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Single-step genomic evaluation improves accuracy of breeding value predictions for resistance to infectious pancreatic necrosis virus in rainbow trout

机译:单步基因组评估提高了彩虹鳟鱼抗性胰腺坏死病毒的育种价值预测的准确性

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摘要

The aim of this study was to compare the accuracy of breeding values (EBVs) predicted using the traditional pedigree based Best Linear Unbiased Prediction (PBLUP) and the single-step genomic Best Linear Unbiased Prediction (ssGBLUP) for resistance against infectious pancreatic necrosis virus (IPNV) in rainbow trout. A total of 2278 animals were challenged against IPNV and 768 individuals were genotyped using a 57 K single nucleotide polymorphism array for rainbow trout. Accuracies for both methods were assessed using five-fold cross-validation. The heritabilities were higher for PBLUP compared to ssGBLUP. The ssGBLUP accuracies outperformed PBLUP in 7 and 11% for days to death and binary survival, respectively. The ssGBLUP could be an alternative approach to improve the accuracy of breeding values for resistance against infectious pancreatic necrosis virus in rainbow trout, using information from genotyped and non-genotyped animals.
机译:本研究的目的是比较使用传统的谱系的最佳线性无偏见预测(PBLUP)和单步基因组最佳线性无偏见预测(SSGBLUP)对传染性胰腺坏死病毒进行抗性的预测的育种值(EBV)的准确性( IPNV)在彩虹鳟鱼中。 对于IPNV,共有2278只动物挑战,使用用于虹鳟鱼的57k单核苷酸多态性阵列进行768个个体进行基因分型。 使用五倍交叉验证评估两种方法的精度。 与SSGBLUP相比,PBLUP的遗传率较高。 SSGBLUP分别在7和11%的数天分别表现优于死亡和二进制生存。 SSGBLUP可以是改善虹鳟鱼中抗病胰腺坏死病毒抗性的抗性育种值的准确性的替代方法,使用来自基因分型和非基型动物的信息。

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