459. Bridging the gap in data from smallholder dairy systems; developing the Africa dairy genetic gains (ADGG) data platform

Author:

Ojango J.M.K.1,Okeyo A.M.1,Mrode R.12,Chinyere E.1,Gebreyohanes G.1,Meseret S.1,Mogaka D.1,Lyatuu E.1,Komwihangilo D.3,Msuta G.3,Kahumbu S.4,Gibson J.P.5,Kemp S.1

Affiliation:

1. International Livestock research Institute, Box 30709-00100, Nairobi, Kenya.

2. Scotland’s Rural College, Easter Bush, EH25 9RG, Edinburgh, United Kingdom.

3. Tanzania Livestock Research Institute, Box 834 Dodoma, Tanzania.

4. Green Dreams Tech, Box 24844-00502 Nairobi, Kenya.

5. University of New England, NSW 2351 Armidale, Australia.

Publisher

Wageningen Academic Publishers

Reference14 articles.

1. AU-IBAR (2019) The State of Farm Animal Genetic Resources in Africa. AU-IBAR, Nairobi, Kenya.

2. FAO (2015) The Second Report on the State of the World’s Animal Genetic Resources for Food and Agriculture. FAO, Rome, Italy.

3. FAO (2016) Dairy Producion and products. FAO, Rome Italy.

4. FAOSTAT (2022) FAO Statistical database. FAO,Rome, Italy. https://www.fao.org/faostat/en/#data/QCL accessed 04-01-2022

5. Cross-breeding cattle for milk production in the tropics: achievements, challenges and opportunities

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