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A novel use of high density SNP assays to optimize choice of different crossbred dairy cattle genotypes in small-holder systems in East Africa

Monday, August 18, 2014
Posters (The Westin Bayshore)
Julie M. Ojango , International Livestock Research Institute, Nairobi, Kenya
Andrew G Marete , International Livestock Research Institute, Nairobi, Kenya
Fidalis D. N. Mujibi , International Livestock Research Institute, Nairobi, Kenya
James Rao , International Livestock Research Institute, Nairobi, Kenya
Jane Poole , International Livestock Research Institute, Nairobi, Kenya
Ed O Rege , PICO- Eastern Africa, Nairobi, Kenya
Shalanee Weerasinghe , University of New England, Armidale, Australia
Cedric Gondro , University of New England, Armidale, Australia
John Gibson , University of New England, Armidale, Australia
Okeyo Mwai , International Livestock Research Institute, Nairobi, Kenya
Abstract Text:

We present use of SNP technologies to obtain for the first time, rapid, large-scale, in situestimates of performance of crossbred cows in smallholder herds. Compared to historical approaches, our approach allowed optimum crossbreed choices to be determined more rapidly and without question about the relevance of the environment. High-density SNP assays were used to estimate breed composition for a monitored population comprising 1292 cows from 610 smallholder farms in Kenya. The achieved milk yields are much lower than generally assumed and lactation curves are very flat out to 400 days. In poor production environments, lower grade crosses (containing <60% exotic dairy alleles) had the same yield as high grade crosses. Allowing for the larger size and maintenance requirements of high grade exotics, lower grade exotics will be the most economically productive animals in these environments.

Keywords: SNP assay, breed composition, dairy