Associação genética de escores de conformação com características de crescimento em bovinos da raça angus

Translated title of the contribution: Genetic association of conformation scores with growth traits in Angus breed cattle

Dionéia Magda Everling, Paulo Roberto Nogara Rorato, Ronyere Olegário de Araujo, Arione Augusti Boligon, Tiago Bresolin, Mariana de Almeida Dornelles, Tomas Weber, Paulo Santana Pacheco, Leonardo Talavera Campos

Research output: Contribution to journalArticlepeer-review

Abstract

The objective of this work was determine the genetic association between visual scores of conformation and the traits of daily average weight gain and weight gain rate in Angus breed cattle at weaning and yearling. The components of covariance were estimated by a multitrait animal model using the Bayesian inference method, assuming a linear model for: daily average weight gain from birth to weaning (BWG) and from weaning to yearling (WYG); and weight gain rate from birth to weaning (BWR) and from weaning to yearling (WYR). A nonlinear model (threshold) was used for conformation scores at weaning (WC) and at yearling (YC). The a posteriori means for heritability were: 0.12±0.023 (WC), 0.15±0.020 (BWG), 0.15±0.024 (BWR), 0.17±0.020 (YC), 0.17±0.023 (WYG) and 0.17±0,023 (WYR). The genetic correlations ranged from -0.09±0.11 to 0.60±0.06, between WC, YC, and the daily average weight gain and weight gain rate. The correlation between WC and YC was 0.52±0.089. The direct selection for visual scores of conformation, average daily gain and weight gain rate respond slowly to selection, both at weaning and yearling.

Translated title of the contributionGenetic association of conformation scores with growth traits in Angus breed cattle
Original languagePortuguese
Pages (from-to)1524-1532
Number of pages9
JournalPesquisa Agropecuaria Brasileira
Volume47
Issue number10
DOIs
StatePublished - Oct 2012
Externally publishedYes

Keywords

  • Bayesian inference
  • Beef cattle
  • Gibbs' sampler
  • Variance component

ASJC Scopus subject areas

  • Animal Science and Zoology
  • Agronomy and Crop Science

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