Analysis of longitudinal data of Nellore cattle from performance test at pasture using random regression model
作者: Fernando Brito LopesCláudio Ulhôa MagnaboscoFernanda PauliniMarcelo Corrêa da SilvaEliane Sayuri MiyagiRaysildo Barbosa Lôbo
作者单位: 1Embrapa Cerrado / Capes
2Embrapa Cerrado/CNPq
3Program in Animal Biology, Universidade de Brasília
4Program in Animal Science, Federal University of Goiás
5Brazilian Society of Breeders and Researchers, Ribeirão Preto
刊名: SpringerPlus, 2012, Vol.1 (1), pp.1-7
来源数据库: Springer Journal
DOI: 10.1186/2193-1801-1-49
关键词: Animal breedingBeef cattleHeritabilityZebu
英文摘要: Abstract(#br)This study was carried out to estimate (co)variance components and genetic parameters for live weight of Nellore cattle from Performance Test of Young Bulls using random regression models. Data of weights and ages of 925 weaned males was used. The animal model included the fixed effect of contemporary group, age of the animal at weighing as a covariate and as random effects it was considered the effect of additive genetic and permanent environment of the animal. The residue was modeled considering four classes of variances. The models were compared based on the Bayesian information criteria of Akaike and Schwartz. The model polynomial of fourth and sixth order for the direct additive genetic effects and permanent environment of the animal, respectively was the most...
全文获取路径: Springer  (合作)

  • regression 海退
  • Analysis 分析
  • model 模型
  • pasture 牧场
  • longitudinal 纵向的
  • random 随机的
  • cattle 
  • performance 性能