Estimación bayesiana de componentes de (co) varianza en Brangus argentino para caracteres de res mediante el algoritmo FCG

• Autores: Cantet, Rodolfo Juan Carlos; Birchmeier, Ana Nélida
• Año de publicación: 2010
• Idioma: español castellano
• Tipo de recurso: artículo
• Fuente: Agriscientia; Vol.27, no.1; 19-26; https://revistas.unc.edu.ar/index.php/agris/
• Materia: CO VARIANCE COMPONENTS; BRANGUS; CARCASS TRAITS; FCG ALGORITHM; BOS
• Institución: Universidad de Buenos Aires. Facultad de Agronomía

Fil: Cantet, Rodolfo Juan Carlos. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.
Fil: Birchmeier, Ana Nélida. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Animal. Buenos Aires, Argentina.
Data on 2273 Brangus young bulls and heifers were used to estimate heritabilities (h2) and genetics and environmental correlations for ultrasound carcass measures. Records were from the genetic evaluation program of Asociación Argentina de Brangus. Traits measured were rib-eye area (AOB), marbling (MB), back-fat thickness (GD), and hip-fat thickness (GC). Average ages of measure were 641 days in males and 685 in females. The genetic and environmental dispersion parameters were estimated by a conjugate Bayesian algorithm (FCG). Estimates of h2 were 0,22, 0,16, 0,12, and 0,21, for AOB, GD, CC, and MB, respectively. In general, estimates of genetic and environmental correlations were close to the average published values. Even tough estimates of h2 were below the average of published estimates for beef cattle, the additive genetic variation found in the current study would lead to a moderate response to selection - using predictions of breeding value that are calculated with the estimate parameters.