Article
Predicting genetic merit for mastitis and fertility in dairy cattle using genome wide selection and high density SNP screens.
Developments in biologicals - 1 Jan 2008
Raadsma H W, Moser G, Crump R E, Khatkar M S, Zenger K R, Cavanagh J A L, Hawken R J, Hobbs M, Barris W, Solkner J, Nicholas F W, Tier B
Abstract excerpt
Two novel methods for genome wide selection (GWS) were examined for predicting the genetic merit of animals using SNP information alone. A panel of 1,546 dairy bulls with reliable EBVs was genotyped for 15,380 SNPs that spanned the whole bovine genome. Two complexity reduction methods were used, partial least squares (PLS) and regression using a genetic algorithm (GAR), to find optimal solutions of EBVs against...
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