1Grupo de Melhoramento Animal de Mato Grosso (GMAT),Instituto de Ciências Agrárias e Tecnológicas,Campus Universitário de Rondonópolis,Universidade Federal de Mato Grosso,CEP 78735-901,Rondonópolis,MT,Brazil.
3Embrapa Gado de Corte,CEP 79106-550,Campo Grande,MS,Brazil.
Animal. 2018 Sep;12(9):1807-1814. doi: 10.1017/S1751731117003457. Epub 2017 Dec 22.
Longer-lived cows tend to be more profitable and the stayability trait is a selection criterion correlated to longevity. An alternative to the traditional approach to evaluate stayability is its definition based on consecutive calvings, whose main advantage is the more accurate evaluation of young bulls. However, no study using this alternative approach has been conducted for Zebu breeds. Therefore, the objective of this study was to compare linear random regression models to fit stayability to consecutive calvings of Guzerá, Nelore and Tabapuã cows and to estimate genetic parameters for this trait in the respective breeds. Data up to the eighth calving were used. The models included the fixed effects of age at first calving and year-season of birth of the cow and the random effects of contemporary group, additive genetic, permanent environmental and residual. Random regressions were modeled by orthogonal Legendre polynomials of order 1 to 4 (2 to 5 coefficients) for contemporary group, additive genetic and permanent environmental effects. Using Deviance Information Criterion as the selection criterion, the model with 4 regression coefficients for each effect was the most adequate for the Nelore and Tabapuã breeds and the model with 5 coefficients is recommended for the Guzerá breed. For Guzerá, heritabilities ranged from 0.05 to 0.08, showing a quadratic trend with a peak between the fourth and sixth calving. For the Nelore and Tabapuã breeds, the estimates ranged from 0.03 to 0.07 and from 0.03 to 0.08, respectively, and increased with increasing calving number. The additive genetic correlations exhibited a similar trend among breeds and were higher for stayability between closer calvings. Even between more distant calvings (second v. eighth), stayability showed a moderate to high genetic correlation, which was 0.77, 0.57 and 0.79 for the Guzerá, Nelore and Tabapuã breeds, respectively. For Guzerá, when the models with 4 or 5 regression coefficients were compared, the rank correlations between predicted breeding values for the intercept were always higher than 0.99, indicating the possibility of practical application of the least parameterized model. In conclusion, the model with 4 random regression coefficients is recommended for the genetic evaluation of stayability to consecutive calvings in Zebu cattle.
寿命较长的奶牛往往更有利可图,而持久力是与长寿相关的选择标准。替代传统方法评估持久力的方法是基于连续产犊的定义,其主要优点是更准确地评估年轻公牛。然而,对于瘤牛品种,尚未进行基于这种替代方法的研究。因此,本研究的目的是比较线性随机回归模型,以适应 Guzerá、Nelore 和 Tabapuã 奶牛的连续产犊,并估计各自品种中该性状的遗传参数。使用了截止到第八次产犊的数据。模型包括奶牛首次产犊时的年龄和出生的年-季节的固定效应以及当代群体、加性遗传、永久环境和残差的随机效应。对当代群体、加性遗传和永久环境效应的随机回归进行了正交勒让德多项式的一阶到四阶(2 到 5 个系数)建模。使用偏差信息准则作为选择标准,对于 Nelore 和 Tabapuã 品种,每个效应具有 4 个回归系数的模型是最合适的,而对于 Guzerá 品种,推荐具有 5 个系数的模型。对于 Guzerá,遗传力在 0.05 到 0.08 之间,呈现出随着第四次到第六次产犊的二次趋势。对于 Nelore 和 Tabapuã 品种,估计值分别在 0.03 到 0.07 和 0.03 到 0.08 之间,随着产犊次数的增加而增加。加性遗传相关在品种之间表现出相似的趋势,并且在更近的产犊之间的持久力更高。即使在更远的产犊(第二次与第八次)之间,持久力也表现出中度到高度的遗传相关性,分别为 Guzerá、Nelore 和 Tabapuã 品种的 0.77、0.57 和 0.79。对于 Guzerá,当比较具有 4 个或 5 个回归系数的模型时,截距预测育种值之间的秩相关总是高于 0.99,表明最参数化模型的实际应用是可能的。总之,对于瘤牛的连续产犊的持久力遗传评估,推荐使用具有 4 个随机回归系数的模型。