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Comparison of methods for estimation of genetic covariance matrix from SNP or pedigree data utilised to predict breeding value

机译:从用于预测育种价值的SNP或系谱数据估算遗传协方差矩阵的方法比较

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Background The aim was to predict breeding values of non-phenotyped individuals based on a dataset prepared for the 13th QTL-MAS Workshop in Wageningen. Methods Genetic co-variance matrices between animals were estimated with three methods: one using pedigree information only and two based on SNP markers from the first chromosome. Quadratic regression of breeding values, estimated separately in each of the five time points, was used to predict the breeding values in the 6th time point. Results Based on the comparison (true - estimated BV) it can be concluded that SNP based methods provided better estimates (accuracy between 0.75 and 0.80) than pedigree (0.65). Conclusions Even though only SNPs from chromosome 1 were used it was still possible to achieve fairly high accuracies. Most likely this was due to the fact that chromosome 1 contained the QTLs with the largest effects.
机译:背景技术目的是根据为瓦赫宁根市第十三届QTL-MAS研讨会准备的数据集来预测非表型个体的育种价值。方法采用三种方法估算动物之间的遗传协方差矩阵:一种仅使用系谱信息,另一种基于来自第一条染色体的SNP标记。在五个时间点中的每个时间点分别对繁殖值进行二次回归,以预测在第六个时间点的繁殖值。结果基于比较(真实估算的BV),可以得出结论,基于SNP的方法提供的估算值(准确度在0.75和0.80之间)比血统书(0.65)更好。结论即使只使用了1号染色体上的SNP,仍然有可能获得相当高的准确度。这很可能是由于1号染色体上含有影响最大的QTL。

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