The objective of this study was to assess the effect of genotyped bulls with different numbers of phenotyped progenies on quantitative trait loci (QTL) detection and genomic evaluation using a simulated cattle population. Twelve generations (G1–G12) were simulated from the base generation (G0). The recent population had different effective population sizes, heritability, and number of QTL. G0–G4 were used for pedigree information. A total of 300 genotyped bulls from G5–G10 were randomly selected. Their progenies were generated in G6–G11 with different numbers of progeny per bull. Scenarios were considered according to the number of progenies and whether the genotypes were possessed by the bulls or the progenies. A genome‐wide association study and genomic evaluation were performed with a single‐step genomic best linear unbiased prediction method to calculate the power of QTL detection and the genomic estimated breeding value (GEBV). We found that genotyped bulls could be available for QTL detection depending on conditions. Additionally, using a reference population, including genotyped bulls, which had more progeny phenotypes, enabled a more accurate prediction of GEBV. However, it is desirable to have more than 4,500 individuals consisting of both genotypes and phenotypes for practical genomic evaluation.

中文翻译：

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具有不同表型后代数量的基因分型公牛对模拟牛群数量性状位点检测和基因组评估的影响。

本研究的目的是评估具有不同表型后代数量的基因分型公牛对使用模拟牛群的数量性状位点 (QTL) 检测和基因组评估的影响。从基代 (G0) 模拟了十二代 (G1–G12)。近期种群具有不同的有效种群大小、遗传力和QTL数量。G0–G4 用于谱系信息。从 G5-G10 中随机选择了总共 300 头基因分型的公牛。它们的后代在 G6-G11 中产生，每头公牛的后代数量不同。根据后代的数量以及基因型是否由公牛或后代拥有来考虑情景。使用单步基因组最佳线性无偏预测方法进行全基因组关联研究和基因组评估，以计算 QTL 检测能力和基因组估计育种值 (GEBV)。我们发现，根据条件，基因分型公牛可用于 QTL 检测。此外，使用参考群体，包括具有更多后代表型的基因分型公牛，可以更准确地预测 GEBV。然而，希望有超过 4,500 个由基因型和表型组成的个体用于实际的基因组评估。具有更多后代表型，能够更准确地预测 GEBV。然而，希望有超过 4,500 个由基因型和表型组成的个体用于实际的基因组评估。具有更多后代表型，能够更准确地预测 GEBV。然而，希望有超过 4,500 个由基因型和表型组成的个体用于实际的基因组评估。