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Accounting for dominance to improve genomic evaluations of dairy cows for fertility and milk production traits

机译:考虑优势以改善奶牛的生育力和产奶性状的基因组评估

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摘要

BackgroundDominance effects may contribute to genetic variation of complex traits in dairy cattle, especially for traits closely related to fitness such as fertility. However, traditional genetic evaluations generally ignore dominance effects and consider additive genetic effects only. Availability of dense single nucleotide polymorphisms (SNPs) panels provides the opportunity to investigate the role of dominance in quantitative variation of complex traits at both the SNP and animal levels. Including dominance effects in the genomic evaluation of animals could also help to increase the accuracy of prediction of future phenotypes. In this study, we estimated additive and dominance variance components for fertility and milk production traits of genotyped Holstein and Jersey cows in Australia. The predictive abilities of a model that accounts for additive effects only (additive), and a model that accounts for both additive and dominance effects (additive + dominance) were compared in a fivefold cross-validation.
机译:背景优势效应可能会导致奶牛复杂性状的遗传变异,特别是对于与适应性密切相关的性状(如生育力)而言。但是,传统的遗传评估通常会忽略优势效应,而仅考虑加性遗传效应。密集的单核苷酸多态性(SNP)面板的可用性提供了一个机会,可以研究在SNP和动物水平上复杂性状的定量变化中优势的作用。在动物的基因组评估中包括优势效应也可以帮助提高未来表型预测的准确性。在这项研究中,我们估算了澳大利亚基因型荷斯坦奶牛和泽西奶牛的生育力和产奶性状的加性和优势方差成分。在五重交叉验证中比较了仅考虑加性效应(加性)的模型和同时考虑加性和优势效应(加性+优势)的模型的预测能力。

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