Genomewide association study for production and meat quality traits in Canchim beef cattle 1

• Published in: Journal of animal science Vol. 95; no. 8; p. 3381
• Main Authors: Santiago, G G, Siqueira, F, Cardoso, F F, Regitano, L C A, Ventura, R, Sollero, B P, Júnior, M D Souza, Mokry, F B, Ferreira, A B R, Júnior, R A A Torres
• Format: Journal Article
• Language: English
• Published: Champaign Oxford University Press 01-08-2017
• Subjects: Bayesian analysis; Beef; Beef cattle; Bovidae; Cattle; Eye; Functional analysis; Genes; Genetic diversity; Genetic improvement; Genetic variance; Genetics; Genomes; Genotypes; Meat; Meat quality; Offspring; Quantitative trait loci; Supply chains
• ISSN: 0021-8812; 1525-3163
• DOI: 10.2527/jas2017.1570

The commercial value of the bovine carcass is determined by a set of traits, such as weight, yield, back fat thickness, and marbling; therefore, the genetic improvement of growth, meat, and carcass quality traits is an important tool to add value to the supply chain. Genomewide association studies (GWAS) enable the identification of loci that control phenotypic expression of quantitative traits (QTL). Therefore, the objective of this work was to perform a GWAS to identify genomic regions and genes associated with growth, carcass traits, and meat quality in Canchim beef cattle. These traits were yearling weight (YW), rib eye area (REA), back fat thickness (BFT), and marbling (MARB). To increase sample size and marker density, genotype imputation was performed, and only markers imputed with greater than 95% accuracy were used. Genomewide association study was performed using a Bayesian approach, by the Bayes B statistical method, incorporating genotypes and phenotypes from 614 animals from both the Canchim breed and the MA genetic group (offspring of Charolais bulls and one-half Canchim + one-half Zebu cows). This investigation identified 1 and 4 genomic regions explaining 0.23 and 7.35% of the genetic variance for REA and YW, respectively. These regions harbor a total of 19 genes, 7 of which were classified for biological functions by functional analysis. Significant associations were not observed for BFT and MARB. The identification of QTL that had been previously described in the literature reinforces associations found in this study.