Germplasm for Dairy Development in East Africa. Phase I: Identifying appropriate germplasm and delivery mechanisms (DGEA1) - Signature of Selection & GWAS data used in Aliloo et al 2020

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Gibson, John Paul; Mwai, Ally Okeyo; Ojango, Julie; Baltenweck, Isabelle; Rao, James; Mujibi, Dennis; Poole, Elizabeth; Kemp, Steve; Mrode, Raphael, 2023, "Germplasm for Dairy Development in East Africa. Phase I: Identifying appropriate germplasm and delivery mechanisms (DGEA1) - Signature of Selection & GWAS data used in Aliloo et al 2020", https://hdl.handle.net/20.500.11766.1/FK2/P5BOX7, MELDATA, V4
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Description
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., 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 confidential dataset provides the signature of Selection & GWAS data used in : Aliloo H, Mrode R, Okeyo AM and Gibson JP (2020) Ancestral Haplotype Mapping for GWAS and Detection of Signatures of Selection in Admixed Dairy Cattle of Kenya. Front. Genet. 11:544. doi: 10.3389/fgene.2020.00544 Due to obligations to our host countries users of the genotypic data must commit to recognizing IP clauses which do not allow development or protection of this IP. If you can satisfy these clauses please contact Raphael Mrode to request the data, after completion of a non-disclosure agreement.
Subject Agricultural Sciences
Keyword breeding, livestock production, dairy production, cattle, genetics, nutrition, health and food security, poverty reduction, livelihoods and jobs, dairy byproducts
Related Publication Aliloo H, Mrode R, Okeyo AM and Gibson JP (2020) Ancestral Haplotype Mapping for GWAS and Detection of Signatures of Selection in Admixed Dairy Cattle of Kenya. Front. Genet. 11:544. doi: 10.3389/fgene.2020.00544
Notes Type: Dataset; Sub-type(s): Other (Genomic or Genetics data)
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