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Possibilities to improve the genetic evaluation of a rare breed using limitedgenomic information and multivariate BLUP

机译:使用有限的方法来改善稀有品种的遗传评估的可能性基因组信息和多元BLUP

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摘要

The use of molecular genetic information in the evaluation of livestock has become more common. This study looks at the efficacy of using such information to improve the genetic evaluation of a rare breed of dual-purpose cattle. Data were available in the form of pedigree information on the Gloucester cattle breed in the United Kingdom and recorded milk and beef performance on a small number of animals. In addition, molecular genetic information in the form of multi-marker, multiple regression results converted to a 1 to 10 score (Igenity scores) and 123 single nucleotide polymorphism (SNP) genotypes for 199 non-recorded animals were available. Appropriate mixed-animal models were explored for the recorded traits and these were used to calculate estimated breeding values (EBV), and their accuracies, for 6527 animals in the breed’s pedigree file. Various ways to improve the accuracy of these EBV were explored. This involved using multivariate BLUP analyses, genomic estimated breeding values (GEBV) and combining Igenity scores with recorded traits in a series of bivariate genetic analyses. Using the milk recording traits as an example, the accuracy of a number of traits could be improved using multivariate analyses by up to 14%, depending on the combination of traits used. The level of increase in accuracy largely corresponded to the absolute difference between the genetic and residual correlations between two traits, but this was not always symmetrical. The use of GEBV didnot increase the accuracy of milk trait EBV owing to the low proportion of varianceexplained by the 101 SNPs used. Using Igenity scores in bivariate analyses with therecorded data was more successful in increasing EBV accuracy. The largest increases werefound in genotyped animals with no recorded performance (e.g. a 58% increase in fat weightin milk); however, the size of the increase depended on the level of the geneticcorrelation between the recorded trait and the Igenity score for that trait. Lower levelsof improvements in accuracy were seen in animals that were recoded but not genotyped, andancestors which were neither genotyped nor recorded. This study demonstrated that it waspossible to improve the accuracy of EBV estimation by including Igenity score informationin genetic analyses but it also concluded that increasing the level of performancerecording in the breed would be beneficial.
机译:在家畜评估中使用分子遗传信息变得更加普遍。这项研究着眼于使用此类信息改善罕见的两用牛品种的遗传评估的功效。可以以英国格洛斯特牛品种的系谱信息的形式获得数据,并记录了少数动物的牛奶和牛肉的生产性能。此外,还提供了多标记形式的分子遗传信息,多个回归结果转换为199个未记录动物的1到10得分(Igenity得分)和123个单核苷酸多态性(SNP)基因型。对合适的混合动物模型进行了探索,以记录所记录的特征,并用于计算该系谱文件中6527只动物的估计繁殖价值(EBV)及其准确性。探索了提高这些EBV准确性的各种方法。这涉及在一系列双变量遗传分析中使用多元BLUP分析,基因组估计育种值(GEBV)以及将Igenity得分与记录的性状相结合。以牛奶记录性状为例,使用多变量分析可以将多种性状的准确性提高多达14%,具体取决于所使用性状的组合。准确性提高的水平在很大程度上对应于两个性状之间遗传和残余相关性之间的绝对差异,但这并不总是对称的。使用GEBV确实由于方差比例低,无法提高牛奶性状EBV的准确性使用的101个SNP进行了解释。在双变量分析中使用Igenity得分,记录的数据在提高EBV准确性方面更为成功。增长最大的是在没有记录的表现的基因型动物中发现(例如,脂肪重量增加58%在牛奶中);但是,增加的幅度取决于遗传水平记录的特征与该特征的Igenity得分之间的相关性。较低的水平在经过重新编码但未进行基因分型的动物中,可以看到准确性的提高,并且既没有基因型也没有记录的祖先。这项研究表明通过包含Igenity得分信息可以提高EBV估计的准确性在基因分析中,但它也得出结论,提高绩效水平在品种中进行记录将是有益的。

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