Selection Indices and Multivariate Analysis Show Similar Results in the Evaluation of Growth and Carcass Traits in Beef Cattle.
作者: Fernando Brito LopesMarcelo Corrêa da SilvaCláudio Ulhôa MagnaboscoMarcelo Goncalves NarcisoRoberto Daniel Sainz
刊名: PLoS ONE, 2017, Vol.11 (1)
来源数据库: Directory of Open Access Journals
DOI: 10.1371/journal.pone.0147180
原始语种摘要: This research evaluated a multivariate approach as an alternative tool for the purpose of selection regarding expected progeny differences (EPDs). Data were fitted using a multi-trait model and consisted of growth traits (birth weight and weights at 120, 210, 365 and 450 days of age) and carcass traits (longissimus muscle area (LMA), back-fat thickness (BF), and rump fat thickness (RF)), registered over 21 years in extensive breeding systems of Polled Nellore cattle in Brazil. Multivariate analyses were performed using standardized (zero mean and unit variance) EPDs. The k mean method revealed that the best fit of data occurred using three clusters (k = 3) (P < 0.001). Estimates of genetic correlation among growth and carcass traits and the estimates of heritability were moderate to high,...
全文获取路径: DOAJ  (合作)
影响因子:3.73 (2012)

  • multivariate 多元
  • selection 选择
  • weights 法码
  • approach 
  • purpose 目的
  • Analysis 分析
  • genetic 遗传的
  • expected 预期
  • variance 离散
  • fitted 配合的