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首页> 外文期刊>Czech Journal of Animal Science >Genetic Evaluation of Growth Traits in Nellore Cattle through Multi-trait and Random Regression Models
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Genetic Evaluation of Growth Traits in Nellore Cattle through Multi-trait and Random Regression Models

机译：通过多特征和随机回归模型的Nellore牛生长性状的遗传评价

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摘要

We aimed to evaluate different orders of fixed and random effects in random regression models (RRM) based on Legendre orthogonal polynomials as well as to verify the feasibility of these models to describe growth curves in Nellore cattle. The proposed RRM were also compared to multi-trait models (MTM). Variance components and genetic parameters estimates were performed via REML for all models. Twelve RRM were compared through Akaike (AIC) and Bayesian (BIC) information criteria. The model of order three for the fixed curve and four for all random effects (direct genetic, maternal genetic, permanent environment, and maternal permanent environment) fits best. Estimates of direct genetic, maternal genetic, maternal permanent environment, permanent environment, phenotypic and residual variances were similar between MTM and RRM. Heritability estimates were higher via RRM. We presented perspectives for the use of RRM for genetic evaluation of growth traits in Brazilian Nellore cattle. In general, moderate heritability estimates were obtained for the majority of studied traits when using RRM. Additionally, the precision of these estimates was higher when using RRM instead of MTM. However, concerns about the variance components estimates in advanced ages via Legendre polynomial must be taken into account in future studies.
机译：我们的旨在根据Legendre正交多项式评估随机回归模型（RRM）中的不同订单和随机效果的顺序，以及验证这些模型的可行性来描述Nellore牛中的生长曲线。拟议的RRM也与多特征模型（MTM）进行比较。通过REML进行所有模型进行方差分量和遗传参数估计。通过Akaike（AIC）和贝叶斯（BIC）信息标准进行了12个RRM。固定曲线的三个订单型号和四种用于所有随机效应（直接遗传，母体遗传，永久环境和母体永久环境）最适合。在MTM和RRM之间相似，直接遗传，母体遗传，孕产妇永久性环境，永久性环境，表型和残留差异相似。遗传性估计通过RRM较高。我们提出了利用RRM在巴西联合牛生长性状的遗传评价中使用RRM的观点。通常，在使用RRM时，为大多数研究的性状获得了中等遗传性估计。此外，当使用RRM而不是MTM时，这些估计的精度更高。然而，在未来的研究中，必须考虑到通过Legendre多项式的高级年龄差异估计的担忧。

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