Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions

E. Kemper, Kathryn; M. Reich, Coralie; Bowman, P.J.; J. Vander Jagt, Christy; J. Chamberlain, Amanda; Mason, Brett; J. Hayes, Ben; E. Goddard, Michael

doi:10.1186/s12711-014-0074-4

Public

Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions

Published in Genetics Selection Evolution • Apr 16, 2015

Authors:

Kathryn E. Kemper

Coralie M. Reich

P.J. Bowman

Abstract

BACKGROUND: Genomic selection is increasingly widely practised, particularly in dairy cattle. However, the accuracy of current predictions using GBLUP (genomic best linear unbiased prediction) decays rapidly across generations, and also as selection candidates become less related to the reference po...

Subject

Breed

Genomic selection

Best linear unbiased prediction

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