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A common reference population from four European Holstein populations increases reliability of genomic predictions

机译:来自四个欧洲荷斯坦牛种群的共同参考种群增加了基因组预测的可靠性

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Background Size of the reference population and reliability of phenotypes are crucial factors influencing the reliability of genomic predictions. It is therefore useful to combine closely related populations. Increased accuracies of genomic predictions depend on the number of individuals added to the reference population, the reliability of their phenotypes, and the relatedness of the populations that are combined. Methods This paper assesses the increase in reliability achieved when combining four Holstein reference populations of 4000 bulls each, from European breeding organizations, i.e. UNCEIA (France), VikingGenetics (Denmark, Sweden, Finland), DHV-VIT (Germany) and CRV (The Netherlands, Flanders). Each partner validated its own bulls using their national reference data and the combined data, respectively. Results Combining the data significantly increased the reliability of genomic predictions for bulls in all four populations. Reliabilities increased by 10%, compared to reliabilities obtained with national reference populations alone, when they were averaged over countries and the traits evaluated. For different traits and countries, the increase in reliability ranged from 2% to 19%. Conclusions Genomic selection programs benefit greatly from combining data from several closely related populations into a single large reference population.
机译:参考人群的背景大小和表型的可靠性是影响基因组预测可靠性的关键因素。因此,将密切相关的人群结合在一起很有用。基因组预测的准确性提高取决于添加到参考群体中的个体数量,其表型的可靠性以及所结合群体的相关性。方法本文评估了欧洲育种组织(法国UNCEIA,法国VikingGenetics(丹麦,瑞典,芬兰),DHV-VIT(德国)和CRV(欧洲))的四个荷斯坦参考种群(每只4000头公牛)的组合所实现的可靠性提高。荷兰,法兰德斯)。每个合作伙伴分别使用其国家参考数据和组合数据来验证自己的多头。结果结合这些数据,可以显着提高所有四个种群中公牛基因组预测的可靠性。与仅对国家参考人群获得的可靠性(在各个国家/地区进行平均)和评估的特征相比,其可靠性提高了10%。对于不同的特征和国家,可靠性的提高幅度为2%至19%。结论基因组选择程序将从将几个紧密相关的人群的数据合并到一个大的参考人群中而受益匪浅。

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