Prediction of the reliability of genomic breeding values for crossbred performance.

ABSTRACT:

Background

In crossbreeding programs, various genomic prediction models have been proposed for using phenotypic records of crossbred animals to increase the selection response for crossbred performance in purebred animals. A possible model is a model that assumes identical single nucleotide polymorphism (SNP) effects for the crossbred performance trait across breeds (ASGM). Another model is a genomic model that assumes breed-specific effects of SNP alleles (BSAM) for crossbred performance. The aim of this study was to derive and validate equations for predicting the reliability of estimated genomic breeding values for crossbred performance in both these models. Prediction equations were derived for situations when all (phenotyping and) genotyping data have already been collected, i

SUBMITTER: Vandenplas J 

PROVIDER: S-EPMC5439167 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature