DGEA1 Animal Performance

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Dataset metadata

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Created Tuesday 8th of July, 2014
Last updated Thursday 26th of January, 2023
Dataset type Non-spatial
Abstract Germplasm for Dairy Development in East Africa. Phase I: Identifying appropriate germplasm and delivery mechanisms (DGEA1 ). DGEA1 will determine what are the most appropriate genotypes for the range of dairy production systems and levels of production operated by small-holder farmers in East Africa, and how these genotypes can be delivered to small-holders. The project partners will apply high density snp technology to determine breed composition of cows owned by small-holders, and combine this with traditional and participatory appraisal of animal and farm performance to determine which genotypes are most profitable at different levels of production. An assessment of the potential value of importing, testing and delivery of genotypes from elsewhere will be undertaken. A partnership will be developed that has a fully articulated business model ready to implement delivery of germplasm in a Phase II project and beyond. A design will also be developed for better delivery of R4D in livestock genetics in sub-Saharan Africa. This dataset contains monitoring productivity of animals in DGEA1 dairy cattle keeping households
Principal investigator Dr. Ally Mwai Okeyo
Partners Small Holder Livestock Keepers
Other researchers involved Dr. Julie Ojango, Dr. Isabelle Baltenweck, Dr. James Rao, Dr. Denis Mujiibi, Ms. Elizabeth Jane Poole
Contact person Dr. Ally Mwai Okeyo
Contact email O.MWAI@CGIAR.ORG
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Data collected from 01/04/2011
Availability date 31/12/2014
License Creative Commons Attribution Share-Alike
Release of confidential data? No
Consent obtained? No
Citation Not yet available
Acknowledgements Not yet available

Project metadata

Item Value
Project title Germplasm for Dairy Development in East Africa. Phase I: Identifying appropriate germplasm and delivery mechanisms (DGEA1)
Project abstract DGEA will determine what are the most appropriate genotypes for the range of dairy production systems and levels of production operated by small-holder farmers in East Africa, and how these genotypes can be delivered to small-holders. The project partners will apply high density snp technology to determine breed composition of cows owned by small-holders, and combine this with traditional and participatory appraisal of animal and farm performance to determine which genotypes are most profitable at different levels of production. An assessment of the potential value of importing, testing and delivery of genotypes from elsewhere will be undertaken. A partnership will be developed that has a fully articulated business model ready to implement delivery of germplasm in a Phase II project and beyond. A design will also be developed for better delivery of R4D in livestock genetics in sub-Saharan Africa.
Grant code UNE001
Donor Bill & Melinda Gates Foundation (BMGF)
Partners University of New England (UNE), Australia (Project lead organisation); ILRI;The Institute for People, Innovation and Change in Organizations (PICOTEAM)
Start date 01/09/2010
End date 31/03/2013
Principal investigator Professor John P Gibson
Other staff involved Dr. Ally Mwai Okeyo, Dr. Julie Ojango, Dr. Isabelle Baltenweck, Dr. James Rao, Dr. Denis Mujiibi, Ms. Elizabeth Jane Poole, Dr. Stephen Kemp
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ILRI_actydataowner All Project Partners : UNE, ILRI, PICOTEAM
ILRI_actysharingagreement Required for sensitive / private data like GPS coordinates
ILRI_actyusageconditions Usage is restricted to Non-commercial purposes