Van Melis M H, Oliveira H N, Eler J P, Ferraz J B S, Casellas J, Varona L
Grupo de Melhoramento Animal e Biotecnologia, Faculdade de Zootecnia e Engenharia de Alimentos da Universidade de São Paulo, Pirassununga, SP, Brasil.
Genet Mol Res. 2010 Feb 2;9(1):176-87. doi: 10.4238/vol9-1gmr710.
Survival or longevity is an economically important trait in beef cattle. The main inconvenience for its inclusion in selection criteria is delayed recording of phenotypic data and the high computational demand for including survival in proportional hazard models. Thus, identification of a longevity-correlated trait that could be recorded early in life would be very useful for selection purposes. We estimated the genetic relationship of survival with productive and reproductive traits in Nellore cattle, including weaning weight (WW), post-weaning growth (PWG), muscularity (MUSC), scrotal circumference at 18 months (SC18), and heifer pregnancy (HP). Survival was measured in discrete time intervals and modeled through a sequential threshold model. Five independent bivariate Bayesian analyses were performed, accounting for cow survival and the five productive and reproductive traits. Posterior mean estimates for heritability (standard deviation in parentheses) were 0.55 (0.01) for WW, 0.25 (0.01) for PWG, 0.23 (0.01) for MUSC, and 0.48 (0.01) for SC18. The posterior mean estimates (95% confidence interval in parentheses) for the genetic correlation with survival were 0.16 (0.13-0.19), 0.30 (0.25-0.34), 0.31 (0.25- 0.36), 0.07 (0.02-0.12), and 0.82 (0.78-0.86) for WW, PWG, MUSC, SC18, and HP, respectively. Based on the high genetic correlation and heritability (0.54) posterior mean estimates for HP, the expected progeny difference for HP can be used to select bulls for longevity, as well as for post-weaning gain and muscle score.
在肉牛中,存活或长寿是一个具有重要经济意义的性状。将其纳入选择标准的主要不便之处在于表型数据记录延迟,以及在比例风险模型中纳入存活情况时计算需求较高。因此,识别一种在生命早期即可记录的与长寿相关的性状对于选择目的将非常有用。我们估计了内洛尔牛存活与生产和繁殖性状之间的遗传关系,这些性状包括断奶体重(WW)、断奶后生长(PWG)、肌肉发达程度(MUSC)、18月龄阴囊周长(SC18)和小母牛怀孕率(HP)。存活情况按离散时间间隔进行测量,并通过顺序阈值模型进行建模。进行了五次独立的双变量贝叶斯分析,考虑了母牛存活情况以及五个生产和繁殖性状。遗传力的后验均值估计值(括号内为标准差)分别为:WW为0.55(0.01),PWG为0.25(0.01),MUSC为0.23(0.01),SC18为0.48(0.01)。与存活的遗传相关性的后验均值估计值(括号内为95%置信区间)分别为:WW为0.16(0.13 - 0.19),PWG为0.30(0.25 - 0.34),MUSC为0.31(0.25 - 0.36),SC18为0.07(0.02 - 0.12),HP为0.82(0.78 - 0.