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首页> 外文期刊>Asian-Australasian Journal of Animal Sciences >Estimation of Genetic Parameters for Milk Production Traits Using a Random Regression Test-day Model in Holstein Cows in Korea
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Estimation of Genetic Parameters for Milk Production Traits Using a Random Regression Test-day Model in Holstein Cows in Korea

机译:利用韩国荷斯坦奶牛的随机回归试验日模型估算牛奶生产性状的遗传参数

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摘要

This study was conducted to compare three models: two random regression models with and without considering heterogeneity in the residual variances and a lactation model (LM) for evaluating the genetic ability of Holstein cows in Korea. Two datasets were prepared for this study. To apply the test-day random regression model, 94,390 test-day records were prepared from 15,263 cows. The second data set consisted of 14,704 lactation records covering milk production over 305 days. Raw milk yield and composition data were collected from 1998 to 2002 by the National Agricultural Cooperative Federation's dairy cattle improvement center by way of its milk testing program, which is nationally based. The pedigree information for this analysis was collected by the Korean Animal Improvement Association. The random regression models (RRMs) are single-trait animal models that consider each lactation record as an independent trait. Estimates of covariance were assumed to be different ones. In order to consider heterogeneity of residual variance in the analysis, test-days were classified into 29 classes. By considering heterogeneity of residual variance, variation for lactation performance in the early lactation classes was higher than during the middle classes and variance was lower in the late lactation classes than in the other two classes. This may be due to feeding management system and physiological properties of Holstein cows in Korea. Over classes e6 to e26 (covering 61 to 270 DIM), there was little change in residual variance, suggesting that a model with homogeneity of variance be used restricting the data to these days only. Estimates of heritability for milk yield ranged from 0.154 to 0.455, for which the estimates were variable depending on different lactation periods. Most of the heritabilities for milk yield using the RRM were higher than in the lactation model, and the estimate of genetic variance of milk yield was lower in the late lactation period than in the early or middle periods.
机译:这项研究的目的是比较三种模型:两种随机回归模型,其中有和没有考虑残留方差的异质性;以及一种泌乳模型(LM),用于评估韩国荷斯坦奶牛的遗传能力。为该研究准备了两个数据集。为了应用测试日随机回归模型,从15263头母牛中制备了94390个测试日记录。第二个数据集包含14,704个泌乳记录,涵盖了305天的奶产量。 1998年至2002年,全国农业合作社联合会的奶牛改良中心通过全国范围内的牛奶测试计划收集了原奶的产量和成分数据。该分析的谱系信息由韩国动物改良协会收集。随机回归模型(RRM)是将每个泌乳记录视为独立性状的单性状动物模型。协方差的估计被认为是不同的。为了考虑分析中残差的异质性,将测试日分为29类。考虑到剩余方差的异质性,早期泌乳班的泌乳性能差异要比中产阶级高,而晚期哺乳班的泌乳性能差异要比其他两个班低。这可能是由于韩国荷斯坦奶牛的饲喂管理系统和生理特性所致。在e6到e26类(覆盖61到270 DIM)上,剩余方差几乎没有变化,这表明使用具有方差同质性的模型将数据限制为仅此几天。牛奶产量的遗传力估计值范围在0.154至0.455之间,其估计值根据不同的哺乳期而变化。使用RRM的大多数产奶遗传率均高于泌乳模型,并且在泌乳后期与早期或中期相比,产奶遗传变异的估计值较低。

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