058
Genomic Selection of Pork pH in Purebred Pigs for Crossbred Performance

Monday, August 18, 2014: 4:30 PM
Bayshore Grand Ballroom D (The Westin Bayshore)
Younes Miar , University of Alberta, Edmonton, AB, Canada
Graham Plastow , University of Alberta, Edmonton, AB, Canada
Heather Bruce , University of Alberta, Edmonton, AB, Canada
Robert Kemp , Genesus Genetics Inc., Oakville, MB, Canada
Patrick Charagu , Hypor Inc, Regina, SK, Canada
Chunyan Zhang , University of Alberta, Edmonton, AB, Canada
Abe Huisman , Hendrix Genetics, Boxmeer, Netherlands
Zhiquan Wang , University of Alberta, Edmonton, AB, Canada
Abstract Text:

Genomic selection (GS) will create a paradigm shift in pig genetic improvement programs. It will be especially useful in genetic improvement of pork quality traits because these traits are not only economically important but also difficult and expensive to measure. Data on 1,948 commercial crossbred pigs genotyped with the Illumina PorcineSNP60 Beadchip were used to develop genomic prediction equations for pork pH using GBLUP method. The accuracy of prediction for crossbred animals was 0.25 after 10-fold cross-validation. Application of the prediction model to the parental Duroc pure lines showed an accuracy of prediction between the EBV and GEBV of 0.21. We conclude that GS can be applied to the parental purebred lines without substantial loss of prediction accuracy. Future investigations including dominance effects in the genomic prediction model will be explored to further improve genomic prediction accuracy in the parental population.

Keywords:

genomic selection

pork pH

swine