Technical note: Prediction of breeding values using marker-derived relationship matrices | Zendy

Ben J. Hayes | Zendy; Michael E. Goddard | Zendy

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Technical note: Prediction of breeding values using marker-derived relationship matrices

Author(s) -

Ben J. Hayes,

Michael E. Goddard

Publication year - 2008

Publication title -

journal of animal science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.928

H-Index - 156

eISSN - 1525-3015

pISSN - 0021-8812

DOI - 10.2527/jas.2007-0733

Subject(s) - selection (genetic algorithm) , livestock , statistics , data set , population , genomic selection , matrix (chemical analysis) , estimation , biology , mathematics , computer science , genetics , artificial intelligence , single nucleotide polymorphism , ecology , demography , genotype , materials science , management , sociology , gene , economics , composite material

In livestock populations, estimation of breeding values for selection requires a matrix describing the additive relationship between individuals in the population. This matrix can be derived from pedigree information. In some livestock populations, pedigree information may be unavailable, incomplete, or in error. Here we use simulated data to demonstrate that marker-derived relationship matrices can be used to predict breeding values and estimate additive variance components, provided the markers are sufficiently dense. The approach is demonstrated for an Angus data set with 9,323 SNP markers genotyped.

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