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Unzipping the Goat Helix
Harnessing genetic diversity to improve goat productivity in Africa
M. Agaba, T. Dessie, J. Djomika, G. Gebreyessus, F. Meutcheye, S.Osama

ILRI BioSciences Day, Nairobi, 27 November 2013
Goat Opportunity: its significance

CAT
SHE

GOA

BUF
Goat Opportunity: its significance
The constraints
• Weak institutional arrangements to exploit goat
potential.
• Unutilized Diversity to accelerate goats’ performance.

• Inadequate capacity at al levels, especially expertise
in breeding.
Objectives
• Characterize the genetic architecture of
goat populations in Cameroon and
Ethiopia with view to identifying DNA
signature of adaptation.
• Establish institutional and community
arrangements that maximize the value
derived from goat production.
• Demonstrate the Utility of DNA tools in
boosting productivity of goats under
small holder farming systems goat
productivity.
• To build expertise of the next generation
scientists/practitioners.
Methods: Innovation Platform
Solid Evidence, Suitable Technologies, Sound Policy

abattoir

Media

IRAD

Goat traders

Gene sink

(drive gene flow)

PADPR

ACEFA

Farmer groups
Gene Bank

NGOs
enabling

Model to be cascaded Locally
Methods: Innovation Platform
Solid Evidence, Suitable Technologies, Sound Policy
Production
aspects

Constraints and challenges

Performances -

Growth delay ( stunted animals)
Low resistance to diseases
Low productivity
How and where to get improved animals?

Husbandry/
management

-

Heat detection and management
General reproduction management to
avoid consanguinity
Breeding buck management
Need of fences to avoid animal’s rambling
Formulation of supplementary feed

-

Few opportunities (market)
Wide variation of prices

Marketing

-
Methods: Gene discovery
How do the goat genomes
stand on the diverse
African eco-geography?
What the DNA
attributes underlie
adaptation?
How can we use DNA
tools to accelerate
goat performance?
Methods: Gene discovery

Developing DNA testing for use in small holder systems
Methods: Gene discovery
Discovery and utilisation of high fecundity genes in African Goats

GBS of Superdoes and controls on
MiSeq. Genome which scan for possible
novel goat fecundity loci

Develop and validate a MAS
DNA assay for high
fecundity to test Bucks

We
R
here

Collet tissue specimen from 100 - 200 does
with 3+ kids on more than 2 times from
CAMEROON plus 100 does with 1 kid at a
time for more than 3 times

Mutation Detection in
Fecundity candidate genes
Goats are Super-organisms
10,000,000,000,000,001 genomes

IN

OUT

WATER

Methane

GRASS
TWIGS
SALT
LEAVES

MILK

Rumen
Microbiome

MEAT

POOH

Exploring the rumen microbiome is essential
Conclusions and discussion points
• IP is a useful mechanism to engage “policy”
making, and technowledgy uptake.
• Goats present a unique opportunity through
which to realize the aspirations of
young, old, in different agroecological zones.
• It is feasible to use DNA tools to impact
performance in the near term with the
right trait e.g. reproductive efficiency

• Goats (ruminants) are superoganisms, therefore studying rumen biota
is essential.
Where to from now?
Keep working
• Demonstrate utility of DNA science in breeding –
small holders’ MAS.
• Deepen exploration of Goat rumen microbiome
function and diversity.
• Broaden geographical scope of to include goat
population in Sudan and Tanzania.
• Strengthen interaction with the Relevant CRPs, and
with NMAIST, NARS in SUDAN, Cameroon, Ethiopia
and Tanzania.
Ahsante Sana
Acknowledgements

Supported by the
Government of Sweden
better lives through livestock
ilri.org

The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.

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Unzipping the Goat Helix: Harnessing genetic diversity to improve goat productivity in Africa

  • 1. Unzipping the Goat Helix Harnessing genetic diversity to improve goat productivity in Africa M. Agaba, T. Dessie, J. Djomika, G. Gebreyessus, F. Meutcheye, S.Osama ILRI BioSciences Day, Nairobi, 27 November 2013
  • 2. Goat Opportunity: its significance CAT SHE GOA BUF
  • 3. Goat Opportunity: its significance
  • 4. The constraints • Weak institutional arrangements to exploit goat potential. • Unutilized Diversity to accelerate goats’ performance. • Inadequate capacity at al levels, especially expertise in breeding.
  • 5. Objectives • Characterize the genetic architecture of goat populations in Cameroon and Ethiopia with view to identifying DNA signature of adaptation. • Establish institutional and community arrangements that maximize the value derived from goat production. • Demonstrate the Utility of DNA tools in boosting productivity of goats under small holder farming systems goat productivity. • To build expertise of the next generation scientists/practitioners.
  • 6. Methods: Innovation Platform Solid Evidence, Suitable Technologies, Sound Policy abattoir Media IRAD Goat traders Gene sink (drive gene flow) PADPR ACEFA Farmer groups Gene Bank NGOs enabling Model to be cascaded Locally
  • 7. Methods: Innovation Platform Solid Evidence, Suitable Technologies, Sound Policy Production aspects Constraints and challenges Performances - Growth delay ( stunted animals) Low resistance to diseases Low productivity How and where to get improved animals? Husbandry/ management - Heat detection and management General reproduction management to avoid consanguinity Breeding buck management Need of fences to avoid animal’s rambling Formulation of supplementary feed - Few opportunities (market) Wide variation of prices Marketing -
  • 8. Methods: Gene discovery How do the goat genomes stand on the diverse African eco-geography? What the DNA attributes underlie adaptation? How can we use DNA tools to accelerate goat performance?
  • 9. Methods: Gene discovery Developing DNA testing for use in small holder systems
  • 10. Methods: Gene discovery Discovery and utilisation of high fecundity genes in African Goats GBS of Superdoes and controls on MiSeq. Genome which scan for possible novel goat fecundity loci Develop and validate a MAS DNA assay for high fecundity to test Bucks We R here Collet tissue specimen from 100 - 200 does with 3+ kids on more than 2 times from CAMEROON plus 100 does with 1 kid at a time for more than 3 times Mutation Detection in Fecundity candidate genes
  • 11. Goats are Super-organisms 10,000,000,000,000,001 genomes IN OUT WATER Methane GRASS TWIGS SALT LEAVES MILK Rumen Microbiome MEAT POOH Exploring the rumen microbiome is essential
  • 12. Conclusions and discussion points • IP is a useful mechanism to engage “policy” making, and technowledgy uptake. • Goats present a unique opportunity through which to realize the aspirations of young, old, in different agroecological zones. • It is feasible to use DNA tools to impact performance in the near term with the right trait e.g. reproductive efficiency • Goats (ruminants) are superoganisms, therefore studying rumen biota is essential.
  • 13. Where to from now? Keep working • Demonstrate utility of DNA science in breeding – small holders’ MAS. • Deepen exploration of Goat rumen microbiome function and diversity. • Broaden geographical scope of to include goat population in Sudan and Tanzania. • Strengthen interaction with the Relevant CRPs, and with NMAIST, NARS in SUDAN, Cameroon, Ethiopia and Tanzania.
  • 14. Ahsante Sana Acknowledgements Supported by the Government of Sweden
  • 15. better lives through livestock ilri.org The presentation has a Creative Commons licence. You are free to re-use or distribute this work, provided credit is given to ILRI.

Editor's Notes

  1. There MUST be a CGIAR logo or a CRP logo. You can copy and paste the logo you need from the final slide of this presentation. Then you can delete that final slide To replace a photo above, copy and paste this link in your browser: http://www.flickr.com/photos/ilri/sets/72157632057087650/detail/ Find a photo you like and the right size, copy and paste it in the block above.
  2. IntroductionIntroductionWhy is this research important for ILRI – I don’t now if the research is important for ILRI, and not research should be important for ILRI Who are the recipients of the outcomes: farmers in marginal systems are most likely to benefit.How will it change their lives: resilient, empower, profit.
  3. IntroductionIntroductionWhy is this research important for ILRI – I don’t now if the research is important for ILRI, and not research should be important for ILRI Who are the recipients of the outcomes: farmers in marginal systems are most likely to benefit.How will it change their lives: resilient, empower, profit.
  4. Discuss the innovation in the work, what is to be learned, the approach chosenScientific approachInnovationPartners?