- 1. From Value Chains to Technology PlatformsThe example of
sheep meat value chain in Ethiopia Barbara Rischkowsky (ICARDA)
CGIAR Livestock Fish Mega Program Stakeholder Meeting Addis Ababa,
24-25 August 2010
2.
- Lessons learnt from a joint ICARDA/ILRI/ Boku Project on
"Developing community based breeding programs" for four local sheep
breeds in Ethiopia
- "Supply-driven" research project with a strong development
component
Entry point for thesheep meat value chain 3.
- Huge and increasing demand for mutton within and outside
Ethiopia
- Abattoirs in Ethiopia operate only at 40% of their
capacity
- Ethiopias strategic location to Middle East markets unrealized
export opportunities
- High potential to raise flock productivity and thereby off-take
rate in smallholder flocks
Perceived opportunities for developing a sheep meatvalue chain
4. Approach In country value-chain research and knowledge
application Platform Research Breeds Feeds Health Targeting
Monitoring & Evaluation Technology IPGs Process IPGs (Action
Learning) Adaptive Research 5. Value chain analysis Compo-nentsof
the value chain Develop-mental challenge/ Barrier Research
knowledge gaps (technology, policy, livelihoods, gender)Activity/
Interven-tions Outcome/ Impact Partner-ships 6. Components of the
value chain Developmental challenge/Barriers Research knowledge
gaps (technology, policy, livelihoods, gender)
- How do we increase sheep meat production and flock productivity
to meet current and future market needs?
-
- How to avoid inbreeding and negative selection of rams?
-
- How to overcome seasonal or continuous gaps in feed quantity
and quality?
-
- Which preventive measures and treatments (animal health
control) are essential to increase productivity?
- What design of breeding programs and strategies would be
appropriate for the existing and emerging production systems/
environments (incl. appropriate data recording and feedback
system)?
- What are suitable forage species/varieties and the economics of
their production?
- Best strategies to reduce mortality, particular in young
animals and avoid decreased productivity caused by diseases?
- How to design optimized feeding systems? (continued)
7.
- Choice of breeding objectives and selection traits
- "Minimum" recording systems
- Estimation of breeding values based on incomplete
information
- What will genomics contribute?
- Organizational/ Institutional issues
Development of organizedbreeding programsfor smallholders 8.
- Identify suitable species and varieties (genebanks and quick
screening methods)
- Adapt agronomic practices
- Assess economics of forage production and environmental
benefits (e.g. breaking cereal monocultures)
- Test conservation technologies if required
- Assess market opportunities
- Develop seed delivery system
Suitableforages(or food-feed crops) to close feed gaps