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首页> 外文期刊>Journal of Animal Science and Technology >Methods for Genetic Parameter Estimations of Carcass Weight, Longissimus Muscle Area and Marbling Score in Korean Cattle
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Methods for Genetic Parameter Estimations of Carcass Weight, Longissimus Muscle Area and Marbling Score in Korean Cattle

机译:红牛Car体重量,背最长肌面积和大理石花纹的遗传参数估计方法

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摘要

This study is to investigate the amount of biased estimates for heritability and genetic correlation according to data structure on marbling scores in Korean cattle. Breeding population with 5 generations were simulated by way of selection for carcassweight. Longissimus muscle area and latent values of marbling scores and random mating. Latent variables of marbling scores were categorized into five by the thresholds of 0, 1, 2, and 3 SD(DS1) or seven by the thresholds of -2, -1, 0, 1, 2, and 3 SD(DS2). Variance components and genetic parameters(Heritabilities and Genetic correlations) were estimated by restricted maximum likelihood on multivariate linear mixed animal models and by Gibbs sampling algorithms on multivariate threshold mixed animal models in DS1 and DS2. Simulation was performed for 10 replicates and averages and empirical standard deviation were calculated. Using REML, heritabilitis of marbling score were under-estimated as 0.315 and 0.462 on DS1 and DS2, respectively, with comparison of the parameter(0.500). Otherwise, using Gibbs sampling in the multivariate threshold animal models, these estimates did not significantly differ to the parameter. Residual correlations of marbling score to other traits were reduced with comparing theparameters when using REML algorithm with assuming linear and normal distribution. This would be due to loss of information and therefore, reduced variation on marbling score. As concluding, genetic variation of marbling would be well defined if liability concepts were adopted on marbling score and implemented threshold mixed model on genetic parameter estimation in Korean cattle.
机译:本研究旨在根据韩国牛大理石花纹得分的数据结构调查遗传力和遗传相关性的偏倚估计值。通过选择car体重来模拟5代的繁殖种群。背最长肌肌肉面积和大理石花纹分数和随机交配的潜值。大理石花纹得分的潜在变量按阈值0、1、2和3 SD(DS1)分为5个,按阈值-2,-1、0、1、2和3 SD(DS2)分为7个。方差成分和遗传参数(遗传性和遗传相关性)是通过在多元线性混合动物模型上限制最大似然性以及在DS1和DS2中使用多元阈值混合动物模型上的Gibbs采样算法估算的。模拟进行了10次重复,并计算了平均值和经验标准偏差。使用REML,通过比较参数(0.500),在DS1和DS2上将大理石花纹评分的疝气炎分别低估为0.315和0.462。否则,在多元阈值动物模型中使用吉布斯采样,这些估计与参数没有显着差异。通过比较使用线性和正态分布的REML算法时的参数,降低了大理石花纹分数与其他性状的残留相关性。这将是由于信息丢失,因此减少了大理石花纹分数的变化。结论是,如果对大理石纹评分采用责任概念并在韩国牛的遗传参数估计中采用阈值混合模型,则可以很好地定义大理石纹的遗传变异。

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