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芬兰艾尔夏奶牛乳蛋白多态性与头胎泌乳生产性状之间的关联

Associations between milk protein polymorphism and first lactation milk production traits in Finnish Ayrshire cows.

作者信息

Ikonen T, Ojala M, Ruottinen O

机构信息

Department of Animal Science, University of Helsinki, Finland.

出版信息

J Dairy Sci. 1999 May;82(5):1026-33. doi: 10.3168/jds.S0022-0302(99)75323-3.

DOI:10.3168/jds.S0022-0302(99)75323-3
PMID:10342242
Abstract

Genotypic effects of beta-casein (CN), kappa-CN, and beta-lactoglobulin (LG) on milk, fat, and protein production and fat and protein percentages were estimated for 18,686 Finnish Ayrshire cows in first lactation using an animal model. Casein genotype effects were estimated including individual beta-CN and kappa-CN simultaneously in a model and then as composite beta-kappa-CN. The A2 allele of beta-CN and the A allele of kappa-CN, as well as the A1 allele of beta-CN and the B or E allele of kappa-CN, appeared together more frequently than was expected. Because of linkage disequilibrium in the casein loci and, consequently, unbalanced data, some contradictory effects of casein genotypes were obtained with the two models. A well-founded way to estimate the effects of casein genotypes was to use beta-kappa-CN genotypes. Composite casein genotypes including the A2 allele of beta-CN were associated with the highest milk and protein production and the lowest fat content, those including the B allele of kappa-CN with the highest protein content, and those including the E allele of kappa-CN with the lowest protein content. The effect of the beta-kappa-CN genotypes on protein content was moderately strong, and the effect was somewhat smaller for other traits. The AA genotype of beta-LG had a favorable effect on milk and protein production, and the BB genotype had a favorable effect on fat content.

摘要

使用动物模型,对18686头处于第一个泌乳期的芬兰艾尔夏奶牛的β-酪蛋白(CN)、κ-酪蛋白和β-乳球蛋白(LG)的基因型对产奶量、产脂量、产蛋白量以及乳脂肪率和乳蛋白率的影响进行了估计。酪蛋白基因型效应的估计,首先在一个模型中同时包含个体β-酪蛋白和κ-酪蛋白,然后将其作为复合β-κ-酪蛋白进行估计。β-酪蛋白的A2等位基因和κ-酪蛋白的A等位基因,以及β-酪蛋白的A1等位基因和κ-酪蛋白的B或E等位基因,共同出现的频率高于预期。由于酪蛋白基因座中的连锁不平衡,以及因此产生的数据不平衡,使用这两种模型得到了一些相互矛盾的酪蛋白基因型效应。估计酪蛋白基因型效应的一个合理方法是使用β-κ-酪蛋白基因型。包含β-酪蛋白A2等位基因的复合酪蛋白基因型与最高的产奶量和产蛋白量以及最低的脂肪含量相关,包含κ-酪蛋白B等位基因的复合酪蛋白基因型与最高的蛋白含量相关,而包含κ-酪蛋白E等位基因的复合酪蛋白基因型与最低的蛋白含量相关。β-κ-酪蛋白基因型对蛋白含量的影响中等强度,对其他性状的影响略小。β-乳球蛋白的AA基因型对产奶量和产蛋白量有有利影响,BB基因型对脂肪含量有有利影响。

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