首页> 美国卫生研究院文献>Asian-Australasian Journal of Animal Sciences >Estimation of Genetic Parameters for First Lactation Monthly Test-day Milk Yields using Random Regression Test Day Model in Karan Fries Cattle
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Estimation of Genetic Parameters for First Lactation Monthly Test-day Milk Yields using Random Regression Test Day Model in Karan Fries Cattle

机译:使用随机回归试验日模型在Karan薯条牛中首次泌乳月试验日奶产量的遗传参数估计

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摘要

A single trait linear mixed random regression test-day model was applied for the first time for analyzing the first lactation monthly test-day milk yield records in Karan Fries cattle. The test-day milk yield data was modeled using a random regression model (RRM) considering different order of Legendre polynomial for the additive genetic effect (4th order) and the permanent environmental effect (5th order). Data pertaining to 1,583 lactation records spread over a period of 30 years were recorded and analyzed in the study. The variance component, heritability and genetic correlations among test-day milk yields were estimated using RRM. RRM heritability estimates of test-day milk yield varied from 0.11 to 0.22 in different test-day records. The estimates of genetic correlations between different test-day milk yields ranged 0.01 (test-day 1 [TD-1] and TD-11) to 0.99 (TD-4 and TD-5). The magnitudes of genetic correlations between test-day milk yields decreased as the interval between test-days increased and adjacent test-day had higher correlations. Additive genetic and permanent environment variances were higher for test-day milk yields at both ends of lactation. The residual variance was observed to be lower than the permanent environment variance for all the test-day milk yields.
机译:首次使用单性状线性混合随机回归测试日模型来分析Karan Fries牛的第一个泌乳月度测试日奶产量记录。使用随机回归模型(RRM)对测试日的牛奶产量数据进行建模,考虑了累加勒让德多项式的不同阶次的累加遗传效应(第4阶)和永久环境效应(第5阶)。在研究中记录并分析了涉及30年期间的1,583个泌乳记录的数据。使用RRM估算了试验日产奶量之间的方差成分,遗传力和遗传相关性。在不同的试验日记录中,试验日产奶量的RRM遗传力估计值从0.11到0.22不等。试验日不同产奶量之间的遗传相关性估计范围为0.01(试验日1 [TD-1]和TD-11)至0.99(TD-4和TD-5)。随着试验日之间的间隔增加,并且相邻试验日之间的相关性越高,试验日产奶量之间的遗传相关性强度就降低。在哺乳期两端,测试日牛奶产量的附加遗传和永久环境差异较高。对于所有测试日的牛奶产量,观察到的残留差异均低于永久性环境差异。

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