Article
Genome-assisted prediction of a quantitative trait measured in parents and progeny: application to food conversion rate in chickens.
Genetics, selection, evolution : GSE - 5 Jan 2009
González-Recio Oscar, Gianola Daniel, Rosa Guilherme Jm, Weigel Kent A, Kranis Andreas
Abstract excerpt
Accuracy of prediction of yet-to-be observed phenotypes for food conversion rate (FCR) in broilers was studied in a genome-assisted selection context. Data consisted of FCR measured on the progeny of 394 sires with SNP information. A Bayesian regression model (Bayes A) and a semi-parametric approach (Reproducing kernel Hilbert Spaces regression, RKHS) using all available SNPs (p = 3481) were compared with a...
Topics
Join the communities discussing this publication.
