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使用不同模型对牛生长激素对荷斯坦奶牛影响进行校正后,对产量性状和体细胞评分之间相关性的估计。

Estimates of correlations among yield traits and somatic cell score with different models to adjust for bovine somatotropin effects on Holstein dairy cows.

作者信息

Al-Seaf A, Keown J F, Van Vleck L D

机构信息

Department of Animal Science, University of Nebraska, Lincoln, NE, USA.

出版信息

Genet Mol Res. 2007 Mar 9;6(1):67-78.

Abstract

Records of Holstein cows from the Dairy Records Processing Center at Raleigh, NC were edited to obtain three data sets: 65,720 first, 50,694 second, and 65,445 later lactations. Correlations among yield traits and somatic cell score were estimated with three different models: 1) bovine somatotropin (bST) administration ignored, 2) bST administration as a fixed effect and 3) administration of bST as part of the contemporary group (herd-year-month-bST). Heritability estimates ranged from 0.13 to 0.17 for milk, 0.12 to 0.20 for fat, 0.14 to 0.16 for protein yields, and 0.08 to 0.09 for somatic cell score. Estimates were less for later than first lactations. Estimates of genetic correlations among yields ranged from 0.35 to 0.85 with no important differences between estimates with the 3 models. Estimates for lactation 2 agreed with estimates for lactation 1. Estimates of genetic correlations for later lactations were generally greater than for lactations 1 and 2 except between milk and protein yields. Estimates of genetic correlations between yields and somatic cell score were mostly negative or small (-0.45 to 0.11). Estimates of environmental correlations among yield traits were similar with all models (0.77 to 0.97). Estimates of environmental correlations between yields and somatic cell score were negative (-0.22 to -0.14). Estimates of phenotypic correlations among yield traits ranged from 0.70 to 0.95. Estimates of phenotypic correlations between yields and somatic cell score were small and negative. For all three data sets and all traits, no important differences in estimates of genetic parameters were found for the two models that adjusted for bST and the model that did not.

摘要

对北卡罗来纳州罗利市乳制品记录处理中心的荷斯坦奶牛记录进行编辑,以获得三个数据集:65720条首次泌乳记录、50694条第二次泌乳记录和65445条后期泌乳记录。使用三种不同模型估计产奶性状与体细胞评分之间的相关性:1)忽略牛生长激素(bST)的使用;2)将bST的使用作为固定效应;3)将bST的使用作为当代组(牛群-年份-月份-bST)的一部分。牛奶的遗传力估计值在0.13至0.17之间,脂肪为0.12至0.20,蛋白质产量为0.14至0.16,体细胞评分为0.08至0.09。后期泌乳的估计值低于首次泌乳。三种模型估计的产奶量之间的遗传相关性在0.35至0.85之间,估计值之间没有重要差异。第二次泌乳的估计值与第一次泌乳的估计值一致。后期泌乳的遗传相关性估计值通常大于第一次和第二次泌乳,牛奶和蛋白质产量之间除外。产奶量与体细胞评分之间的遗传相关性估计值大多为负或较小(-0.45至0.11)。所有模型中产奶性状之间的环境相关性估计值相似(0.77至0.97)。产奶量与体细胞评分之间的环境相关性估计值为负(-0.22至-0.14)。产奶性状之间的表型相关性估计值在0.70至0.95之间。产奶量与体细胞评分之间的表型相关性估计值较小且为负。对于所有三个数据集和所有性状,在调整bST的两个模型和未调整bST的模型之间,遗传参数估计值没有重要差异。

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