4.3 Article

Genetic parameter estimation for pre- and post-weaning traits in Brahman cattle in Brazil

期刊

TROPICAL ANIMAL HEALTH AND PRODUCTION
卷 46, 期 7, 页码 1271-1278

出版社

SPRINGER
DOI: 10.1007/s11250-014-0640-3

关键词

Animal breeding; Body weight traits; Maternal effects; Multi-trait analysis

资金

  1. National Council of Technological and Scientific Development (CNPq)
  2. Sao Paulo Research Foundation (FAPESP) [13/19335-2]
  3. Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [13/19335-2] Funding Source: FAPESP

向作者/读者索取更多资源

Beef cattle producers in Brazil use body weight traits as breeding program selection criteria due to their great economic importance. The objectives of this study were to evaluate different animal models, estimate genetic parameters, and define the most fitting model for Brahman cattle body weight standardized at 120 (BW120), 210 (BW210), 365 (BW365), 450 (BW450), and 550 (BW550) days of age. To estimate genetic parameters, single-, two-, and multi-trait analyses were performed using the animal model. The likelihood ratio test was verified between all models. For BW120 and BW210, additive direct genetic, maternal genetic, maternal permanent environment, and residual effects were considered, while for BW365 and BW450, additive direct genetic, maternal genetic, and residual effects were considered. Finally, for BW550, additive direct genetic and residual effects were considered. Estimates of direct heritability for BW120 were similar in all analyses; however, for the other traits, multi-trait analysis resulted in higher estimates. The maternal heritability and proportion of maternal permanent environmental variance to total variance were minimal in multi-trait analyses. Genetic, environmental, and phenotypic correlations were of high magnitude between all traits. Multi-trait analyses would aid in the parameter estimation for body weight at older ages because they are usually affected by a lower number of animals with phenotypic information due to culling and mortality.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据