| Literature DB >> 28214693 |
Hermenegildo Lucas Justino Chiaia1, Elisa Peripoli2, Rafael Medeiros de Oliveira Silva2, Carolyn Aboujaoude2, Fabiele Loise Braga Feitosa2, Marcos Vinicius Antunes de Lemos2, Mariana Piatto Berton2, Bianca Ferreira Olivieri2, Rafael Espigolan2, Rafael Lara Tonussi2, Daniel Gustavo Mansan Gordo2, Tiago Bresolin2, Ana Fabrícia Braga Magalhães2, Gerardo Alves Fernandes Júnior2, Lúcia Galvão de Albuquerque2, Henrique Nunes de Oliveira2, Joyce de Jesus Mangini Furlan3, Adrielle Mathias Ferrinho3, Lenise Freitas Mueller4, Humberto Tonhati2, Angélica Simone Cravo Pereira3, Fernando Baldi2.
Abstract
The objective of this study was to compare SNP-BLUP, BayesCπ, BayesC and Bayesian Lasso methodologies to predict the direct genomic value for saturated, monounsaturated, and polyunsaturated fatty acid profile, omega 3 and 6 in the Longissimus thoracis muscle of Nellore cattle finished in feedlot. A total of 963 Nellore bulls with phenotype for fatty acid profiles, were genotyped using the Illumina BovineHD BeadChip (Illumina, San Diego, CA) with 777,962 SNP. The predictive ability was evaluated using cross validation. To compare the methodologies, the correlation between DGV and pseudo-phenotypes was calculated. The accuracy varied from -0.40 to 0.62. Our results indicate that none of the methods excelled in terms of accuracy, however, the SNP-BLUP method allows obtaining less biased genomic evaluations, thereby; this method is more feasible when taking into account the analyses' operating cost. Despite the lowest bias observed for EBV, the adjusted phenotype is the preferred pseudophenotype considering the genomic prediction accuracies regarding the context of the present study.Entities:
Keywords: Bos indicus; Genomic selection; Lipid profile; Meat quality
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Year: 2017 PMID： 28214693 DOI： 10.1016/j.meatsci.2017.02.007
Source DB: PubMed Journal: Meat Sci ISSN： 0309-1740 Impact factor: 5.209