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Genomic prediction in Japanese Black cattle: Application of a single-step approach to beef cattle

机译:日本黑牛的基因组预测:一步法在肉牛中的应用

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The implementation of genomic selection for Japanese Black cattle, known for rich marbling of their meat, is now being explored. Although multiple-step methods are often adopted for dairy cattle, they present shortcomings such as bias and loss of information in addition to operational complexity. These can be avoided using single-step genomic BLUP (ssGBLUP) based on the relationship matrix H, which is constructed from the numerator relationship matrix (A) augmented by the genomic relationship matrix (G). This study assessed the use of ssGBLUP for 3 economically important traits in Japanese Black cattle. Three aspects of ssGBLUP that are important for practical use were examined specifically: the mixing proportions of blending G with A, selection of subsets of genotyped animals used for constructing H, and prediction ability for ungenotyped animals. Different mixing proportions were tested to assess the influence of these proportions on variance component estimation and prediction accuracy. For all traits, the highest or nearly highest accuracy was obtained when the adopted mixing proportion provided heritability closest to that inferred based on A. However, the accuracy did not increase greatly under adjustment of the mixing proportion, thereby suggesting that the influence of the mixing proportion on the accuracy was limited. Genotype data of influential bulls showed a greater contribution to accuracy than that of bulls that were less influential. Genotyping animals with phenotypic records increased the accuracy. It can be prioritized over genotyping bulls that are not influential on the population. These results are expected to present good guides to the future expansion of genotyped populations. Even for animals without genotype data but with genotyped sires, ssGBLUP provided more accurate prediction than BLUP did. For both phenotype and breeding value prediction, ssGBLUP provides more accurate prediction than BLUP, suggesting its usefulness in genomic selection in Japanese Black cattle.
机译:目前正在探索以其丰富的大理石花纹而闻名的日本黑牛的基因组选择方法。尽管奶牛通常采用多步骤方法,但它们除了操作复杂之外,还存在诸如偏差和信息丢失之类的缺点。使用基于关系矩阵H的单步基因组BLUP(ssGBLUP)可以避免这些问题,该关系矩阵H由分子关系矩阵(A)和基因组关系矩阵(G)扩充而成。这项研究评估了ssGBLUP在日本黑牛中3个重要经济性状的使用。 ssGBLUP的三个对实用性重要的方面进行了具体检查:将G与A混合的混合比例,用于构建H的基因型动物的子集的选择以及对非基因型动物的预测能力。测试了不同的混合比例,以评估这些比例对方差分量估计和预测准确性的影响。对于所有性状,当采用的混合比例提供的遗传力最接近基于A推断的遗传力时,可获得最高或接近最高的准确度。但是,在调整混合比例的情况下,准确度并没有显着提高,从而表明了混合的影响比例上的准确性是有限的。有影响力的公牛的基因型数据显示,对准确性的贡献大于对影响力较小的公牛的准确性。对具有表型记录的动物进行基因分型可以提高准确性。可以优先考虑对人群没有影响的基因分型公牛。预期这些结果将为基因型人群的未来扩展提供良好的指导。即使对于没有基因型数据但具有基因型父亲的动物,ssGBLUP也提供了比BLUP更准确的预测。对于表型和育种值预测,ssGBLUP比BLUP提供更准确的预测,表明其在日本黑牛的基因组选择中很有用。

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