Genome-wide efficient mixed-model study for meat quality in Nellore cattle

• Published in: Journal of animal science Vol. 94; pp. 428 - 429
• Main Authors: Buss, C E, Tizioto, P C, Oliveira, P S N, Mudadu, M A, Cesar, A S M, Ventura, R V, Afonso, J, Lima, A O D, Coutinho, L L, Tullio, R R, Regitano, L C A
• Format: Journal Article
• Language: English
• Published: Champaign Oxford University Press 01.10.2016
• Subjects: Bayesian analysis; Beef; Beef cattle; Biosynthesis; Bovidae; Cattle; Cattle industry; Cooking; Dynamin; Fatty acids; Genetic diversity; Genomes; Glycan; Lipid metabolism; Meat; Meat quality; Metabolism; Muscles; Phenotypes; Phosphatidylinositol; Polymorphism; Quantitative trait loci; Ribonucleotide reductase; Single-nucleotide polymorphism

The quality of meat, which includes several traits such as tenderness, juiciness, and fat thickness, is essential for the beef industry. Previous genome-wide association studies (GWAS) using Bayesian methods have shown that Brazilian Nellore cattle have enough genetic variation for improvement of th...