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Genomic evaluation by including dominance effects and inbreeding depression for purebred and crossbred performance with an application in pigs

机译:通过包括对纯种和杂种性能的优势效应和近亲繁殖抑制的基因组评估并应用于猪

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摘要

BackgroundImproved performance of crossbred animals is partly due to heterosis. One of the major genetic bases of heterosis is dominance, but it is seldom used in pedigree-based genetic evaluation of livestock. Recently, a trivariate genomic best linear unbiased prediction (GBLUP) model including dominance was developed, which can distinguish purebreds from crossbred animals explicitly. The objectives of this study were: (1) methodological, to show that inclusion of marker-based inbreeding accounts for directional dominance and inbreeding depression in purebred and crossbred animals, to revisit variance components of additive and dominance genetic effects using this model, and to develop marker-based estimators of genetic correlations between purebred and crossbred animals and of correlations of allele substitution effects between breeds; (2) to evaluate the impact of accounting for dominance effects and inbreeding depression on predictive ability for total number of piglets born (TNB) in a pig dataset composed of two purebred populations and their crossbreds. We also developed an equivalent model that makes the estimation of variance components tractable.
机译:背景杂种动物的性能提高部分归因于杂种优势。优势优势的主要遗传基础之一是优势地位,但很少在基于谱系的牲畜遗传评估中使用。最近,建立了包括优势度在内的三元基因组最佳线性无偏预测(GBLUP)模型,该模型可以明确区分纯种和杂种动物。这项研究的目的是:(1)方法论,以证明基于标记的近交包括纯种和杂种动物的定向优势和近交抑制,使用该模型重新研究加性和优势遗传效应的方差成分,以及开发基于标记的纯种和杂种动物之间的遗传相关性以及品种之间等位基因替代效应的相关性估计器; (2)在由两个纯种种群及其杂交组成的猪数据集中,评估占优势作用和近交抑制对出生仔猪总数(TNB)预测能力的影响。我们还开发了等效模型,该模型使方差分量的估算变得易于处理。

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