- 1. Global Research Project 1 (GRP 1)
Domestication,utilization and conservation of superior agroforestry
germplasm
http://www.worldagroforestrycentre.org/research/grp1_agroforestry_germplasm
Presentation by GRP 1 team HQ and ICRAF Regions
Science Week, 12 17 September 2011
2. Global exports value for some tree commodities (Edible)
2001-2008 (US$ 000)
Source: FAOSTAT, 2011
$ 126,282,549,680 industry
3. The Right Trees for the Right Place
A. Trees for Products
fruit
firewood
medicine
income
sawnwood
fodder
B. Trees for Services
soil
fertility
carbon
sequestration
watershed
protection
soil
erosion
shade
biodiversity
4. GRP 1 sub projects
GRP1.1: Improved tree planting material produced (fruit,
medicinals, fertilizer, bioenergy, timber, etc.) to contribute to
mitigating global challenges of hunger, health, climate change and
environmental degradation.( CRP 6, CRP 4)
GRP 1.2: Access to quality agroforestry tree germplasm for
smallholder farmers through formal and informal sector supply
systems anddevelopment of associated extension informationthat
influences production, use andadoption. Address best conservation
strategies for agroforestry trees.
(CRP 1 , CRP 6)
5. Highlights of some GRP 1 achievements 2010-2011
Decision Support Tools: Knowledgethat influences production, use,
adoption and conservation of treesRoeland Kindt
Understanding and using phenotypic variation Carmen Sotelo and John
Weber
New molecular approaches to enhanced tree productivityIan
Dawson
Allanblackia domestication Daniel Ofori
Student SuccessesRamni Jamnadass
6. Decision-support tools for species selection
ICRAF have a nifty new tool out called Useful Tree Species for
Africa. Ive been playing around with it and I have to say its
impressive.
Luigi Guarino http://agro.biodiver.se/)
7. Decision-support tools for species selection
Why did we develop these tools?
the right trees for the right place
Advise our clients on good candidate species for planting in a
particular area
Point location data are not sufficient for statistical modelling
for most species
How did we develop these tools?
By using vegetation maps and data on their species
assemblages
8. Suggested method for using the tool
9. Suggested method for using the tool1. Zoom to your area of
interest
10. Suggested method for using the tool2. Identify the vegetation
type
11. Suggested method for using the tool2. Identify the vegetation
type
12. Suggested method for using the tool2. Identify the vegetation
type
13. Suggested method for using the tool3. Select species
14. Suggested method for using the tool3. Select species
15. Suggested method for using the tool3. Select species
... links to ICRAFs
AgroforestryTree database
16. A higher resolution map will be ready very soon for 7 countries
in eastern Africa
(Ethiopia, Kenya, Malawi, Rwanda, Uganda, Tanzaniaand Zambia)
http://www.sl.life.ku.dk/English/outreach_publications/computerbased_tools/vegetation_climate_change_eastern_africa.aspx
17. A higher resolution map will be ready very soon for 7 countries
in eastern Africa
(Ethiopia, Kenya, Malawi, Rwanda, Uganda, Tanzaniaand Zambia)
A collaborative effort by:
Ethiopia: DemissewSebsebe and Ib Friis
Kenya: Francis Gachathi
Malawi: Cornell Dudley
Rwanda: Christopher Ruffa and MinaniVdaste
Tanzania: Frank Mbago and HerielMoshi
Uganda: James Kalema, John Mulumba and Mary Namaganda
Zambia: Mike Bingham
F&L Denmark: Jens-Peter Lilles and Lars Graudal
ICRAF: Roeland Kindt and Paulo van Breugel
http://www.sl.life.ku.dk/English/outreach_publications/computerbased_tools/vegetation_climate_change_eastern_africa.aspx
18. Geographic variation in wood properties correspondence between
provenance/progeny tests and studies in natural populationsCarmen
Sotelo Montes and John C. Weber, West and Central Africa, Sahel
Node
Background:
90% of tree species used for fuel and other wood products in
Sahel
Tree species disappearing due to hotter/drier climate in
Sahel
Research about variation in wood properties in Sahel is needed to
select better germplasm and develop climate change adaption
plans
Wood properties vary with rainfall, and rainfall varies with
latitude and longitude in Sahel
Wood properties generally under relatively strong genetic control,
so much of the variation in natural populations is genetic
This research provides recommendations for improving wood
properties in a changing climate
19. Hypothesis and justification
Hypothesis: patterns of geographic variation in wood properties
similar in provenance tests and natural populations
Hypothesis tested using calorific value of Balanitesaegyptiaca
wood, a priority species in Sahel for fuel, construction,
furniture, etc.
Why is this important?
Because if results similar, then variation in natural populations
could be used to identify genetic trends in wood properties and
make recommendations about germplasm collections to improve wood
properties
This would save time and money for domestication programmes
20. Methodology
Study in natural populations in Mali
Provenance test in Niger
Individual trees sampled along rainfall gradients
Multiple regression: calorific value ofindividual trees with
geographical coordinates
Mother trees sampled along rainfall gradients
Test established at one dry site
Multiple regression: mean calorific value of provenances with
geographical coordinates
21. Results
Patterns of geographic variation similar in provenance test and
natural populations: calorific value higher in more humid
locations
Predicted relationships between geographical coordinates and gross
calorific value (GCV) of B. aegyptiacawood
Trees in natural populations in Mali
Provenances in Niger
Lower rainfall Higher rainfall
Higher rainfallLower rainfall
GCV (kcal/kg)
R2 = 0.55, P < 0.01
East
West
North
South
Latitude (N)
Longitude(W)
22. Impact pathway
*Partners: NARs and IFAD developmentprojects in Niger (INRAN,
PPILDA), Burkina Faso (INERA, PDRD, PICOFA) and Mali (IER, FODESA),
and universities in Brazil (UFRRJ, UFRP)
23. Nextsteps
Determine if relationshipswithrainfalland otherwoodproperties are
similar in provenance test in Niger and natural populations of B.
aegyptiacain Mali -for examplewoodstrength, color, anatomy and
gasemissions
Study variation in woodproperties in natural populations of
otherspecies and compare with new provenance tests on farms in
Niger
Synthesize and results and makerecommendations to
improvewoodproperties in a changingclimate
Measuring color
Measuringstrength
24. Publications
- Sotelo Montes C, Weber JC. 2009. Genetic variation in wood
density and correlations with tree growth in Prosopisafricana from
Burkina Faso and Niger. Annals of Forest Science 66
(7):713-719.
25. Sotelo Montes C, Weber JC, Garcia RA, Silva DA, Muiz GIB.
2010. Variation and correlations in traits of Prosopisafricana and
Balanitesaegyptiaca in the West African Sahel: implications for
tree domestication programs. Forests, Trees and Livelihoods.
19:289-298. 26. Sotelo Montes C, Silva DA, Garcia RA, GIB, Weber,
JC. 2011. Calorific value of Prosopisafricana and
Balanitesaegyptiaca wood in the West African Sahel. Biomass and
Bioenergy 35:346-353. 27. Weber JC, Larwanou M, Abasse TA,
Kalinganire A. 2008. Growth and survival of Prosopisafricana
provenances tested in Niger and related to rainfall gradients in
the West African Sahel. Forest Ecology and Management 256:585-592.
28. Weber JC, Sotelo Montes C. 2010. Correlations and clines in
tree growth and wood density of Balanitesaegyptiaca(L.) Delile
provenances in Niger. New Forests 39:39-49.
