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Domestic estimated breeding values and genomic enhanced breeding values of bulls in comparison with their foreign genomic enhanced breeding values

机译:国内公牛的估计育种值和基因组增强育种值与国外公牛的基因组增强育种值比较

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Estimated breeding values (EBVs) and genomic enhanced breeding values (GEBVs) for milk production of young genotyped Holstein bulls were predicted using a conventional BLUP - Animal Model, a method fitting regression coefficients for loci (RRBLUP), a method utilizing the realized genomic relationship matrix (GBLUP), by a single-step procedure (ssGBLUP) and by a one-step blending procedure. Information sources for prediction were the nation-wide database of domestic Czech production records in the first lactation combined with deregressed proofs (DRP) from Interbull files (August 2013) and domestic test-day (TD) records for the first three lactations. Data from 2627 genotyped bulls were used, of which 2189 were already proven under domestic conditions. Analyses were run that used Interbull values for genotyped bulls only or that used Interbull values for all available sires. Resultant predictions were compared with GEBV of 96 young foreign bulls evaluated abroad and whose proofs were from Interbull method GMACE (August 2013) on the Czech scale. Correlations of predictions with GMACE values of foreign bulls ranged from 0.33 to 0.75. Combining domestic data with Interbull EBVs improved prediction of both EBV and GEBV. Predictions by Animal Model (traditional EBV) using only domestic first lactation records and GMACE values were correlated by only 0.33. Combining the nation-wide domestic database with all available DRP for genotyped and un-genotyped sires from Interbull resulted in an EBV correlation of 0.60, compared with 0.47 when only Interbull data were used. In all cases, GEBVs had higher correlations than traditional EBVs, and the highest correlations were for predictions from the ssGBLUP procedure using combined data (0.75), or with all available DRP from Interbull records only (one-step blending approach, 0.69). The ssGBLUP predictions using the first three domestic lactation records in the TD model were correlated with GMACE predictions by 0.69, 0.64 and 0.61 for milk yield, protein yield and fat yield, respectively.
机译:使用常规的BLUP-动物模型预测了年轻基因型荷斯坦公牛奶产量的估计育种值(EBVs)和基因组增强育种值(GEBVs),这是一种适合基因座回归系数的方法(RRBLUP),该方法利用已实现的基因组关系矩阵(GBLUP),单步过程(ssGBLUP)和一步混合过程。预测的信息来源是全国范围内的第一次泌乳的捷克国内生产记录的数据库,结合了Interbull档案中的降级证据(DRP)(2013年8月)和前三个泌乳的国内测试日(TD)记录。使用来自2627个基因型公牛的数据,其中2189个已在家庭条件下得到证明。进行的分析仅将公牛的值用于基因型公牛,或将公牛的值用于所有可用公牛。将结果预测结果与96个国外评估的年轻公牛的GEBV进行了比较,其证据来自捷克规模的Interbull方法GMACE(2013年8月)。外国公牛的GMACE值与预测的相关性在0.33至0.75之间。将国内数据与公牛之间的EBV相结合,可以改善EBV和GEBV的预测。仅使用国内首次泌乳记录和GMACE值进行的动物模型(传统EBV)预测仅相关了0.33。将全国范围内的国内数据库与所有来自Interbull的基因型和未基因型的公牛的DRP相结合,得出的EBV相关性为0.60,而仅使用Interbull数据时为0.47。在所有情况下,GEBV的相关性都比传统EBV高,相关性最高的是使用组合数据(0.75)或仅来自Interbull记录的所有可用DRP的ssGBLUP程序的预测(一步混合方法,为0.69)。 TD模型中使用前三个国内泌乳记录的ssGBLUP预测与GMACE预测的牛奶产量,蛋白质产量和脂肪产量分别相关,分别为0.69、0.64和0.61。

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