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首页> 外文期刊>Journal of dairy research >Genotype by environment interaction for fat and protein yields via reaction norms in Holstein cattle of southern Brazil
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Genotype by environment interaction for fat and protein yields via reaction norms in Holstein cattle of southern Brazil

机译：通过南巴西罗斯坦牛的反应规范，脂肪和蛋白质产量的环境相互作用基因型

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摘要

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 environ-ment interaction using reaction norms. Fat yield (FY) and protein yield (PY) data of 67 360 primiparous cows were obtained from the database of the Parana 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 gen-etic 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 gen-etic 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.
机译：我们的目标是评估巴西南部荷斯坦牛群的遗传优势，响应于通过使用反应规范的环境温度分析基因型来评估区域温度的变化。脂肪产量（FY）和蛋白质产量（PY）77 360孕奶牛的数据来自巴西（APCBRH）的数据库。将区域平均年度温度用作环境变量。采用随机回归模型应用了使用锁骨软件的限制最大可能性（REML）算法的混合模型。评估了15个最具代表性公牛的Gen-eraty优点，这取决于温度梯度。 FY的遗传力范围为0.21至0.27，PY为0.14至0.20。对于两种特征，环境梯度之间观察到的基因近距离相关性高于0.80。检测到两个特征的公牛略微重新划分的公牛，展示了对FY和Py进行环境相互作用的非相关基因型。因此，不需要包含巴西南部荷斯坦品种南部遗传评价模型中的温度效应。

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