Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/23287
Tipo: Artigo
Título: Genomic selection for boar taint compounds and carcass traits in a commercial pig population
Autor(es): Campos, Carolina Filardi de
Lopes, Marcos Soares
Silva, Fabyano Fonseca e
Veroneze, Renata
Knol, Egbert F.
Lopes, Paulo Sávio
Guimarães, Simone E.F.
Abstract: This study aimed to compare two different Genome-Wide Selection (GWS) methods (Ridge Regression BLUP − RR-BLUP and Bayesian LASSO − BL) to predict the genomic estimated breeding values (GEBV) of four phenotypes, including two boar taint compounds, i.e., the concentrations of androstenone (andro) and skatole (ska), and two carcass traits, i.e., backfat thickness (fat) and loin depth (loin), which were measured in a commercial male pig line. Six hundred twenty-two boars were genotyped for 2,500 previously selected single nucleotide polymorphisms (SNPs). The accuracies of the GEBV using both methods were estimated based on Jack-knife cross-validation. The BL showed the best performance for the andro, ska and loin traits, which had accuracy values of 0.65, 0.58 and 0.33, respectively; for the fat trait, the RR-BLUP accuracy of 0.61 outperformed the BL accuracy of 0.56. Considering that BL was more accurate for the majority of the traits, this method is the most favoured for GWS under the conditions of this study. The most relevant SNPs for each trait were located in the chromosome regions that were previously indicated as QTL regions in other studies, i.e., SSC6 for andro and ska, SSC2 for fat, and SSC11, SSC15 and SSC17 for loin.
Palavras-chave: Genomic estimated breeding values
Androstenone
Skatole
Backfat
Editor: Livestock Science
Tipo de Acesso: Open Access
URI: https://doi.org/10.1016/j.livsci.2015.01.018
http://www.locus.ufv.br/handle/123456789/23287
Data do documento: Abr-2015
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