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Extension to Haplotypes of Genomic Evaluation Algorithms

Friday, August 22, 2014
Posters (The Westin Bayshore)
Pascal Croiseau , INRA, UMR1313 GABI, Jouy-en-Josas, France
Marie-Noelle Fouilloux , Institut de l'Elevage - Idele, Jouy-en-Josas, France
David Jonas , INRA, UMR1313 GABI, Jouy-en-Josas, France
Sebastien Fritz , INRA, UMR1313 GABI, Jouy-en-Josas, France
Aurélia Baur , INRA, UMR1313 GABI, Jouy-en-Josas, France
Vincent Ducrocq , INRA, UMR1313 GABI, Jouy-en-Josas, France
Florence Phocas , INRA, UMR1313 GABI, Jouy-en-Josas, France
Didier Boichard , INRA, UMR1313 GABI, Jouy-en-Josas, France
Abstract Text:

Most genomic evaluation methods have been based on SNP. It has been shown that differences in accuracy of genomic breeding values were small between these methods. The use of a high density chip instead of a medium density one in within breed or multi-breed genomic evaluation leads to relatively small improvements. Haplotypes instead of SNP improve linkage disequilibrium between alleles and potential quantitative trait loci. Here, an extension to haplotypes of GS3, a free selection genomic software developed by Legarra et al. (2013) is proposed.

Keywords:

genomic selection

Bayes Cπ

haplotype