P0573
A Genome-Wide Association Study of Meat Tenderness in Nelore Beef Cattle

Date: Monday, January 14, 2013
Room: Grand Exhibit Hall
Polyana C. Tizioto , Universidade Federal de São Carlos, Sao Carlos, Sao Paulo, Brazil
Jared Decker , Division of Animal Science, University of Missouri, Columbia, MO
Jeremy Taylor , Division of Animal Science, University of Missouri, Columbia, MO
Robert Schnabel , University of Missouri, Columbia, MO
Mauricio A Mudadu , Embrapa Pecuária Sudeste, São Carlos, SP, Brazil
Luiz Lehmann Coutinho , ESALQ– USP, Piracicaba, SP, Brazil
Gerson B. Mourão , ESALQ– USP, Piracicaba, SP, Brazil
Tad Sonstegard , USDA-ARS-ANRI-BFGL, Beltsville, MD
Antonio N. Rosa , Embrapa Gado de Corte, Campo Grande, MS, Brazil
Mauricio M. Alencar , Embrapa Pecuária Sudeste, São Carlos, Brazil
Rymer R. Tullio , Embrapa Pecuária Sudeste, São Carlos, SP, Brazil
Sergio R. Medeiros , Embrapa Gado de Corte, Campo Grande, MS, Brazil
Renata T. Nassu , Embrapa Pecuária Sudeste, São Carlos, SP, Brazil
Gelson L.D. Feijó , Embrapa Gado de Corte, Campo Grande, MS, Brazil
Fabiane Siqueira , Embrapa Gado de Corte, Campo Grande, MS, Brazil
Luciana C.A. Regitano , Embrapa Pecuária Sudeste, São Carlos, SP, Brazil
Meat tenderness has been identified as one of the major concerns of the beef industry, especially in animals with indicine ancestry. Most important production traits in cattle are polygenic and are controlled by a large number of quantitative trait loci (QTLs). Genome-wide association studies utilizing Bayesian or GBLUP models used for genomic selection are increasingly being used to identify QTLs associated with complex traits. Six hundred and four Nelore steers out of 34 sires chosen to represent the main breeding lineages in Brazil, were used to identify QTLs for Warner-Bratzler shear force (WBSF) measured at 14 days post-slaughter. After filtering Kleinfelter individuals (N=1) and for call rate, allele frequency and Hardy-Weinberg equilibrium genotypes were available for 687,681 SNP loci from the Illumina BovineHD BeadChip on both the steers and their sires and 0.80% of missing values were imputed using BEAGLE. The genotypic and residual variances for WBSF were estimated using BayesC (h2=0.095) and the parameter Π was estimated using BayesCΠ. Using these genetic and residual variance, and Π estimates as starting values, BayesB was used to estimate marker effects for WBSF. All analyses were performed using GenSel software. This analysis identified QTLs for meat tenderness in Nelore cattle.