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Influences of summer season on some biochemical andhormonal changes in crossbred cows during suckling
period
Teama F. E. I., Gad A. E.Biological Applications Department, Radioisotopes Applications Division, Nuclear Research Center, Atomic Energy
Authority, Inshas, Cairo, Egypt, P. O. 13759.Key words: suckling, urea, total protein, T4, P4, Leptin, crossbred cows.
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1
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ود أع�ى ال�ي� ن� رت�, ي� ي�روك�ي� ن� وال�ت� ي� ي� ض�ه�رم�ون��ى ال�لب, ي�� م م�عدل الا� ي� bظ ي� ى ن�� ي�راك�هما ف� ر الى اس� ي� . م�ما ي��ش�
AbstractSeasonal variation in environmental conditions in postpartum cows may lead to
some biochemical and physiological changes which affect the productive efficiency of
farm animals. This study was conducted in the bovine farm of "Experimental farms
project" of Nuclear Research Center, Atomic Energy Authority of Egypt-Inshas to evaluate
some blood biochemical and some hormonal changes during the suckling period in
crossbred cows under winter and summer conditions. Alterations in metabolites and
metabolic hormones during the first 10 weeks postpartum in both winter and summer
during a period of suckling were analyzed on a total of 13 crossbred (Brown Swiss X
Ballade) cows (winter, n=7; summer, n=6). The blood samples were taken at 2 weeks
intervals, 5 times in each season to determine the concentrations and changes in
Glucose, urea, total cholesterol, total proteins and some hormones including leptin, T4
and progesterone (P4) under winter and summer conditions. The data indicated that:
total protein (P < 0.01), glucose (P < 0.05), leptin (p<0. 01), total cholesterol (P < 0. 01),
and T4 (P < 0. 01) concentrations had significant seasonal differences between the two
calving groups. A positive correlation coefficient was observed between leptin levels with
T4 hormone.
From the data obtained in this study, we conclude that in summer
season, calving cows, certain biochemical and hormonal levels may
2
enhance but not enough to dramatically affect circulating levels of
urea and progesterone. The positive correlation between leptin and T4
may indicate association in the rate of metabolism.
IntroductionMost long-lived species, including ruminants, exhibit
seasonal cycles of physiological functions in order to cope with
seasonal fluctuations in climate and food availability (Patkowski
et al., 2006; Duarte et al., 2010). These seasonal rhythms are
reflected on the ability of the endogenous adaptive mechanism to
react in advance to regular environmental changes associated with
the seasons (Piccione et al., 2009).
The anabolic processes during postpartum are being converted
into catabolic ones giving the priority to mammary gland over
other tissue so, that the period of early lactation is followed by
negative energy balance (Algers and Uvnäs-Moberg, 2007).
Parturition and postpartum period are followed by significant
changes in biochemical and endocrine parameters (Jain, 1993).
However, cows quickly adapt themselves to the changes of these
important parameters by means of different physiological
mechanisms. During pregnancy, maternal tissues are involved in
providing energy for reproduction processes, which may affect
blood biochemical variables besides the effect of other factors
such as breed, age, malnutrition, fetal growth, or season (Swanson
et al. 2004, Yokus et al. 2006). In the course of lactation period
blood biochemical parameters including total protein and urea are
3
important indicators of the metabolic activity in lactating
animals (Karapehlivan et al. 2007).
The drastic reproductive changes that occur at
parturition as well as the high metabolic demands required to
initiate lactation impose great stress on these animals.
Biochemical determination of serum constituents can provide
valuable information relating to nutrition, sex, age and
physiological status of the animal (Osman et al., 2003). Moreover,
it seems that these biochemical measurements are often influenced
by a change in physiological status, environmental conditions, as
also observed in goats and sheep (Piccione et al., 2009 and
Piccione et al., 2012). The same outher seems that there is a
close relationship between blood constitunts and the season.
Different biochemical and haematological changes have been
established during lactation period in dairy cows (Quiroz-Rocha et
al., 2009), sheep (Vihan and Rai, 1987), and sows (Dhabhar and
McEven, 2001) during lactation in concomitance with heat stress
exposure. On the basis of these considerations, the aim of the
present study was to assess the trends in seasonal variations in
different biochemical parameters in postpartum crossbred suckling
cows.
Materials and MethodsAnimals and Nutritional Practice:
Thirteen crossbred pregnant cows (Brown Swiss X Balady) at
the fourth parity were used in this study, they are belong to the
4
bovine farm of "Experimental farms project" of Nuclear Research
Center, Atomic Energy Authority of Egypt which is located in the
desert area of Inshas. The average body weight was 389 ± 14.2 Kg.
The cows were monitored from the second week after calving to 10
week postpartum during the suckling period. The lactating cows
suckled their calves for all the observation time.
The cows were divided into two groups according to calving
season, seven in winter time (January, February and March) and six
in summer time (July, August and September). The cows were housed
in a free-stall barn with rain force shade during day and night.
The cows were daily offered a concentrate basal diet as 2 % of the
average body weight. The concentrate consisted of 27%
undecorticated cotton seed meal, 35% wheat bran, 30% yellow corn,
5% soybean meal, 1.5% lime stone and 1.5% sodium chloride. Rice
straw was available at all time. Minerals and vitamin blocks
(Tithebarn limited, Winsford, Cheshire CW7 3PG.U.K.) were
available for all cows during all times. The animals were watered
freely ad libitum.
Blood samples and biochemical components and hormonal analysis:
Fasting blood samples were taken every 2 weeks interval,
5 times in each season. The blood from each cow was collected
directly from the jugular vein into three separate test tubes
contain heparin, sodium fluoride or without anticoagulant. The
tubes were placed in an ice box at 4°C, transferred to the
laboratory and then centrifuged for 10 min at 3000 rpm at 4°C.
Serum and plasma were separated in vials and kept at -20°C until
5
analyzed. Plasma glucose, urea, total protein and total
cholesterol were determined spectrophotometrically by using
commercial kits (Biodiagnostic, Egypt). Thyroxin (T4) level was
estimated by the radioimmunoassay (RIA) technique using solid
phase coated tubes kits provided with (I125) and progesterone (P4)
(Diagnostic Systems Laboratories, Inc. Webster, Texas, USA). The
quantitative measurement of leptin hormone in serum was performed
using ELISA kit for multispecies (DRG Diagnostics, Marburg,
Germany) according to the manufacturer’s instruction.
Table (1) showed the fortnightly changes in ambienttemperature, relative humidity (RH)% and temperature humidityindex (THI) values at mid-day in winter (January, February andMarch) and in summer months (July, August and September).
Table 1: Air temperature, Relative humidity and TemperatureHumidity Index (THI) during experiment period.
Season Week Air temp.(C°) (RH) % (THI)Winter 2
46810
2123242630
6764606149
---7578
Overallmean
24.8 60.2 76.5
Summer 246810
4038383231
4853555958
9184898281
Overallmean
35.8 54.6 85.4
Air temperature (C°) and relative humidity (%) were
measured under shade weekly during mid day using thermo-hygrometer
6
(table 1). The temperature-humidity index (THI) was calculated
according to (Armstrong, 1994).
Statistical analysis: Analysis of variance was carried out by two way analysis of
variance detected using GLM procedure by SPSS (SPSS version 8 for
Windows; SPSS Inc., Chicago, IL, USA). The differences between
means were detected using Duncan's Test (1955). Results are
expressed as arithmetic mean ± standard error of mean (S.E.M.) and
significance was set up at (p≤0.05 or 0.01), respectively.
Correlation coefficients were calculated between all variables
estimated herein and each other.
Results and DiscussionA. Biochemical changes in postpartum lactating cows during
seasonal variation:
Seasonal variation including heat stress may affect on some
biochemical and physiological parameters in postpartum cows which
reflect on the reproductive performance of those animals.
One of the main biochemical parameters measured was plasma
proteins between postpartum cows calved in winter and summer
during suckling period over 10-week trial. In our data a highly
significant effect of fortnight intervals on the level of total
protein (p<0.01) was recorded. Both suckling groups had increased
7
plasma protein following parturition until week 6. After week 6,
the level was almost similar among both groups (figure 1a) and
Table (2). Our results are in agreement with what have been
observed by other authors in different studies (El Sherif and
Assad, 2001; Karapehlivan et al, 2007) and the low levels of
plasma proteins observed during the first weeks after calving
could be due to the decrease of protein level in the last
pregnancy period caused by the speed fetus muscular development.
Also, the significant increase of plasma proteins could be due to
a decrease of globulin after parturition. The higher level of
protein in winter group compared to summer one maybe due to the
high energy needed for milk synthesis in the mammary glands during
early lactation (Bremmer et al, 2000; Yokus et al, 2006).
(a) (b)
(c) (d)
Figure 1: Mean fortnightly total protein (a), Glucose (b), plasma urea level (c) and total cholesterol level (d) between winter and summer calving groups during suckling period in cows.
8
Significant changes were recorded in the level of glucose as a
result of seasonal variation and time intervals is shown in figure
(1b) and table (2) but a non significant effect was observed for
both seasonal and time interaction on glucose level following
parturition and during suckling. Due to the high demands of
energy for the process of lactation and maintenance, glucose has
shown to be depressed in the early postpartum period afterwards
levels began to increase (Vazquez-Anon et al., 1994). The higher
level of glucose observed in summer group compared to winter may
imply that it took longer for animals to recover from negative
energy balance than the winter group (Ciccioli et al, 2003).
A non significant change was observed in the level of
plasma urea nitrogen during the time between week 4 and week 6
then significant elevations were observed at week 8 and 10 for
both seasonal suckling groups as shown in figure (1c). Table (2)
shows an increased level of urea in winter (21.65 mg/dl) than in
summer (19.67 mg/dl). This increment maybe attributed to different
proteinic metabolism during lactation which was reported in
previous study in sheep and cattle (Karapehlivan et al, 2007). Our
data was indicated a significant effect of week of sampling as
indicated by a progressive increase in plasma urea nitrogen
following parturition.
Highly significant changes were recorded sue to the effect
of time and season as well as their interaction (S x T) for serum
total cholesterol level following postpartum between groups
(P<0.01). Figure (1d) shows the mean weekly values of serum total
9
cholesterol in two different seasons. No seasonal variation was
noted at the early postpartum suckling period (2, 4, and 6 weeks).
The level of cholesterol increased as lactation or suckling
advanced to reach significant values at weeks 8 and 10 (P<0.01)
especially for the winter period (Table 2). Previous studies have
shown that postpartum serum cholesterol was at its lowest
concentration in the first month of lactation, reaching its
maximum concentration at about 5 months and thereafter decreased
up to late lactation (Arave et al.,1975). Both the increased
nutrient demands of the rapidly growing fetus from the previous
pregnancy and the utilization of cholesterol for steroidogenesis
could be contributing factors to its low level in early lactation
(Arave et al., 1975). The author also reported that summer
calving cows had higher levels of total cholesterol compared to
winter calving cows. Our findings are discordant with the seasonal
differences reported by this author. Both seasonal groups had
their lowest levels of total cholesterol following parturition.
This study proved a significant effect of both time and season.
Total cholesterol levels for both suckling groups gradually
increased with the progress of time in the winter group with
greater weekly averages compared to the summer group. Reist et al
(2003) proposed that cholesterol and glucose are closely related
metabolites. Glucose has been shown to promote the uptake of
cholesterol for steroidogenesis. Although levels of glucosein the
current study were not significantly different between summer and
winter groups for season versus time interaction.
10
Table 2: Mean (±SE) of serum and plasma biochemical parameters of crossbred cows (Brown Swiss X Ballady) in winter and summer duringsuckling period. Items Blood biochemical parameters
Proteing/dl
Glucosemg/dl
Urea mg/dl Cholesterolmg/dl
Season (S)Winter (overall X)
6.73± 0.07A
70.88 ±0.54B 21.65±0.59 152.20±2.24A
Summer (overall X)
6.42±0.08 B 73.21 ±0.59A 19.67±0.65 131.72±2.42B
Significance (p≤)
0.01 0.05 0.135 0.01Time of sampling (T) (weeks after calving)2nd 5.64±0.117D 67.89±0.89B 15.91±0.97D 68.79±3.69E
4th 6.15±0.116C 71.82±0.86A 18.82±0.98C 90.13±3.64D
6 6.48±0.113C 72.52±0.84A 21.0±0.91BC 144.63±3.68C
8 7.01±0.118B 74.34±0.89A 24.33±0.95AB 195.49±3.67B
10 7.44±0.115A 73.65±0.85A 25.07±0.96A 210.752±3.69A
Significance (p≤) 0.01 0.01 0.01 0.01
Interactions (S x T)Winter2nd 6.08±0.159e
f 66.77 1.45± 16.09 1.32±69.52±5.01f
4th 6.51±0.157d
e 70.05 0.86± 19.05 1.32±87.76±4.98e
6 6.66±0.155a
d 71.15 1.33± 21.37 1.33±151.80±4.96d
8 7.03±0.161a
bc73.81±1.08 24.84 1.30±
213.53±5.01b
10 7.36±0.163a
b72.62±0.78 26.91 1.31±
238.37±4.99a
Summer 2nd 5.20±0.172g 69.02 1.42±
15.72±1.43 68.06±5.41f
4th 5.78±0.171f
g73.59±1.55 18.59 1.44±
92.50±5.38g
6 6.29±0.170d
ef 73.89 1.36± 20.63 1.43±137.46±5.42d
11
8 6.99±0.172b
c 74.88 1.35± 20.16 1.42±177.47±5.41c
10 7.52±0.169a 74.69 0.72± 23.26 1.41±183.14±5.40c
Significance (p≤)
0.05 0.905 0.366 0.01Means bearing different letters (A, B and C or a, b and c) in the same column within each classification differ significantly (P≤.01 and 0.05), respectively.
B. Hormonal changes in postpartum lactating cows during seasonal
variation:
T4 and progesterone levels were estimated in the present
study to detect their changes during seasonal variation. Our data
showed that serum T4 gradually increased following parturition
after week 4 and continued to do so as suckling progressed. T4 was
highly significant for summer group than the winter group. Effect
of season, time of sampling and interaction were highly
significant (P <0.01) Table (2). The significance difference was
found between the two seasonal groups during 10-week period.
Figure (2a) depicts mean fortnight values of serum T4 between
postpartum summer and winter calving groups over the 10-week
trial. At week 10 for the summer group, there was a sharp increase
in serum T4 which was determined to be as an outline guife showing
what has happened during early lactation. During gestation,
thyroid hormones may play a role in maintenance of pregnancy and
during lactogenesis. Thyroid hormones synthesis has been shown to
increase steadily as early lactation progresses. It may be an
important hormone for normal ductal development of the mammary
glands (Vonderhaar and Greco, 1979). Additionally, higher levels
of thyroid hormones may act as a metabolic signal to the cow to
12
begin resumption of ovarian activity (Reist et al., 2003). A major
exogenous regulator of thyroid gland activity is the environmental
temperature (Dickson, 1993). Being metabolic regulators as well as
calorigenic hormones, several heat stress studies have shown that
under both acute and chronic heat stress conditions, T3 and T4
synthesis were reduced and subsequently, less value were found in
milk or plasma (Johnson and Vanjonack, 1976; Magdub et al., 1982).
The dairy cow compensates for the additional environmental heat
load by reducing synthesis and secretion of these calorigenic
hormones. Other studies showed some conflicting results with no
differences found in the amount of thyroid hormone synthesis with
control versus acutely heat stressed cows (McGuire et al., 1991).
A highly significant rise of thyroid hormones was observed at the
onset of the humid warm season (June, July, and August) (Assane
and Sere, 1990). It can be supposed that an enhanced thyroid
activity during the humid warm season in such environments is
functional reaction for the animals facing the increased
availability of food, following the seasons characterized by food
shortage (quantity and quality) which is consistent with the
present study.
( a( )b( )c)
13
Figure 2: mean fortnightly T4 (a), P4 (b) and Leptin (c) between winterand summer calving groups during suckling period in cows.
Although previous studies have reported conflicting
results concerning the secretion rate of progesterone (P4) under
heat stress conditions, our present data indicate a significant
effect of time (P < 0.01), but not season. Progesterone level
increased through the time of postpartum as more cows became
cyclic. Effects of season and week x season interaction were not
significant. For both groups' summer and winter calving, serum
progesterone level was at nadir levels for the first 6 weeks
postpartum. The winter group had an earlier rise in mean serum
progesterone than the summer group. This is an indication of an
earlier ovulation. Table 2 and Figure (2b) showed mean postpartum
fortnightly of serum P4 in winter and summer calving groups over
10-week trial. Postpartum changes in serum P4 are evident over
time as the cow prepares itself for another estrous cycle. By
measuring serum P4 levels, time of first ovulation can be
determined. Serum progesterone levels are nearly undetectable
until about day 30 postpartum (Taylor et al., 2003). Levels
exceeding 1 ng/mL are considered an indication for resumption of
ovulation, which is not being uncommon for the first estrous cycle
which seems to be shorter in length than normal. The present
results show a significant effect of week, indicating a secretary
pattern that changes accordingly with resumption of ovarian
cyclicity and subsequent estrous cycles, especially cow number
1and 7 in winter group, 5 and 6 in summer group. Between the two
14
seasonal groups, the summer calving group had an earlier rise in
serum P4 (0.892±0.04 ng/ml) compared to the winter calving group
(0.963±0.03 ng/ml). Previous heat stress studies have reported
inconsistent results on the pattern of progesterone secretion.
Wise et al., (1988) found that lactating dairy cows subjected to
either shade or without had similar P4 concentrations. Howell et
al., (1994) reported that lactating dairy cows exposed to chronic
heat stress which would be typical of a long summer had decreased
P4 concentrations. The THI values for the end of August and
September (summer) of the current study were considered mild and
within borderline heat stress values. Although our results show no
overall significant effect of season, there was a significant
difference between the two groups at week 8 and they tended to be
a different by the end of week 6. The effects of a chronic heat
stress from several previous months of summer may lead to a
prolonged interval to first ovulation in this group of cows.
There was a highly significant effect of season (P <
0.01) between the two calving groups for leptin hormone, with
levels in summer calving cows being higher. There was no
significant effect of time or time x season interaction. Table 3
and Figure (2c). During early postpartum period, cows that are in
a more severe negative energy balance have a greater mobilization
rate of non esterfied fatty acids (NEF) from adipose tissue (the
main site of synthsis). As a result, adipocytes are depleted and
leptin synthesis is reduced (Block et al., 2001). Furthermore, it
has also been found that leptin secretion was altered by
15
photoperiod. In sheep studies, longer daylength was found to
increase leptin mRNA in adipose tissue as well as plasma leptin.
As daylength increases, the availability of food is also increased
in a grazing environment. Therefore, a longer photoperiod could
aid the animal in adapting to its environment through interactions
between leptin, insulin, glucocorticoids and brain hormones
(Chilliard et al., 2001). In another photoperiod study, Garcia et
al., (2002) found that in ovariectomized, estradiol-implanted
cows, plasma leptin was increased from January onwards until the
summer solstice. It has been reported that slight changes in cow
body weight or body condition does not significantly alter
circulating plasma leptin (Chilliard et al., 2001). For the
current study, there was a significant seasonal effect. The summer
group on average tended to have a greater amount of leptin for the
entire 10-week trial compared to the winter group. After calving,
the summer group averaged about 4.45ng/mL and the winter group
averaged about 3.656ng/mL. The winter group increased to an
average of about 3.769ng/mL by week 6 and the levels remained
fairly constant for the remainder of the 10 weeks. Likewise, the
summer group’s leptin concentrations did not deviate significantly
over time, although by week 8, levels had risen to an average of
about 4.95ng/mL. Our results suggest that the summer calving group
did not sxhibit a significant drop in body condition, enough to
deplete their adipose reserves and circulating leptin. Longer
daylength during the late summer compared to the winter could
16
therefore explain the summer group’s tendency to have greater
concentrations of serum leptin at postpartum.
Table 3: Mean (±SE) of serum hormonal parameters of crossbred cows (Brown Swiss X Ballady) in winter, summer and interaction during suckling period. Items Hormonal levels
T4(µg/dl) P4(ng/ml) Lipten (ng/ml)Season (S)Winter (overallX)
6.62 ±0.08B 0.591±0.021 3.728±0.074B
Summer (overall X)
12.03±0.09A 0.557±0.020 4.700±0.080A
Significance (p≤) 0.01 0.256 0.01Time of sampling (T) (weeks after calving)2nd 9.45 ± 0.14 B 0.02±0.032E 4.052±0.124
17
4th 6.76 ±1.101 D 0.08 ±0.027D 3.945±0.119
6 10.24±0.138 A B 0.477 ±0.028C 4.294±0.123
8 9.41 ±0.129 B 0.927 ± 0.032B 4.392±0.121
10 10.75±0.141 A 1.348 ±0.030A 4.391±0.123
Significance (p≤) 01.0 0.01 0.036
Interactions(S x T)Winter2nd 6.92±0.11a 0.022 0.038±
3.656±0.168
4th 5.66±0.112d 0.147±0.01 3.521 0.161±
6 6.87±0.121ab 0..464±0.04 3.769 0.164±
8 6.92±0.17a 0.963±0.03 3.833 0.167±
10 6.71±0.19b 1.357±0.044 3.864 0.159±Summer 2nd 11.98±0.20c 0.02±0.006 4.45±0.1654th 7.87±0.21d 0.02±0.005 4.37±0.126
6 13.6±0.26b 0.49 0.047± 4.82 0.141±
8 11.9±0.17c 0.892 0.040± 4.95 0.108±
10 14.78±0.38a 1.338 0.043±4.92±0.070
Significance (p≤) 0.01 0.459 0.855 Means bearing different letters (A, B and C or a,b and c) in the same column within each classification differ significantly (P≤.01 and .05), respectively.
Correlation coefficients for levels of protein, glucose,
urea, cholesterol, T4, progesterone and leptin were illustrated in
table (4). Concentration of protein was positively correlated
with concentrations of urea, cholesterol, and progesterone. Level
of urea was also positively correlated with concentrations of
cholesterol and progesterone. Concentration of cholesterol was
18
positively correlated with progesterone and finally, T4 level was
positively correlated with leptin.
Concentration of T4 hormone and leptin in serum were positively correlated during summer season of lactating cows which is in agreement with previous study (Ciccioli et al, 2003). It was shown that leptin administration increased pro-TSH gene expression(Legradi et al, 1997) and concentration of thyroxin (Ahima et al, 1996) in fasted rodents. Because basal metabolic rate and energy expenditure are directly regulated by thyroxin, the results of thecurrent study indicate that concentrations of leptin in serum may be associated with the rate of metabolism, increased secretion of anabolic hormones and tissue accretion.
Table 4: Correlation coefficients between levels oftotal protein, glucose, urea, total cholesterol, T4,progesterone and leptin
Item Correlation Coeffients
T.
protein
Glucos
e
urea T.
cholestero
l
T4 P4 Lepti
n
T. protein - .268 .625
**
.775** - .810
**
-
Glucose - .286 .375** .292 .385
*
-
urea - .- - .714** - .663
**
-
T.
cholestero
l
- - - - .919
**
-
T4 - - - .748*
*P4 - - - - - - -
19
Leptin - - - - - - -
Conclusion: From the present study it could be concluded that summer calving
cows may have an increase some biochemical and hormonal levels but not
enough to dramatically reduce the circulating levels of glucose, urea
and progesterone. The positive correlation between leptin with T4 may
indicate there associated implication in regulation in the rate of
metabolism.
References
Ahima,R.S., Danial P., Christos, M., Daqing, Q., Bradford, L., Eleftheria, M. and Jeffrey, S.F. (1996). J. Nature 382, 250 – 252.
Algers B., and Uvnas- Momerg K. (2007). Hormons and Behaviour, 52, 78-85.
Arave, C., Miller, R. and Lamb. R. (1975). J. Dairy Sci. 58(3): 423-427.
Armstrong DV (1994) J. Dairy Sci 77:2044–2050
Assane M, and Sere A. (1990). Annales de Recherches Veterinaires 21, 285–289.Block, S.S., Butler, W.R., Ehrhardt, R.A., Bell, A.W., Van Amburgh, M.E. and Boiclair, Y.R., (2001). J. Endocrinol. 171, 339–348.Bremmer D.R., Bertics S.J., Brsong S.A., and Grummer R.R., (2000).J. Vet. Sci., 83, 2252-2260.
Chilliard, Y., M. Bonnet, C. Delavaud, Y. Faulconnier, C. Leroux, J. Djiane, F., and Bocquier (2001). Dom. Anim. Endocrinology 21: 271-295.
Ciccioli, N. H. Wettemann, R. P., Spicer, L. J., Lents, C. A., White, F. J. and Keisler, D. H. (2003). J. Anim. sci, 81:3107-3120.
20
Dhabhar, F.S., and McEven, B.S. (2001): possible explanations for paradoxical observations. In: Adler, R., Felten, D.L., Cohen, N. (Eds.), Psychoneuroimmunology, third ed. Academic Press, 301-338.Dickson, W.M. (1993). Endocrine glands. In: Duke’s physiology of domestic animals, 11thedition (ed. MJ Swenson and WO Reece), pp. 629–664. Comstock Publishers Association, Ithaca and London.Duncan, D.B. (1955). Multiple range and multiple F-tests.
Biometrics 11:1-42.
Duarte,G., Nava-Hernandez, M. P., Malpaux, B. And Delgadillo, J. E. (2010). Anim. Rep.Sci.120, 65- 70.El-Sherif, M.M.A., and Assad, F., (2001). Small Rumin. Res. 40, 269–277.
Garcia, M.R., Amstalden, M., Williams, S.W.,Stanko, R.L.,Morrison, C.D., Keisler, D.H.,
Nizielski, S.E. and Williams. G.L. (2002). J. Anim. Sci. 80: 2158-2167. Howell, J., Fuquay, J., Smith, A. (1994) . J. Dairy Sci. 77(3): 735-739.
Jain N.C. (1993): Essentials of Veterinary Hematology, ComparativeHematology of Common Domestic Animals. Lea and Febiger, Philadelphia, PA, 44-46.
Johnson, H., and W. Vanjonack. (1976). J. Dairy Sci. 59(9): 1603-1617.Karapehlivan M., Atakisi E., Atakisi O., Yucayurt R. and Pancarci S.M., (2007). Small Ruminant Research 73, 267-271.Legardi, G., Emerson, C.H., Ahima, R.S., Flier, J.S.,Lechan, R.M. (1997)J. Endocrin. 138: 2569-2575.
Magdub, A., H. Johnson and R. Belyea. (1982) . J. Dairy Sci. 65: 2323-2331.
McGuire, M., D. Beede, R. Collier, F. Buonomo, M. DeLorenzo, C. Wilcox, G. Huntington, and Reynolds. C. (1991) . J.Anim. Sci. 69: 2050- 2056.
Osman, N. I.,Johnson, E. H.,AL-Busaidi, R. M. and Suttle, N. F.(2003).Vet. Res.Commun.27, 219-229.Patkowski, K., Pieta, M. and Lipecka C. (2006): Arch. Tierz. 49, 297-304.Piccione, G., Giannetto, C., Casella, S. and Caola, G. (2009). Biol. Rhythm Res. 40, 455-464.Piccione, G.; Messina, V.; Scianó, S.; Assenza,A.; Orefi,T.; Vazzana, I. and Zumbo, A. (2012). VET. ARHIV 82 (3), 229-238.Quiroz-Rocha, G.F., Leblanc, S.J., Dufield, T.F., Wood D., Leslieke and Jacobs R.M. (2009): Can. Vet. J., 50, 4, 383-388.
21
Reist, M., Erdin, D. von Euw, D., Tschumperlin, K., Leuenberger, H., Hammon, H., Morel, C. , Philipona, C., Zbinden, Y., Kunzi, N.and Blum. J. (2003).Dairy Cows.Theriogenology59:1707-1723.Swanson, K. S., Kuzmuk, K. N., Schook L. B., and Fahey, G. C. (2004) J. Anim. Sci.,82, 1713-1724.Taylor, V., Beever, D. Bryant, M. and Wathes, D. (2003). Theriogenology 59: 1661-1677.
Vazquez-Anon, M., S. Bertics, M. Luck, R. Grummer, J. Pinheiro.(1994). J. Dairy Sci.77:1521-1528.Vihan V.S. and Rai, P. (1987): Ind. J. Anim. Sci., 57, 11, 1200-1204.
Vonderhaar, B., and A. Greco. (1979). J. Endocrinology 104: 409-418. Wise, M., Armstrong, D., Huber, J. Hunter, R. and Wiersma. F.(1988). J. Dairy Sci.71(9): 2480- 2485.
Yokus, B.; Cakir, D. Kanayz, U., Gulten, T. and Uysal, E., (2006).
J. Vet. Med. 53, 271-276.
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