010; Blaabjerg et al., 2010b).

Furthermore, several studies have reported a decrease in the concentration of NSP in wheat, barley

or wheat-based diets due to fermentation (Jørgensen et al., 2010; Sholly et al., 2011; l'Anson et al.,

2013). Enzyme addition is an increasingly used method for improving digestibility of feed, and

good results on wheat-based products have been found by addition of xylanase as reviewed by

Rosenfelder et al. (2013); a result of arabinoxylan being the main cell wall polysaccharides in wheat

(Bach Knudsen, 1997). Positive results however, are not always found by xylanase addition, as e.g.

reported by Widyaratne et al. (2009), who found no effect on growth performance of pigs by

addition of xylanase to diets based either on wheat or wheat DDGS.

The possibility of a further increase in nutrient digestibility might be found by addition of

enzymes during fermentation of liquid feed, as has been reported for phytase (Brooks et al., 2001;

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Carlson and Poulsen, 2003; Blaabjerg et al., 2010a). Christensen et al. (2007) were able to show an

increased disruption of NSP, compared to fermentation alone, when adding xylanase and β-

glucanase during fermentation of a diet based on wheat, barley and soybean meal.

The aim of the current study was to evaluate the effect of fermentation and addition of NSP-

degrading enzymes to DDGS on in vivo digestibility of various nutrients in pigs.

2. Materials and methods

2.1. Diets

A diet was designed with DDGS (obtained after ethanol production on a mixture of 80% wheat

and 20% barley, delivered from Lantmännen Agroethanol AB, Stockholm, Sweden) as the main

ingredient and the only source of NSP. The diet contained 60% DDGS and 40% of a basal diet

composed mainly of maize starch resulting in the ingredient composition shown in Table 1. The

DDGS were pelleted, while the basal diet was used as mash. Four treatments were designed: 1) a

non-fermented liquid feed treatment (n-FLF), in which the experimental diet and water were mixed

immediately before feeding in the ratio 1:2.5 (w/w); 2) a fermented liquid feed treatment (FLF), in

which fermented DDGS were mixed with the basal diet immediately before feeding; 3) the FLF

supplemented with an enzyme mixture of xylanase and β-glucanase (XylGlu), in which fermented

DDGS with added XylGlu prior to fermentation were mixed with the basal diet immediately before

feeding. The enzyme mixture was delivered by DuPont Industrial Biosciences-Danisco UK Ltd.,

Marlborough, Wiltshire, UK; and 4) the FLF supplemented with an enzyme mixture of cellulase

and xylanase (CelXyl), in which fermented DDGS with added CelXyl prior to fermentation were

mixed with the basal diet immediately before feeding. The CelXyl enzyme mixture was delivered

by Novozymes A/S, Bagsvaerd, Denmark.

The fermented DDGS was prepared as follows: DDGS and water were mixed in 200 L closed

tanks in the ratio 1:3 (w/w) and incubated at a room temperature of ~20 ºC. The mixture was

agitated during two min every 30 min; and once daily, 50% of the mixture was removed and

replaced with an equal amount of fresh DDGS and water with a temperature of approximately 20°C

(backslopping). In treatments XylGlu and CelXyl, the enzymes were added at every backslopping.

The described procedure was repeated during six days before it was offered to the animals. This

was to ensure that the product had reached steady state and was homogeneous during the whole

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study. The tanks were cleaned twice a week during the whole experimental period. Immediately

before feeding, the basal diet and the fermented DDGS were mixed, obtaining a final feed to water

ratio of 1:2.5 (w/w). The feed mixtures had a temperature of 22.5 ± 1.1°C.

Both enzyme mixtures were added at an amount of 1 g/kg DDGS, corresponding to 8000 U

xylanase and 1000 U β-glucanase/kg DDGS (as is) for XylGlu; and 600 U cellulose and 300 U

xylanase/kg DDGS (as is) for CelXyl. Chromium oxide was used as digestibility marker.

Fermented DDGS samples were collected twice per feeding period (eight in total). All samples

were analysed for pH and microbial composition within two hours of collection. One sample per

period (four in total) was frozen and stored at -20ºC for measuring concentration of organic acids,

ethanol, and chemical composition. Organic acids and ethanol were determined on thawed samples,

whereas samples for chemical composition were freeze-dried and ground to a particle size of 1 mm

(DM, Cr2O3, N, P and biogenic amines) or 0.5 mm (NSP, starch and sugars) prior to analysis. A

sample of non-fermented DDGS was analysed for the same parameters as the fermented DDGS;

and a sample of the basal diet was analysed for chemical composition.

2.2. Animals, feeding and experimental procedure

The animal experiment was conducted according to the license obtained by the Danish Animal

Experiments Inspectorate, Ministry of Food, Agriculture and Fisheries, Danish Veterinary and Food

Administration.

Eight crossbred [(Danish Landrace - Yorkshire) x Duroc] barrows with an initial body weight of

35.1 ± 1.8 kg were housed individually in pens (1.5 x 3.40 m) and fed a standard Danish grower

diet (wheat, barley and SBM) mixed with water immediately before feeding in the ratio 1:2.5 (w/w)

for seven days. The animals were then surgically fitted with a simple T-shaped cannula at the distal

ileum. After a recovery period of eight days, pigs were assigned to one of four treatments according

to a double-Latin square design. Each experimental period lasted for 14 days, consisting of 10 days

adaptation to the diets and four days of sample collection. The animals were fed twice a day, at 8.00

and 14.00 (8.00 and 16.00 when ileal and faecal samples were collected), with a total amount of

feed corresponding to 3.5% of their body weight (divided in two equal portions). One hour after

each meal, leftover feed (if any) was removed. The barrows were weighed once a week to adjust

their feed rations. On days 11 and 12, faecal samples were collected from 8.00 to 16.00. Faeces

were collected in plastic bags attached to the back of the pigs, and changed three to four times per

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day. Samples were pooled for both days per pig and period, so that one sample per pig and period

was obtained. On day 13 and 14, ileal digesta was collected; on day 13, from 8.00 to 10.00 and

12.00 to 14.00, and on day 14, from 10.00 to 12.00 and again from 14.00 to 16.00. Samples were

collected by attaching tube-shaped plastic bags to the cannula. Bags were continuously emptied

when approximately half full. At collection, ileal samples were divided into two fractions: one for

analysis to be conducted on dry material and one for analyses to be conducted on fresh material, and

immediately stored at -20°C. Hence, at the end of the study, there were two ileal pooled

subsamples per pig and period. One subsample was freeze-dried and grinded to a particle size of 1

mm for DM, Cr2O3 (digestibility marker), N, P, and NSP (grinded to 0.5 mm) analysis. The other

subsample was analysed for the concentration of organic acids and indolic compounds.

Additionally, subsamples of faecal samples from the first bag emptied on day 11, and ileal samples

from the first bag emptied in the collection period from 12.00 to 14.00 on day 13 were taken and

microbial enumeration immediately conducted.

2.3. Analytical methods

Dry matter content was determined by freeze-drying the samples. When chemical analyses were

later performed and to express results in DM percentage, samples were further dried to constant

weight at 60°C. The concentration of short chain fatty acids, lactic acid, and succinic acid was

determined by capillary gas chromatography, and biogenic amine concentration was determined by

reverse phase HPLC chromatography, as described by Canibe et al. (2007a). Ethanol was

determined according to Beutler (1984). Non-starch polysaccharides were analyzed by an

enzymatic-chemical modification of the Uppsala and Englyst et al. (1982) procedures, as described

by Bach Knudsen (1997). By using this procedure, NSP with degree of polymerization smaller than

approx. 10 (low molecular weight – non-digestible carbohydrates, LMW-NDC) are discarded.

Initial analyses, however showed significant amounts of LMW-NDC in the DDGS, the method was

therefore modified to include these by using direct sulphuric acid hydrolysis, without removal of

starch and low molecular weight carbohydrates as described by Kasprzak et al. (2012). Dietary

DDGS samples were analysed for starch and sugars as described by Bach Knudsen (1997), in order

to subtract the glucose content from these from dietary NSP glucose residues. The concentration of

indolic compounds in faeces was determined by HPLC, according to Knarreborg et al. (2002). Total

N was determined by a generic combustion method according to the AOAC 992.23 official method

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for CP in cereal grains and oilseeds (AOAC, 1992) and total P was determined be using emission

spectroscopy (ICP-EOS) as described in Commission Regulation (EC) No 152/2009 (EC, 2009).

The inert marker chromic oxide was measured as described by Schürch et al. (1950). Total

anaerobes, lactic acid bacteria, Enterobacteriaceae and yeasts in the DDGS, ileal, and faecal

samples were enumerated as described by Canibe et al. (2005). Clostridium perfringens were

enumerated using the pour-plate technique on tryptose sulfite agar (Merck 11972) supplemented

with cycloserine (Oxoid SR088E) following anaerobic incubation at ~20°C for 3 d (DDGS) or 37°C

for 1 days (ileal and faecal samples).

2.4. Calculations and statistical analysis

Logarithmic transformation was performed on microbial counts before statistical analysis. The

detection level for microbial enumerations was 3.0 log cfu/g (2.0 log cfu/g for C. perfringens). As

NSP were measured by direct acid hydrolysis, starch, sugars, and LMW-NDC (DP 3-9) were

consequently included in the NSP results. To correct for that, the concentration of sugars and starch,

measured separately in the four treatments, was subtracted from the dietary values of total-NSP as

well as from residual dietary glucose (resulting data presented in Table 3). Apparent ileal- (AID)

and total tract digestibility (ATTD) was calculated according to the following formulas:

Apparentdigestibility = �1 − �Nutrient������/��� �! ∗ �Cr$O&�'()*�Nutrient�'()* ∗ �Cr$O&������/��� �!+ ∗ 100

In the calculation of AID, data from ileum were used, while for ATTD data from feces were

used. For calculating total-NSP- and NSP-monomer digestibility of the XylGlu and CelXyl diets,

the NSP content measured in the FLF diet was applied. This was done in order to account for the

effect of the enzyme mixture exerted both in the feed and within the animal. Although the impact of

enzyme addition is a sum of the action of the enzyme mixture during fermentation in the feed and

within the GI-tract, we use here the term digestibility. For further explanations, see discussion

section.

Data was statistically analysed using SAS for Windows version 9.3 (SAS Inst. Inc., Cary, NC).

The effect of dietary treatment on feed composition was analysed using the GLM procedure with

diet as the main factor. The impact of dietary treatment on chemical composition and

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microbiological enumerations of ileal and faecal samples, along with ileal- and faecal digestibility

was analysed using the mixed procedure, with diet, period and their interaction as fixed effects. The

repeated statement was used to account for the measurements made on the same animal. Compound

symmetry was assumed as covariance structure. Multiple comparisons were adjusted by the Tukey-

Kramer method (Littell et al., 2002), and effects were considered significant at P ≤ 0.05.

3. Results

Practically all feed offered was consumed by all animals.

3.1. Composition of dried distillers grains with solubles

The number of lactic acid bacteria (LAB) increased from below detection levels, i.e., 3 log cfu/g

in the non-fermented (non-ferm) DDGS to a level of 8.8 - 8.9 log cfu/g in the three fermented

DDGS samples, which correlated with an increased production of lactic acid and a small reduction

in pH in the latter samples compared to non-ferm DDGS (Table 2). The Enterobacteriaceae and C.

perfringens counts were below detection level in all samples, while the number of yeasts were

higher in ferm-DDGS + CelXyl (7.8 log cfu/g) compared to ferm-DDGS and ferm-DDGS + XylGlu

(7.0 and 6.9 log cfu/g, respectively) (P < 0.001). A similar increase in ethanol was observed in this

sample (P < 0.001). Organic acids were elevated in the fermented samples, with lactic acid

increasing more in ferm-DDGS + XylGlu compared to ferm-DDGS + CelXyl (P = 0.02), while

acetic acid was higher in the two ferm-DDGS samples with enzyme addition compared to ferm-

DDGS (P < 0.001). The biogenic amine putrescine was detected in the three fermented DDGS

samples, but with a significantly lower level in the ferm-DDGS + CelXyl (P < 0.001). Cadaverine,

tyramine, and agmatine were not detected in any of the samples.

The content of CP was higher in the ferm-DDGS + CelXyl compared to the other fermented

samples (P < 0.001) (Table 3). The procedure used for measuring carbohydrates included

polysaccharides, LMW-NDC, and monosaccharides, along with starch. The content of starch in the

DDGS treatments non-ferm., ferm., ferm.+XylGlu, and ferm.+CelXyl was 36.3, 34.3, 33.3, and

31.7 g/kg DM respectively, while that of the glucose sugar was 2.37, 0.27, 0.49, and 1.22 g/kg DM,

and the sucrose sugar was 2.88, 0.45, 0.55, and 0.90 g/kg DM (data not shown). These values were

subtracted from the dietary glucose residues measured in the NSP analysis, resulting in total-NSP

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values (DP ≥ 3) presented in Table 3. The concentration of total-NSP was reduced by the addition

of the enzyme mixture CelXyl (346.2 g/kg DM) compared with non-ferm-DDGS (not included in

statistics because only one sample measured), ferm-DDGS, and ferm-DDGS + XylGlu (369.7,

376.5, and 373.2 g/kg DM respectively) (P < 0.001); the difference being a result of a decrease in

the monomeric residue glucose. Addition of XylGlu to the DDGS decreased the concentration of

the monomeric residue xylose compared to ferm-DDGS (P = 0.008). When comparing the NSP

level measured by the standard NSP procedure and by direct acid hydrolysis after correcting for

starch and sugars, a LMW-NDC fraction (DP 3 – 9) in DDGS of 67 - 84 g/kg DM was obtained

(data not shown).

3.2. Microbiology, organic acids and indolic compounds in ileum and faeces

Pigs fed the three fermented treatments had numerically higher levels of LAB (8.1 to 8.4 log

cfu/g) in the ileum compared to those fed the n-FLF treatment (7.6 log cfu/g); being significantly

higher in the CelXyl group (P = 0.04) (Table 4). Higher levels of yeasts were also observed in the

pigs fed the fermented treatments (5.3 to 6.0 log cfu/g) than in those fed the n-FLF (4.1 log cfu/g)

(P ≤ 0.001). The measured levels of acetic acid were low in all groups but with tendency to higher

values in pigs fed the fermented treatments (only significantly higher in the FLF group compared to

the n-FLF group, P = 0.02).

Pigs fed FLF and XylGlu had lower numbers of LAB and total anaerobes in faeces compared to

those fed n-FLF (P ≤ 0.004) (Table 5). Of the organic acids detected, only butyric acid showed a

difference between diets. Interaction was however detected between diet and period, mainly due to

a high level in the XylGlu group in period 4 and a high level in the CelXyl group in period 1. The

overall picture was lower butyric acid in the CelXyl group (8.7 mmol/kg) and the XylGlu group

(10.0 mmol/kg) compared to pigs fed n-FLF and FLF (11.1 to 11.8 mmol/kg).

The concentration of indole and skatole in faeces did not show any significant difference between

treatments.

3.3. Digestibility

The effect of the treatments on AID of DM showed a tendency (P = 0.07); the values were n-

FLF > FLF > XylGlu > CelXyl (Table 6). Although the AID of P increased from 34.8% in the n-

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FLF group to 44.7 - 46.2% in the fermented diets, the difference was not significant. The ATTD of

DM, CP and P was higher (P < 0.05) in pigs fed the three fermented treatments compared to those

fed the n-FLF treatment, whereas enzymes had no effect.

Pigs fed the n-FLF treatment had the lowest AID of total-NSP (7.7%); fermentation of the feed

increase AID of total-NSP (15.6%, P = 0.02), with additional increase after enzyme addition,

compared to n-FLF group (XylGlu, 17.9%, P = 0.006 and CelXyl, 21.5%, P < 0.001). This was due

to increased AID of residual glucose, xylose and uronic acids. Interaction between diet and period

was detected for glucose and uronic acids, which was associated to a high level of the constituent

sugars in the n-FLF diet in period 2. The ATTD of total NSP tended to be increased by fermentation

(60.2%, P = 0.10), and was further increased by XylGlu (61.2%, P = 0.03) and CelXyl (62.7%, P <

0.001) addition, compared to n-FLF (58.0%). And for the AID data, glucose, xylose and uronic

acids were affected by the treatments.

4. Discussion

4.1. Diet composition

The three fermented DDGS samples showed a relatively low microbial activity, probably due to

the low pH of the material and the large fraction of insoluble-NSP in DDGS; insoluble-NSP

accounting for 66 to 81% of the NSP fraction in wheat DDGS (Widyaratne and Zijlstra, 2007;

Pedersen et al., 2014; own results). The low microbial activity was reflected in the relatively low

level of LAB and concentration of organic acids compared to fermented compound feed or

fermented grain (Canibe et al., 2007a; Missotten et al., 2010; Canibe and Jensen, 2012). Addition

of the CelXyl mixture, however, increased the population of yeasts, and concentration of ethanol,

which could be a result of an increased amount of available carbohydrates in this diet, as a

significant reduction in total-NSP was measured in the DDGS with added CelXyl. The reduction

was primarily a result of a decrease in the glucose residue.

The decarboxylation of amino acids, especially free amino acids, to biogenic amines is one of

the major disadvantages of fermenting the feed; particularly the disappearance of lysine and

concurrent production of cadaverine has been reported (Pedersen, 2001; Niven et al., 2006; Canibe

et al., 2007b; Canibe and Jensen, 2010). Besides reducing the concentration of amino acids in the

diet, high levels of biogenic amines have also been related to toxic effects and reduced palatability

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of the feed (Brooks et al., 2001). In this study however, only the biogenic amine putrescine,

originating from the amino acid methionine, was detected in the fermented DDGS. It was further

interesting that the addition of CelXyl significantly reduced the production of putrescine, potentially

because the higher amount of available carbohydrate, along with increased microbial activity in this

treatment led to an increased incorporation of amino acids in microbial biomass, in this way

resulting in less amino acids available for decarboxylation.

Non-starch polysaccharide composition in wheat DDGS is similar to that found in wheat but

concentrated (Pedersen et al., 2014). The most important NSP constituent in wheat is arabinoxylan,

followed by cellulose and β-glucan (Souffrant, 2001; Bach Knudsen, 2014). In barley, the most

abundant NSP is β-glucan, followed by arabinoxylan and cellulose (Bach Knudsen, 2014). Since

the primary reduction of NSP in the CelXyl diet was observed for the glucose residue, this result

could indicate that the CelXyl enzyme mixture was able to disrupt parts of the cellulose and/or β-

glucan present in the DDGS. No reduction in the xylose residue in DDGS was found after the

addition of the CelXyl enzyme mixture whereas our data indicate that the XylGlu enzyme mixture

was efficient in disrupting arabinoxylan in the DDGS. The limited overall effect of the XylGlu

enzyme mixture on the content of NSP in DDGS might be related to the addition of xylanase and β-

glucanase with the purpose of reducing viscosity during the production of DDGS (Aldén, 2008).

Thus, substrate specific for these enzymes might to a certain extent already be disrupted during

production.

The fermentation process alone did not reduce the NSP concentration. Studies on wheat,

barley and soybean meal based diets have, however, shown significant reduction in NSP due to

fermentation (Christensen et al., 2007; Jørgensen et al., 2010; Sholly et al., 2011). The reason why a

reduction was not observed in the current study might be due to the analytical method used. Here, in

contrast to the mentioned studies above, LMW-NDC were included. Therefore, a change in NSP

would only be seen if these components had been completely hydrolysed to mono- or disaccharide

levels or been fermented by the microorganisms present. It is therefore possible that fermentation

did reduce the size of the NSP, but not to mono- or disaccharides. A higher resistance of the NSP

remaining in DDGS, than in raw cereals, could also explain the lack of effect of fermentation.

Widyaratne and Zijlstra (2007) reported a lower ATTD of energy in pigs fed a diet composed of

40% wheat DDGS compared to a control wheat diet, supporting this hypothesis.

4.2 Microbial counts and metabolites in ileum and faeces

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Decreased Enterobacteriaceae counts in ileum and distal colon/faeces have previously been

reported when feeding FLF as compared to n-FLF or dry feed (Mikkelsen and Jensen, 2000; Van

Winsen et al., 2001; Canibe and Jensen, 2003). In the present study, no significant effect of

fermentation was detected, but lower numerical values of Enterobacteriaceae were found in

animals fed the fermented diets. Furthermore, we found higher LAB counts in the small intestine

and lower counts in the colon/faeces as a result of feeding fermented feed, as also reported before

(Canibe and Jensen, 2003; Hojberg et al., 2003). It has been proposed that the population measured

in the small intestine originates from the feed and that less substrate is available for microbial

fermentation in the hindgut after feed fermentation, therefore the obtained results (Canibe and

Jensen, 2003; Hojberg et al., 2003).

The concentration of short chain fatty acids (SCFA) in ileum and faeces was much lower than

that measured by other authors in the small intestine and colon/faeces of pigs fed non-fermented or

fermented standard grower diets (Bach Knudsen et al., 1991; Jensen and Mikkelsen, 1998; Canibe

and Jensen, 2003). The SCFA values however, correlate with the findings of Jha and Leterme

(2012), who measured the concentration of SCFA in the GI-tract of pigs fed a diet based on maize

DDGS and pea starch, and obtained values of 19.1 mmol total SCFA/kg in ileum and 100.0 mmol

total SCFA/kg in colon.

Studies have shown that diet composition, especially the availability of protein and

carbohydrates in the large intestine, can influence the production of skatole, which has been

identified as the main contributor of boar taint (Jensen et al., 2014). The current results did not show

a clear correlation, but skatole values tended to be lower in pigs fed fermented diets; this is in line

with previous reports showing no or minor effects of fermentation (Jensen and Jensen, 1998;

Hansen et al., 2000).

4.3 Digestibility

Non-starch polysaccharides. A reduction in the content of NSP was measured in the CelXyl

treatment. When aiming at quantifying the impact of CelXyl addition on NSP digestibility, both the

impact exerted in the feed before being offered to the animals and that exerted in the GI-tract,

should be considered. For doing that, the NSP level measured in the FLF diet should also be used

for the CelXyl diet when calculating digestibility, otherwise the effect of CelXyl on NSP

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digestibility would be underestimated (see formula used for digestibility calculations above). In

order to obtain the same basis for comparison between the two enzyme treatments, XylGlu was also

calculated using the FLF dietary NSP values.

The AID of total-NSP was significantly increased in pigs fed the FLF diet compared to those fed

the n-FLF. This is in line with different studies showing an effect of fermentation on dietary content

of NSP (Christensen et al., 2007; Jørgensen et al., 2010; Sholly et al., 2011). The current effect on

total-NSP digestibility was obtained through increased AID of glucose and uronic acid, suggesting

that microorganisms during liquid fermentation were able to break down part of the cellulose/β-

glucan and pectin present in the diet, the latter however only accounting for a small part of the NSP

fraction. Addition of both enzyme mixtures, XylGlu and CelXyl, significantly improved AID and

ATTD of total-NSP compared to n-FLF, and numerically increased compared to FLF. Judged from

the increased digestibility of xylose, XylGlu had probably the biggest impact on arabinoxylan,

whereas CelXyl, judged from the reduction of monomers observed in the diets, had an effect on

both xylose and glucose. The fact that XylGlu did not have an effect on glucose digestibility might

be related to β-glucanase already being added during bioethanol production (Aldén, 2008). Overall,

our findings are in concert with results obtained by Emiola et al. (2009) who reported a positive

effect of the addition of a multicarbohydrase enzyme mixture on the digestibility of several

nutrients in a dry diet containing 30% wheat DDGS; and Nortey et al. (2007) reporting improved

energy digestibility of various wheat by-products (30% inclusion in a dry diet) by the addition of

xylanase.

A part of the NSP could be broken down to monomers and absorbed by the pig in the small

intestine, while the remaining NSP could potentially be fermented. When evaluating the energy

value of NSP, it is important to consider the site of fermentation, as the energy value of SCFA,

produced predominantly in the large intestine, is lower than that of lactic acid and ethanol, produced

mainly in the small intestine (Rerat, 1978; McDonald et al., 2002). As seen in Table 7, fermentation

of DDGS increased the disappearance of NSP in the small intestine leading predominantly to

production of lactic acid and ethanol, as compared to the non-fermented DDGS. The addition of the

enzyme XylGlu increased pre-cecal disappearance of NSP with 4.7 g/kg DM, while CelXyl

increased it with 12.1 g/kg DM compared to FLF. This can be expected to increase the energy

available to the animal as compared to feeding the FLF.

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Protein. Dried distillers grains with solubles are a rich protein source. However, decreased

concentration and digestibility of especially lysine have been reported in maize DDGS (Stein et al.,

2006) and wheat DDGS (Cozannet et al., 2010) compared to the original cereals, and large

variations between production sites have been reported (Cozannet et al., 2010). The current results

showed significant increases in the ATTD of CP in the three fermented diets, indicating that the

high concentration of NSP in DDGS, and the nutrient encapsulating effect of these polysaccharides,

can limit enzyme accessibility to the protein fraction. Unfortunately, a positive effect on CP

digestibility at the ileal level was not observed, limiting the nutritional impact of the results.

Phosphorus. The study by Widyaratne and Ziljstra (2007) showed a markedly higher P

digestibility in wheat DDGS compared to the parent grain; the activation of endogenous phytases in

wheat during the yeast fermentation process was indicated as the explanation for these results. The

current results showed that a further increase in P digestibility was possible by fermenting the

DDGS prior to feeding. This is in spite of the finding by Carlson and Poulsen (2003), reporting that

heat treatment reduces natural phytase activity in cereals, resulting in a slower rate of phytate

degradation. The current improvements indicate that phytase in DDGS was not inactivated during

the final drying and pelleting processes.

5. Conclusions

Although fermentation of DDGS as done in the current study did not result in high microbial

activity in the mixture compared to fermentation of compound feed, it did have an impact on the

digestibility of nutrients in pigs. Fermentation of DDGS increased AID of NSP, and ATTD of DM,

CP, P, and the NSP constituents glucose and uronic acids. The concentration of NSP in DDGS was

reduced by addition of CelXyl during fermentation, and both enzyme treatment increased ileal- and

total tract digestibility of NSP compared to n-FLF. In conclusion, increasing the digestibility of

DDGS in pigs seems to be possible by the use of fermentation and addition of NSP-degrading

enzymes.

Conflict of interest statement

The authors do not have any conflict of interests.

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Acknowledgements

The authors thank Vibe Glitsø from Novozymes A/S and Elijah Kiarie from DuPont Industrial

Biosciences-Danisco UK Ltd. for delivery of enzymes. We thank Karin Johansen and Mette

Lykkegaard Jørgensen for skilful assistance during animal trails, and we further acknowledge

skilful technical assistance from Karin Durup, Trine Poulsen, Thomas Rebsdorf, Mona S. Dinsen,

Gunhild Ladehoff, Lisbeth Märcher and Stina Greis Handberg.

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Table 1 Ingredient composition of the dieta.

Ingredient (g/kg, as is) Diet

DDGSb 600.0

Maize starch 359.0

Casein 15.0

Calcium carbonate 9.0

Calcium phosphate 8.0

L-Lysin-HCl, 99% 4.0

Sodium chloride 2.0

Vitamin-Mineral premixc 2.0

Cr2O3 2.0 a The diet was composed of 60% DDGS and 40% of a basal diet.

b Dried distillers grains with solubles (DDGS) was based on 80% wheat and 20% barley.

c Supplied per kilogram of diet: 130.1 g calcium; 2,100 IU vitamin A; 210 IU vitamin D3; 42.0 g

vitamin E; 38.2 g alpha-tocopherol ; 1.1 g vitamin B1; 1.1 g vitamin B2; 1.6 g vitamin B6; 10.5 mg

vitamin B12; 1.1 g vitamin K3; 5.3 g D-pantothenic acid; 10.5 g Niacin; 26.3 mg Biotin; 42.0 g

iron(II)sulphate; 105.0 mg calcium iodide; 7.5 g copper(II)sulphate; 21.0 g manganese oxide; 50.0 g

zinc oxide; 150.0 mg sodium selenite.

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Table 2 Microbial counts (log cfu/g) and concentration of organic acids (mmol/kg as is), ethanol

(mmol/kg as is) and biogenic amines (mg/kg DM) in DDGSa

Item DDGS SEM P-value Non-Fermb Fermc Ferm+

XylGlud Ferm+

CelXyle

Microbial counts

Enterobacteriaceae (<3.0) <3.0 <3.0 <3.0 <3.0 -

Lactic acid bacteria (<3.0) 8.9 8.9 8.8 0.05 0.50

Yeasts (<3.0) 7.0g 6.9g 7.8h 0.07 <0.001

Clostridium perfringens (<2.0) <2.0 <2.0 <2.0 <2.0 -

pH (3.9) 3.6 3.6 3.5 0.07 0.95

Organic acids

Lactic acid (24.8) 65.7gh 70.5g 60.2h 1.7 0.02

Acetic acid (2.9) 13.6g 22.4h 19.8h 0.7 <0.001

Succinic acid (4.6) 5.9g 6.1g 6.6h 0.09 0.005

Ethanol (0.4) 4.8g 7.5g 21.8h 0.04 <0.001

Biogenic aminesf

Putrescine (<1.5) 46.5g 39.0g 3.7h 4.0 <0.001 a Values are Least Square Means, n = 8 for microbial counts and pH; n = 4 for organic acids and

biogenic amines. Numbers in parenthesis indicate values not included in the statistical analysis, as

these were measured only in one sample (n = 1). Statistical analysis was not conducted on Entero-

bacteriaceae and C. perfringens, as all counts were below the detection level of 3.0 and 2.0 log

cfu/g, respectively.

b Non-fermented DDGS.

c Fermented DDGS.

d Fermented DDGS supplemented with 1 g enzyme mixture/kg DDGS of xylanase and β-

glucanase, (corresponding to 8000 U xylanase and 1000 U β-glucanase/kg DDGS). Enzyme

supplied by DuPont Industrial Biosciences-Danisco UK Ltd., Marlborough, Wiltshire, UK.

e Fermented DDGS supplemented with 1 g enzyme mixture/kg DDGS of cellulase and xylanase,

(corresponding to 600 U cellulose and 300 U xylanase/kg DDGS). Supplied by Novozymes A/S,

Bagsvaerd, Denmark.

f Cadaverine, tyramine and agmatine were not detected.

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g,h Within a row, means without a common superscripts differ (P < 0.05).

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Table 3 Analysed chemical composition (g/kg DM) of DDGSa and calculated chemical

composition (g/kg DM) of the dietary treatmentsb

Item DDGSc SEM P-value Non-Ferm Ferm Ferm+

XylGlu Ferm+ CelXyl

DM (%) (23.4) 24.1 22.7 22.9 2.2 0.89

CP (291.3) 296.0i 296.0i 304.1j 0.7 <0.001

P (6.8) 7.2 7.2 7.4 0.1 0.42

Non-Starch Polysaccharidesd

Total (329.8) 341.8i 339.2i 312.9j 2.0 <0.001

Rhamnose (0.21) 0.25 0.24 0.26 0.006 0.07

Fucose (0.14) 0.19 0.19 0.19 0.008 0.73

Arabinose (60.3) 57.5ij 57.1i 58.6j 0.4 0.47

Xylose (100.3) 101.8i 94.9j 97.7ij 1.2 0.008

Mannose (18.7) 18.0i 18.3i 19.3j 0.2 0.003

Galactose (12.3) 11.2i 11.3i 11.7j 0.09 0.003

Glucose (129.5) 142.8i 146.8i 115.2j 1.4 <0.001

Uronic acids (8.2) 10.0 10.3 9.9 0.1 0.20

Item Treatments Non-FLFe FLFf XylGlug CelXylh

CP 192.6 194.2 194.1 199.0

P 5.2 5.3 5.3 5.5

Non-Starch Polysaccharidesd

Total 197.7 205.1 203.5 187.8

Rhamnose 0.1 0.1 0.1 0.2

Fucose 0.1 0.1 0.1 0.1

Arabinose 36.2 34.5 34.3 35.2

Xylose 60.3 61.1 57.0 58.6

Mannose 11.2 10.8 11.0 11.6

Galactose 7.4 6.7 6.8 7.0

Glucose 77.7 85.7 88.1 69.1

Uronic acids 4.9 6.0 6.2 6.0

a Values are Least Square Means, n = 4. Numbers in brackets indicate values not included in the

statistical analysis, as these were measured only in one sample (n = 1).

b Calculations based on the analysed composition in the DDGS (60% of the final diet) and the

basal diet (40% of the final diet).

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c For detailed description of the DDGS and enzymes see footnote Table 2.

d NSP with DP ≥ 3.

e Non-fermented DDGS mixed with the basal diet immediately before feeding.

f Fermented DDGS mixed with the basal diet immediately before feeding.

g Fermented DDGS supplemented with XylGlu and mixed with the basal diet immediately before

feeding.

h Fermented DDGS supplemented with CelXyl and mixed with the basal diet immediately before

feeding.

i,j Within a row, means without a common superscripts differ (P < 0.05).

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Table 4 Microbial counts (log cfu/g as is) and organic acid concentration (mmol/kg as is) in ileal

contents of pigs fed the experimental treatmentsa

Item Treatmentb SEM P-values

n-FLF FLF XylGlu CelXyl Diet Period D x P

Microbial counts

Enterobacteriaceae 6.8 6.6 6.0 6.2 0.4 0.16 0.43 0.20

Lactic acid bacteria 7.6c 8.2cd 8.1cd 8.4d 0.2 0.05 0.30 0.81

Yeasts <4.1c(1) 5.3d 5.8d 6.0d 0.2 <0.001 0.80 0.60

C. perfringens <4.3(2) <4.2(2) <4.5(2) <4.4(2) 0.3 0.87 <0.001 0.65

Total anaerobes 8.2 8.5 8.2 8.5 0.1 0.37 <0.001 0.40

Organic acids

Lactic acid 6.1 5.6 3.3 3.2 1.3 0.32 0.07 0.59

Acetic acid 6.2c 9.9d 9.2cd 8.3cd 0.8 0.02 0.37 0.22

Formic acid 4.4 6.2 5.7 5.0 0.5 0.14 0.26 0.31

DM (%) 10.9 11.9 12.1 11.7 0.3 0.06 0.008 0.02 a Values are Least Square Means, n = 8, except for CelXyl n = 7. Values in brackets indicate the

number of samples with values below detection level. The minimum detection level (log cfu/g) was

3, except for C. perfringens, which was 2. The < symbol indicates that some observations from

which the mean was calculated had values below detection levels. When no colonies were detected

on the plates, the detection level was applied and used to make the calculations. Therefore, the real

mean value is lower than that reported.

b For detailed description of the treatments see footnote Table 3.

c,d Within a row, means without a common superscripts differ (P < 0.05).

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Table 5 Microbial counts (log cfu/g as is), organic acid concentration (mmol/kg as is), and indolic compound concentration (µmol/kg as is)

in faeces of pigs fed the experimental treatmentsa

Item Treatmentsb SEM P-values

n-FLF FLF XylGlu CelXyl Diet Period D x P

Microbial counts

Enterobacteriaceae 7.4 7.1 6.9 6.9 0.2 0.33 0.87 0.16

Lactic acid bacteria 9.3e 8.5f 8.6f 8.9ef 0.1 0.001 0.22 0.41

Yeasts <3.9(1) <3.7(2) 4.0 4.2 0.3 0.70 0.86 0.95

C. perfringens 3.8 3.6 <4.2(1) 3.9 0.2 0.37 <0.001 0.56

Total anaerobes 9.5e 9.0f 8.8f 9.3ef 0.1 0.006 <0.001 0.40

Organic acids

Acetic acid 41.2 43.4 44.1 41.6 2.2 0.77 0.16 0.14

Propionic acid 15.3 15.7 14.8 14.1 1.1 0.76 0.53 0.35

Butyric acid 11.1 11.8 10.0 8.7 0.5 0.006 0.009 0.03

Valeric acid 3.3 3.4 3.4 3.9 0.2 0.27 0.10 0.24

Total acidsc 70.8 74.3 72.4 68.3 3.8 0.73 0.15 0.14

BCFAd 2.4 2.6 2.4 2.5 0.16 0.90 0.002 0.02

Indolic compounds

Skatole 227.9 172.6 162.2 203.6 22.4 0.22 0.48 0.04

Indole 49.5 58.9 56.3 65.7 8.5 0.58 0.03 0.40

DM (%) 22.0e 22.9ef 22.4e 24.0f 0.4 0.01 0.2 0.08

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a Values are Least Square Means, n = 8, except for CelXyl n = 7. Values in brackets indicate the number of samples with values below

the detection levels. The minimum detection level (log cfu/g) was 3, except for C. perfringens, which was 2. The < symbol indicates that

some observations from which the mean was calculated had values below the detection levels. When no colonies were detected on the

plates, the detection level was applied and used to make the calculations. Therefore, the real mean value is lower than that reported.

b For detailed description of the treatments see footnote Table 3.

c Acetic acid + propionic acid + butyric acid + valeric acid

d Branched chain fatty acids.

e,f Within a row, means without a common superscripts differ (P < 0.05).

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Table 6 Apparent ileal digestibility (AID) and apparent total tract digestibility (ATTD) (%DM) of

dry matter, crude protein, phosphorus, and non-starch polysaccharides (NSP) in pigs fed the

experimental dieta

Item Treatmentsb SEM P-values

n-FLF FLF XylGlu CelXyl Diet Period D x P

AID

DM 63.4 64.4 65.8 66.7 0.8 0.07 0.60 0.26

CP 68.5 67.9 68.6 68.7 1.0 0.92 0.30 0.15

P 34.8 44.7 46.2 45.9 3.7 0.14 0.07 0.20

Non-starch polysaccharidesc

Total 7.7d 15.6e 17.9e 21.5e 1.7 <0.001 0.05 0.23

Arabinose 9.3 7.2 6.3 1.6 2.8 0.29 0.58 0.26

Xylose 11.8d 11.8d 21.0de 24.5e 2.9 0.01 0.13 0.67

Mannose 13.5 6.4 6.6 2.4 3.4 0.18 0.80 0.42

Galactose 7.8 3.7 1.3 -2.0 3.7 0.33 0.45 0.68

Glucose 4.0d 23.5e 22.9e 32.1f 1.1 <0.001 <0.001 0.03

Uronic acids 6.8d 26.0e 29.1e 24.8e 1.9 <0.001 0.003 0.01

ATTD

DM 76.9d 78.4e 79.0e 79.3e 0.3 <0.001 0.10 0.11

CP 69.4d 73.0e 73.5e 74.6e 0.6 <0.001 0.20 0.31

P 44.2d 52.7e 57.2e 55.0e 2.0 0.003 0.32 0.10

Non-starch polysaccharidesc

Total 58.0d 60.2de 61.2e 62.7e 0.6 0.001 <0.001 0.17

Arabinose 46.1 43.6 45.5 46.4 1.2 0.35 0.003 0.09

Xylose 59.7d 61.0d 62.8de 63.9e 0.7 0.004 <0.001 0.06

Mannose 88.2 88.6 88.5 89.1 0.3 0.23 <0.001 0.09

Galactose 64.0 62.0 61.7 64.4 0.8 0.09 0.002 0.53

Glucose 59.5d 64.2e 64.6e 66.4e 0.6 <0.001 <0.001 0.16

Uronic acids 35.4d 49.4e 48.6e 50.8e 0.9 <0.001 <0.001 0.54 a Values are Least Square Means. n = 8, except for CelXyl n = 6. Only NSP monomers with a

concentration above 0.5 g/kg feed were included.

b For detailed description of the treatments see footnote Table 3.

c Digestibility for the XylGlu and CelXyl treatments were calculated using the values analysed in

the FLF treatment (total-NSP = 225.9 g/kg; arabinose = 34.5 g/kg; xylose = 61.1 g/kg; mannose =

10.8 g/kg; galactose = 6.7 g/kg; glucose = 106.5 g/kg; and uronic acids = 6.0 g/kg [Table 3]), in

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order to quantifying the impact of the enzyme mixture exerted in the feed before being offered to

the animals and that exerted within the GI-tract.

d-f Within a row, means without a common superscripts differ (P < 0.05).

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Table 7 Disappearance of NSP (g/kg DM) during fermentation prior to feeding and within the

animala

Site n-FLF FLF XylGlu CelXyl

Feed 0 0 1.6 17.3

Small intestine 15.2 32.0 35.1 26.8

Colon 99.5 91.5 88.8 84.5

Total 114.8 123.5 125.5 128.6 a Values calculated from dietary concentrations of NSP in Table 3 and from digestibility

coefficients in Table 6. For detailed description of the treatments see footnote Table 3.

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9. General discussion

The following discussion aims to underline the major findings of the studies presented in chapter

6 - 8, draw lines between the studies, and discuss implications of the findings in the context of

previous knowledge and practical considerations.

9.1. Identifying enzymes with an effect on non-starch polysaccharides and crude protein

The first aim of this thesis, addressed in chapter 6 (manuscript 1), was to evaluate the ability of

different commercial and experimental enzymes to disrupt non-starch polysaccharides (NSP), either

by reducing the concentration of total-NSP, or by increasing the solubility of NSP, and as a

consequence to increase the solubility of crude protein (CP). This was examined in two in vitro

fermentation experiments, one with rapeseed cake (RSC) and one with dried distillers grains with

solubles (DDGS). Addition of GluXylPec to RSC showed very promising results, as this enzyme

mixture markedly reduced the concentration of both total and insoluble NSP during both, the initial

phase of fermentation and later, in the more stable, steady state phase. The most abundant cell wall

polymers in rapeseed co-products are xyloglucans, xylans, pectin and arabinoxylan (AX) (Ghosh et

al., 2004; Egües et al., 2010; Pustjens et al., 2013). With the GluXylPec enzyme mixture having β-

glucanase, xylanase and pectinase activity, it can be assumed to have an effect on the major NSP

structures in RSC. When looking at the reduction in monomeric residues, a broad effect of the

enzyme mixture is also indicated, with reduction in arabinose, glucose, uronic acids, xylose and

galactose.

The main NSP in DDGS based on wheat are AX, cellulose and β-glucan (Bach Knudsen, 1997;

Souffrant, 2001; Pedersen et al., 2014). Testing the impact of enzymes on DDGS showed a small

but significant reduction in total NSP for all six enzyme mixtures during the initial phase of

fermentation. Three of the enzyme mixtures (CelXyl, XylGluPec and Xylmix) further showed a

clear reduction in soluble NSP, while the other three enzyme mixtures (XylGluB, Xyl and

XylGluA) showed a numerical reduction in insoluble NSP. The effect of the enzyme mixtures was

primarily observed on the xylose residue, and to a lesser extent on the arabinose residue, indicating

that the AX had been disrupted; while the effect on the glucosidic polysaccharides (also originating

from the 20 % barley in DDGS) were low.

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These overall findings are in line with in vivo studies with pigs and poultry primarily showing

improved digestibility and performance by addition of xylanase and/or β-glucanase (Zijlstra et al.,

2010; Adeola and Cowieson, 2011; Kiarie et al., 2012; Rosenfelder et al., 2013).

Phytases were also tested on RSC, as this enzyme group has in some cases resulted in increased

growth performance and ileal digestibility of AA and protein (Beers and Jongbloed, 1992; Ketaren

et al., 1993; Kiarie et al., 2010); which are nutrients that can be negatively affected by high levels of

NSP in diets. The treatment Phy, with phytase alone, showed a significant increase in protein

solubility during the initial phase of fermentation (P < 0.01). This may be explained by protein-

complex formation disrupted by Phy (Selle and Ravindran, 2008). A similar effect was however not

seen in samples with combined addition of phytases and carbohydrases, although the doses were the

same. The reason for this is not evident. It may be argued that all positive side-effects of phytases

would not be detected in vitro, as some of the mechanisms behind the positive effect of phytases on

CP or amino acid (AA) digestibility are to be found in a negative effect of phytate on AA flow and

intestinal uptake (Selle and Ravindran, 2008).

It was found that the enzymes, especially those tested on DDGS, resulted in a significantly lower

concentration of total-NSP than the control, already at time zero. This indicates a fast effect of the

enzymes. However, it should be pointed out that in samples taken at Time 0, the enzymes had had

some time to exert their action before sampling. Samples collected at Time 0 had been stirred for

30 min with enzymes added prior to collection, to obtain sufficient mixing. Furthermore, a lag-time

during the collection from the eight fermentors and until complete freezing of the samples could

also affect the results. A similar fast enzyme response was observed in the RSC samples analysed

for phytate-P at Time 0 after backslopping (168 h). A fast response of phytases has previously been

reported (Carlson and Poulsen, 2003; Blaabjerg et al., 2010a), showing the greatest degradation rate

of phytate-P being exerted in the initial two hours of soaking. In order to minimize the action of

enzymes at Time 0, enzymes could be added after the initial 30 min of mixing, immediately before

sampling; and the lag-time during sampling and freezing could be eliminated by immersing the

samples in liquid nitrogen immediately after collection. For the present purpose, the procedure used

is valid and the results show that the mentioned enzymes have a high activity very shortly after

having been added to the liquid feed (LF).

The effects observed in vitro on NSP solubilisation by GluXylPec on RSC and by several

enzymes on DDGS, cannot be assumed to result in positive effects on digestibility of NSP and other

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nutrients in vivo. It is a fact that solubilisation of NSP is a prerequisite for the polysaccharides to be

digested in pigs (Bach Knudsen, 2014). However, not all soluble NSP can be utilized by pigs, and

we do therefore not know if the soluble NSP measured in vitro will be digestible. In the same way,

a reduction in total-NSP may produce both indigestible and digestible oligosaccharides along with

digestible monosaccharides. Similarly, soluble protein cannot be directly related to increased

digestibility of protein. A study by Pastuszewska et al. (2003) however showed that increased

protein solubility in RSC, measured in a sodium borate buffer, similar to the one used in the present

investigations, was correlated with increased biological value of N (proportion of N retained to N

absorbed) in rats.

Other important factors differ between the current in vitro study of enzymes and the performed

in vivo experiments. The temperature during in vitro fermentation was set to 30 °C. This was done

as a compromise between the fact that most commercial feed enzymes have temperature optima

near 40 °C, and the fact that feed rarely is heated in practice during fermentation, as this represents

an additional cost. Hence, the practical temperature during fermentation will vary much with

geographical position. It was also decided to do the in vitro fermentations on a single feed

ingredient alone, rather than on the whole diet. The in vitro study had the aim of screening for

promising enzymes, and as RSC and DDGS were the ingredients representing the greatest

nutritional challenges in relation to NSP content, the clearest results were expected on these

ingredients alone.

The enzymes chosen to be tested in vivo were GluXylPec for diet containing RSC, and XylGluB

and CelXyl for diet containing DDGS. The enzymes β-glucanase, xylanase and pectinase are

expected to disrupt xyloglucans, xylans and AX, and pectin respectively; which are cell wall

polysaccharides present in high concentrations in RSC. In DDGS, the enzyme xylanase is expected

to disrupt AX, while β-glucanase and cellulase are both expected to have an effect on β-glucan and

cellulose present in DDGS.

9.2. In vivo digestibility studies on alternative ingredients for pigs

Two digestibility studies on pigs with diets composed of alternative ingredients have been

performed. The study described in chapter 7 (manuscript 2) included a diet based on the co-product

RSC and the locally grown crops high-moisture maize (HMM) and peas. In this study, it was

decided to test the enzyme mixture GluXylPec, as this showed a marked reduction of both total- and

insoluble NSP during fermentation of RSC, and at the same time, it was able to increase solubility

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of protein. The study described in chapter 8 (manuscript 3) included a diet based on the bioethanol

co-product DDGS (from 80 % wheat and 20 % barley) and supplemented with maize starch and

casein. As the in vitro study on DDGS did not indicate one clear enzyme candidate it was decided

to test two enzyme mixtures; XylGlu(B), showing a decrease in total- and insoluble NSP, and

CelXyl, showing a decrease in total- and soluble NSP. Furthermore, in this case, only the DDGS

was fermented and the remaining ingredients added immediately before feeding, in contrast to the

whole diet being fermented in the study described in manuscript 2.

In spite of the large differences in the diets formulated in the two studies, the overall concept of

investigating the effect of fermentation and enzyme addition on digestibility of NSP-rich diets was

the same. Hence, in the following, similarities and differences between the two studies will be

discussed together.

9.2.1. Effect of fermentation and enzyme addition on diet/ingredient composition

Non-starch polysaccharides. In both studies, a reduction in the dietary concentration of NSP by

addition of enzyme mixtures during fermentation was measured. This demonstrated that the

observed effects on the single ingredient RSC in vitro could also be found in compound feed, and

that a lower incubation temperature did not inhibit the enzyme activity (approx. 20 °C in the in vivo

studies vs. 30 °C in the in vitro studies). Differences in the effect of the enzymes on the content of

the specific residual monomers could however be detected. A marked reduction of uronic acid

content was measured in RSC fermented with GluXylPec, while the reduction of this monomer was

small in the diet containing RSC, HMM and peas. The effect on uronic acids can reflect GluXylPec

having an effect on pectin polymers, abundant in RSC. Pectin is also abundant in peas, while maize

contains only small amounts of pectin (Bach Knudsen, 1997). The smaller effect of GluXylPec

addition on uronic acids in the diet could be explained by a high level of acetic pectin structures in

peas, which have been related to low digestibility, while pectin in rapeseed primarily are the more

soluble arabinogalactans (Bach Knudsen, 2014).

In the DDGS, XylGlu reduced the xylose residue, which was similar to the observation made in

vitro, while CelXyl primarily had an effect on the glucose residue. This effect on glucose was more

pronounced than that observed in vitro. Because only the DDGS of this diet was fermented, the

result was expected to be the same in vitro and in vivo, indicating that the lower incubation

temperature used for the in vivo study had favoured the cellulase activity in this enzyme mixture.

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Different studies have investigated the energy value of pentoses and uronic acids in poultry and

pigs (Longstaff et al., 1988; Schutte, 1990; Verstegen et al., 1997). The data reported indicate that

the nutritional advantage of hydrolysing NSP to constituent monomers by enzyme addition to dry

feed might be minimal, as the energy value of pentoses and uronic acids seem to be in the same

order as that obtained from short chain fatty acids (SCFA) produced by microbial fermentation of

NSP in the hindgut (Jørgensen et al., 1997). This furthermore could indicate a possible increased

energy utilization by adding enzymes during fermentation, prior to feeding, compared to adding

enzyme to dry feed. This follows from the microbial population in the feed utilising NSP monomers

to produce energy-rich metabolites as lactic acid and ethanol, which can be digested by pigs.

Fermentation alone did not result in a dietary reduction of NSP in either of the in vivo studies,

although this has previously been reported by fermenting wheat, wheat millrun, barley or compound

feed (Christensen et al., 2007; Jørgensen et al., 2010a; Sholly et al., 2011; l'Anson et al., 2013).

According to the mentioned reported results, an effect of fermentation would be expected for the

DDGS, as the DDGS used in our studies was based on wheat and barley, which were used in the

mentioned studies. Differences in the analytical methods for NSP determination might explain this

difference (this aspect is discussed below). This is supported by fermentation alone resulting in a

significantly improved apparent ileal digestibility (AID) of NSP in pigs fed the DDGS diet. The

diet containing RSC, HMM and peas had a very different ingredient profile to that used in the

referred studies, what probably explains the different results obtained, however difference in

specific enzymes and dosage also play a role.

In relation to NSP determination, it should be mentioned that this component was not analysed

following the same procure in all three studies. In the in vitro study (manuscript 1), and in the in

vivo study testing a diet based on RSC, HMM, and peas (manuscript 2), the samples were analysed

for total-, insoluble- and soluble NSP as described by Bach Knudsen (1997). This was done to

examine the overall potential of these enzymes; both on their ability to degrade NSP to small

molecules (degree of polymerisation < 10) and on their ability to increase solubility. When testing

the impact of the treatments on the diet based on DDGS (manuscript 3) it was taken into account

that a significant amount of NSP in DDGS were low molecular weight – non-digestible

carbohydrates (LMW-NDC) (67 - 84 g/kg DM, own data), and therefore the method was modified

to include these LMW-NDC in the final result by using direct sulphuric acid hydrolysis without

prior removal of starch, LMW-NDC and sugars, as described by Kasprzak et al. (2012). Sugars and

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starch were also determined in the diets in order to correct the NSP results by subtracting these

values.

Microbial activity. The activity of the microbiota during fermentation of the diets is important to

consider, as it greatly affects the biosafety of the feed and also the gastrointestinal (GI)-health of

the animals. Whereas complete fermentation improves gut health (Missotten et al., 2010; Canibe

and Jensen, 2012), incomplete fermentation has previously shown to have a negative effect on

animal health, as was e.g. the case in the study by van der Wolf et al. (1999), who found increased

numbers of Salmonella-infected pigs by feeding LF soaked in the trough for a few hours compared

to pigs fed acidified or fermented diets. Furthermore, the metabolites produced by the

microorganisms affect the energy value of the diets.

The microbial profiles in the two alternative diets developed differently. The diet based on RSC,

HMM and peas showed characteristics of a microbiologically good quality fermented feed as has

been reported when fermenting standard grower diets based on wheat, barley and soybean meal

(SBM) (Mikkelsen and Jensen, 2000; Van Winsen et al., 2001; Canibe and Jensen, 2003). This

involved increased population of lactic acid bacteria (LAB), increased concentration of lactic acid,

reduced pH and reduced growth of Enterobacteriaceae. A beneficial health effect was also

indicated by a tendency towards reduced Enterobacteriaceae population in ileum and faeces of the

animals fed this diet. The addition of GluXylPec further increased microbial activity, revealed by an

increased concentration of lactic- and acetic acid, and a further reduction of the pH in the fermented

mixtures. This increased microbial activity was most likely a result of a higher amount of available

substrates as a result of the NSP disruption to smaller carbohydrates by the enzyme mixture. The

acetic acid concentration of the fermented liquid feed (FLF) added enzymes reached a level above a

proposed maximum level of 30 mmol/kg diet (Brooks et al., 2003a; Brooks et al., 2003b; Brooks,

2008), which has been advised due to its role negatively affecting palatability. More recent studies

have however shown no negative effect on feed intake and growth performance of pigs fed a cereal

based diet containing up to 150 mmol acetic acid/kg (Rudbäck, 2013). The data of Canibe et al.

(2010) also indicated that relatively high levels of acetic acid need to be reached in order to

significantly affect feed intake.

The fermented DDGS showed a very different microbial development. The amount of LAB and

lactic acid was elevated compared to the non-fermented DDGS, but did not reach levels measured

in fermented standard grower diets (Canibe et al., 2007a; Missotten et al., 2010; Canibe and Jensen,

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2012) or in the diet based on RSC, HMM and peas. The pH of the DDGS was at a low level (3.6) in

the raw product, which was the most likely cause of the general lower microbial activity during

fermentation. The pH of DDGS can be explained by the addition of sulphuric acid during

production of this product (Vohra et al., 2014).

Ethanol production. An observation made in the two experimental diets was that in the treatments

where NSP concentrations were reduced, the yeast population was increased and ethanol production

likewise. In the fermented treatment added the enzyme mixture (FLF+enz) in manuscript 2, a

concentration of 49.9 mmol/kg ethanol was measured (10.9 mmol/kg in the fermented treatment

without added enzyme, FLF), while in manuscript 3, the concentration in the ferm+CelXyl DDGS

alone was 21.8 mmol/kg (7.5 mmol/kg in the fermented DDGS without enzymes), both

significantly increased compared to the corresponding fermented treatments (P < 0.001). This

indicates that yeasts thrive on the substrate resulting from NSP degradation. As there is a high

diversity in the yeast strains found in FLF (Olstorpe et al., 2008), the implications of an increased

yeast population is still unclear. Similar to acetic acid, palatability has also been postulated to be

reduced by ethanol in feed (Plumed-Ferrer and von Wright, 2009b), although specific data on this

has not been published. A small remark can be made here, only to be used as an observation. In our

first in vivo study, it was observed that the pigs, during the first two days of the adaption period,

had less feed refusal when fed the FLF+enz diet (49.9 mmol ethanol/kg) compared to the FLF diet

(10.9 mmol ethanol/kg), indicating that palatability was not impaired by increased ethanol

concentration.

Practical implications of ethanol in the diets should also be considered. Ethanol production

results in a concurrent production of CO2, which may give technical challenges in the pipeline

systems of LF, as blocks may form (Plumed-Ferrer and von Wright, 2009a). Whether the amounts

of CO2 produced here will cause formation of blocks in the pipeline systems cannot be elucidated. It

was calculated that the concentration of 49.9 mmol ethanol/kg corresponded to pigs consuming one

beer per day.

The production of ethanol has also a consequence for the energy value of the diets. Ethanol itself

is a high energy compound, but energy is lost to CO2 during its production. A study on humans has

however shown that the metabolizable energy was the same when 5 % of the total daily energy

intake came from ethanol compared to starch (Rumpler et al., 1996).

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Biogenic amines. Fermenting the diets in both studies resulted in an increased concentration of

biogenic amines. Biogenic amines are produced by the decarboxylation of free AA, and besides

reducing the concentration of AA in the diets, high levels of biogenic amines have also been related

to toxic effects and reduced palatability in the feed (Brooks et al., 2001). Decarboxylation of AA to

biogenic amines is currently considered one of the major nutritional disadvantages in feeding FLF,

as it has been reported in several studies (Pedersen, 2001; Pedersen et al., 2002; Niven et al., 2006;

Canibe et al., 2007b). A lower concentration of biogenic amines was observed in the treatments

added enzymes. This result was observed in both in vivo studies, with the reduction in the diet based

on RSC, HMM and peas however being only numerical. In the ferm+CelXyl DDGS, the reduction

of putrescine was almost complete from 46.5 mg/kg DM in ferm DDGS to 3.7 mg/kg DM in

ferm+CelXyl DDGS (P < 0.001). The reducing effect of enzyme addition on biogenic amine

formation can be hypothesised to be related to the increased amount of carbohydrates being made

available, along with increased microbial activity, leading to an increased incorporation of AA in

the microbial biomass. Amino acids would hereby be less available for decarboxylation. If this is

the case, a part of the AA would still be available to the pig by digestion of the microbial protein,

and the reduced palatability and toxic effect of the biogenic amines would be reduced. This effect of

enzyme addition during fermentation has to our knowledge not been reported previously, and

deserves further experimental attention.

9.2.2. Digestibility of the experimental diets

Non-starch polysaccharides. Based on the NSP composition of the diets measured in the two in

vivo studies (manuscript 2 and 3), it was decided to take into account the effect of the enzymes in

the calculations of NSP digestibility. Addition of GluXylPec to the diet based on RSC, HMM and

peas and addition of CelXyl to the DDGS diet, resulted in a significant reduction of NSP. Using

these dietary values, lower for the treatments added enzymes, and according to the equation used

for digestibility calculations, would underestimate the NSP digestibility of those treatments. In

order to account for the joined actions exerted by the enzymes on NSP in the feed prior to feeding

and in the GI-tract, the NSP values from the respective fermented diets without enzyme addition

were used in the calculations. The term digestibility is still applied to the results, although it

represents the combined disrupting actions on NSP by the enzymes and by the digestible processes

in the GI-tract. Sholly et al. (2011) reported a significant reduction in NSP during fermentation of

wheat or barley. However, the NSP digestibility of the corresponding diets in pigs were unaffected

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or numerically reduced. These authors calculated digestibility using the NSP values of each diet,

which, following the argumentation above, could partially explain their results. This underlines the

importance of considering the calculation method when pre-feeding modifications have been

performed on a diet.

In the diet based on RSC, HMM and peas, it was found that while fermentation alone resulted in

numerical increases of AID of total-, insoluble- and soluble NSP, the addition of GluXylPec further

increased AID to significant levels (31.1 % AID of total-NSP in pigs fed FLF+enz, compared to 9.2

% in pigs fed n-FLF) and tended to increase apparent total tract digestibility (ATTD) of total- and

insoluble NSP. On the DDGS diet fermentation resulted in a significant improvement of AID of

total-NSP (15.6 % in pigs fed FLF, compared to 7.7 % in pigs fed n-FLF), while the effect on

ATTD was numerical. Both enzyme mixtures further increased AID and increased ATTD of total-

NSP to a significant level, with CelXyl having the greatest effect. Examination of the monomeric

residues revealed that fermentation primarily increased digestion of polysaccharides composed of

glucose and uronic acids, while enzyme addition primarily increased digestion of xylose-rich

polysaccharides. This shows that fermentation and enzyme addition, in the case of DDGS, are two

strategies that complement each other, as they increase digestibility of different parts of the cell wall

polysaccharides. Studies examining the effect of fermentation or enzyme addition on the specific

NSP residues are limited, Sholly et al. (2011) however found, that the glucose residue from NSP

was the most affected when fermenting barley or wheat. The fact that XylGlu had an effect on

digestibility, although an effect on the dietary level of NSP was not observed, indicated that this

enzyme could have disrupted or solubilized NSP in the diet, though not to detectable levels, easing

the digestion process in the GI-tract. It is also possible that the activity of the enzyme increased

after the feed was ingested, due to higher temperature within the animal. The positive effect of

enzyme addition on digestibility of NSP is not a new finding, as it has been reported several times

when enzymes were added to dry feed (Cowieson et al., 2006; Kiarie et al., 2007; Zijlstra et al.,

2010). Studies on addition of NSP-degrading enzymes during fermentation are however scarce, and

in this context improved NSP digestibility has not been reported. L'Anson et al. (2013, 2014)

examined the NSP digestibility of a wheat-based diet and a wheat millrun diet in weaner pigs when

combining fermentation and addition of xylanase, but found no positive effect on NSP digestibility

nor on performance.

The overall conclusion of these results is that the hypothesized improved nutritional value

obtained in vitro with RSC and DDGS, by reduced NSP concentrations, was confirmed in vivo by

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increased NSP digestibilities. This shows promising potential of this feeding strategy based on

fermentation and concurrent enzyme addition.

Phosphorus. Approximately 50 % reduction in phytate-P was measured in the diet based on RSC,

HMM and peas as a result of fermentation. The nutritional importance of this was confirmed in vivo

with a significant increased AID of phosphorus (P) and a large numerical increase in ATTD.

Similar improved digestibility results by fermentation were obtained for the DDGS diet, where

dietary phytate-P levels were however not measured. These results show that fermentation had an

additional effect on phytate-P to that occurring in the gastrointestinal tract, resulting in a final

improved digestibility compared to the same non-fermented diet. This effect of fermentation can, in

the DDGS diet, be explained by mobilization of endogenous phytases originating from wheat and

barley (Carlson and Poulsen, 2003). The diet based on RSC, HMM and peas was added phytase, as

the ingredients had low concentrations of endogenous phytase, hence in this diet, the effect of

fermentation was a response to a prolonged time for the exogenous phytase to hydrolyse phytate-P

(Blaabjerg et al., 2010a).

Although different studies cannot be compared directly, it was observed that the AID of P of the

two non-fermented diets was quite different, the locally grown diet showing 19.5 % AID, while the

DDGS diet showed 34.8 %. DDGS has previously been reported to show high digestibility of P,

being a result of the soaking/fermentation processes during bioethanol production (Rojas et al.,

2013).

Crude protein. It was hypothesised that fermentation could positively affect digestibility of CP, as

phytate-P reduction has been related to increased ileal digestibility of AA and protein (Ketaren et

al., 1993; Kiarie et al., 2010). It was furthermore hypothesised that the addition of NSP-degrading

enzymes during fermentation would have a positive side-effect on digestibility of protein. As

enzymes disrupt the cell wall network, proteins in NSP-rich tissue may be released and become

available for digestion (Nortey et al., 2007b). The disruption of NSP would also change the

physico-chemical characteristics in the GI-tract, which have been reported to negatively affect ileal

excretion of N, i.e. viscosity and water holding capacity (Larsen et al., 1993; Leterme et al., 1998).

In spite of this, an effect on AID of CP was not observed in neigther of the two in vivo studies. The

most likely explanation for this is that the effect exerted on phytate and NSP was too little at this

site to affect protein digestibility.

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Studies have also shown that the extent to which NSP affect protein digestibility depends on the

specific type of NSP, i.e. the negative effect of hemicellulose and pectin is higher than that of

cellulose (Souffrant, 2001). This may very well be the reason why the solubility of protein

increased in vitro in pure RSC during fermentation with GluXylPec (manuscript 1), while a

corresponding effect was not observed when the RSC was mixed with HMM and peas to make the

final diet for the in vivo study. The NSP residues, uronic acid and arabinose, originating from pectin

and hemi-cellulose structures, were respectively 55 and 42 % more abundant in the pure RSC than

in the formulated diet; hence an effect by fermentation and enzyme addition would be easier

detectable in the former. It is also possible that other factors affect the digestibility of protein in the

diets, leaving the effect from reduction of NSP and phytate insignificant. This could e.g. be the

processing of DDGS, where several heating steps have shown to negatively affect protein and AA

digestibility (Cozannet et al., 2010).

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10. Conclusions

The three papers on which this Ph.D. thesis is based provide significant new knowledge on the

nutritional aspects of the combined use of fermentation and enzyme addition to ingredients or diets

containing high amounts of NSP. The main results of the studies are listed in the following.

Rapeseed cake and a diet based on RSC, HMM and peas

• The in vitro study showed that the enzyme mixture of β-glucanase, xylanase and pectinase

(GluXylPec) resulted in a significant reduction of total- and insoluble NSP during fermentation

of RSC, along with increased concentration of soluble CP.

• Fermenting a diet based on the locally grown ingredients, RSC, HMM, and peas, resulted in

FLF of good microbial quality, as seen by increased LAB population, increased concentration of

lactic acid, reduced pH and a trend towards reduced Enterobacteriaceae counts.

• The concentration of total-, insoluble- and soluble NSP was significantly reduced by addition of

GluXylPec during fermentation of the diet based on RSC, HMM and peas. Fermentation alone

numerically improved AID of total-, insoluble- and soluble NSP, and ATTD of total- and

insoluble NSP. Addition of GluXylPec further improved these parameters to significant levels.

GluXylPec was also able to improve ATTD of DM, while a positive effect on AID of CP was

not detected.

Dried Distillers Grains with Solubles and corresponding diet

• The in vitro study showed that the enzyme mixture of cellulase and xylanase (CelXyl)

significantly reduced the concentration of total- and insoluble NSP during fermentation of

DDGS, while the enzyme mixture of xylanase and β-glucanase (XylGlu) significantly reduced

total NSP and numerically reduced insoluble NSP concentrations.

• The initial low pH of DDGS resulted in a relatively low microbial activity during fermentation.

Total NSP content was significantly reduced by addition of CelXyl during fermentation of

DDGS.

• Fermentation improved AID of total-NSP and ATTD of DM in pigs fed the DDGS diet, while

addition of XylGlu and CelXyl during fermentation further improved AID of NSP and

improved ATTD of NSP significantly. AID of CP was not improved.

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General findings

• Yeast population and ethanol production was increased in diets where enzyme addition had

reduced the NSP concentration.

• Biogenic amine formation was increased by fermentation, but reduced by addition of enzymes

able to reduce NSP concentration.

• Phosphorus digestibility was improved by fermentation of both diets.

The overall conclusion is that the nutritional value of alternative diets with NSP-rich ingredients

can be improved by fermentation and concurrent addition of NSP–degrading enzymes.

Fermentation improves P and NSP digestibility, while enzyme addition further improves NSP

digestibility.

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10.1 Perspectives

From the results obtained in the studies included in this thesis, it is clear that both, the use of

fermentation and enzyme addition, offer nutritional improvements to diets containing NSP-rich

ingredients. It is also clear that the two strategies offer different advantages and hence complement

each other. The primary strengths of fermentation of these diets were found in the effect on

digestibility of P and on the improved biosafety of the feed and concurrent effect on GI-health. The

primary strengths of enzyme addition were the reduction of NSP in the diets, and the corresponding

improved digestibility of NSP. Whether the efficacy of the enzyme mixtures used was higher when

added during fermentation, as practiced here, compared to addition to dry feed cannot be answered

though. A study by Christensen et al. (2007) compared the effect of adding a xylanase and β-

glucanase mixture both to a dry and a fermented diet based on wheat, barley, wheat bran and SBM.

The concentration of NSP after in vitro digestion of the treatments showed that the addition of the

enzyme mixture to dry feed reduced NSP by 21.2 %, while addition during 8 h fermentation

reduced NSP by 36.4 %. The reduction by fermentation alone was 24.0 %. This indicates the

potential for obtaining a further benefit of NSP-degrading enzymes if added during fermentation of

LF. A similar in vivo study to those conducted in this thesis could be designed to quantify the

additional efficacy of enzymes obtained when added to LF compared to dry feed.

In the current investigations, we have looked at digestibility, but the final prove of the benefits of

combining fermentation and enzyme addition would be to see an improved growth performance and

lean meat content and meat quality traits in pigs fed the diets. This hence needs to be investigated

before pig producers are advised to use this feeding strategy.

10.1.1. Possibilities of implementations

Several steps are needed before it would be possible to go from the results obtained in this thesis,

to an actual implementation at the pig production sites. If a beneficial impact on growth

performance could be measured, this would have to be quantified, and weighed against the prices of

the ingredients, prices of the enzymes and of the investments needed to implement the system (i.e.

liquid feeding systems with controlled fermentation). If the economical assessment proves the

application to be sustainable, the implementation should not be difficult, as no special technology is

required. Recently a study has evaluated the feed costs of including alternative ingredients in diets

for pigs, when considering the performance data available (Woyengo et al., 2014). It was assessed

that replacing 15 % SBM with RSC in diets for grower-finisher pigs reduced feed costs by 2.0

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cents/kg BW gain; however, average daily gain was reduced, resulting in a longer production time.

In the case of wDDGS it was calculated that while a 15 % inclusion rate for weaner pigs reduced

feed costs, the inclusion of 20 % wDDGS increased feed costs due to reduced performance. This

shows the importance of optimising the nutritional value of these alternative ingredients, as done by

fermentation and enzyme addition in the current studies.

Fermentation has been used for preserving food during thousands of years, and most cultures

still have various traditional fermented foods, like e.g. sauerkraut (fermented cabbage, Germany),

kefir (fermented yoghurt drink, Russia), sourdough (fermented dough for bread making, Egypt),

tempeh (fermented bean cake, Indonesia) and miso (paste made from fermented grains, beans, and

koji spores, Japan) (Superfoods, 2014). Recently, fermented food has had a renascence related to

the interest in eating raw food (Rodwell, 2005). Examples of enzyme addition during fermentation

of food also exist. Specific lactic acid-producing cultures are added to yoghurts to increase

intestinal health (Mani-Lopez et al., 2014), while lactases have been added to yoghurts to reduce

lactose content, related to intolerance (Martins et al., 2012). In dough production and rising,

addition of xylanases can reduce viscosity hereby easing the handling (Novozymes, 2014). The

production of beer and wine also includes addition of carbohydrases to reduce viscosity, and to

improve the extraction and fermentability of carbohydrates to be converted to alcohol by yeast

(DuPont, 2014).

In the context of animal feed, combined fermentation and addition of carbohydrases is currently

not used. The practical implementation could be done in different ways. The obvious possibility is

to implement the technology at the individual pig production site, and for producers already using

liquid feeding this should be rather uncomplicated. The enzymes are added together with new feed

and water to the system, and appropriate time for fermentation and hydrolysing activity of the

enzymes should be ensured prior to feeding. For a producer using regular dry feed, the

implementation however represents a large economical investment, due to purchase of a liquid

feeding system, including pipeline systems and suitable troughs for LF.

Another possibility could be a centrally placed production plant supplying pig producers with

batch fermented feed or feed ingredients. Batch fermentation did, in the in vitro study, and

illustrated by the initial phase of fermentation, show to be sufficient to obtain the desired effects of

the added enzymes. Results were actually in several cases most significant during the initial phase

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of fermentation. However, the positive effects on microbial safety of the feed and improved GI-

health by digestion will be more difficult to obtain by batch fermentation, requiring thorough

monitoring of microbial growth and metabolite production during each batch production. A batch

fermented product could be supplied to the pig producer as a liquid product, which would be

possible in areas where the geographical distance between farms is small. Another possibility is to

dry the fermented product prior to delivery, ensuring shelf life during longer transportation time.

A few examples of companies producing batch fermented feed could be mentioned. Kmuch

Industry, Co., Ltd. was established in 1998 in Bangkok, Thailand. It specialises in fibrous

fermented feed with an emphasis on organic products (Kmuch, 2014). The company

FERMENTATIONEXPERTS A/S, Vejle, Denmark was founded in 2007. The company is

specialised in producing fermented protein products (Legarth, 2014). The Spanish company

Nutreco (Animal Nutrition R&D) is optimising the use of lactic acid cultures for pig producers

feeding by-products from the food industry (Nutreco, 2014). Neither of these companies however

claims to add enzymes during their fermentation process. And before commercialisation can

become a reality, further research needs to be performed.

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10.2. Future work

“If I had a million dollars…”, so goes the song by the Canadian Band Barenaked Ladies. If the

undersigned of this thesis had a million dollars for further research it would be focussed as

described in the following, underlining that the presented work was designed to investigate the

potential of the method of enzyme addition during fermentation. Further work has to be done to

optimise the method and find the true gain from this application.

A first priority would be to optimize the fermentation process so that it supports a maximum

effect of the specific enzyme mixtures showing good results. It is important to conduct this work

prior to further animal experiments, as it can be performed on a less expensive laboratory scale.

Parameters like temperature, time of fermentation, and pH should be considered to find the perfect

balance between biosafety and enzyme activity.

A performance study should be done with the aim of quantifying the impact of enzyme addition

to FLF on feed intake, daily weight gain and feed:gain ratio and carcass traits. A 2 x 2 factorial

design, where pigs are fed FLF or dry feed, with and without enzyme addition, should be used.

Furthermore, a comparison to feeding a standard diet of wheat, barley and SBM would be

beneficial.

Based on these data, a cost-benefit analysis could be performed, to clarify if an actual

economical profit from applying this feeding strategy would match up to the investments having to

be made. It must however be noted that the prices on feed ingredients, both traditional and

alternative, are highly fluctuating, complicating such an analysis. What is worth remembering is

that the aim is to increase the flexibility when formulating diets for pigs, so that pig producers can

adapt the diet to the given situation of supply and demand.

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