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

Breeding structures

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