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基因型与环境互作对巴西南部荷斯坦奶牛脂肪和蛋白质产量反应规范的影响。

Genotype by environment interaction for fat and protein yields reaction norms in Holstein cattle of southern Brazil.

机构信息

Department of Animal Science, State University of Ponta Grossa, Ponta Grossa, Brazil.

Department of Biological Science, State University of Southwest Bahia, Vitória da Conquista, Brazil.

出版信息

J Dairy Res. 2021 Feb;88(1):16-22. doi: 10.1017/S0022029921000029. Epub 2021 Feb 17.

Abstract

Our objective was to evaluate the genetic merit of Holstein cattle population in southern Brazil in response to variations in the regional temperature by analyzing the genotype by environment interaction using reaction norms. Fat yield (FY) and protein yield (PY) data of 67 360 primiparous cows were obtained from the database of the Paraná Holstein Breeders Association, Brazil (APCBRH). The regional average annual temperature was used as the environmental variable. A random regression model was adopted applying mixed models with Restricted Maximum Likelihood (REML) algorithm using WOMBAT software. The genetic merit of the 15 most representative bulls, depending on the temperature gradient, was evaluated. Heritability ranged from 0.21 to 0.27 for FY and from 0.14 to 0.20 for PY. The genetic correlation observed among the environmental gradients proved to be higher than 0.80 for both traits. Slight reranking of bulls for both traits was detected, demonstrating that non-relevant genotype by environment interaction for FY and PY were observed. Consequently, no inclusion of the temperature effect in the model of genetic evaluation in southern Brazilian Holstein breed is required.

摘要

我们的目标是通过分析反应规范来评估巴西南部荷斯坦牛种群对区域温度变化的遗传优势,以基因型-环境互作为基础。从巴西帕拉纳荷斯坦饲养者协会(APCBRH)的数据库中获得了 67360 头初产奶牛的产脂量(FY)和产蛋白量(PY)数据。区域年平均温度被用作环境变量。采用随机回归模型,应用 WOMBAT 软件的混合模型和限制最大似然(REML)算法。根据温度梯度,评估了 15 头最具代表性公牛的遗传优势。FY 的遗传力在 0.21 到 0.27 之间,PY 的遗传力在 0.14 到 0.20 之间。观察到在环境梯度之间的遗传相关性高于 0.80。两种性状的公牛都有轻微的重新排序,这表明 FY 和 PY 的基因型-环境互作不相关。因此,在巴西南部荷斯坦牛品种的遗传评估模型中不需要考虑温度效应。

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