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危险的双重用途德国黑脚牛 (DSN) 的单步育种价值估计和最佳贡献选择,使用特定品种的SNP芯片

M Wolf¹, T Yin¹, G B Neumann^2,3

¹Institute of Animal Breeding and Genetics, Justus-Liebig-University Gießen, Gießen, Germany.

Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie

|February 2, 2025

概括

这项研究比较了两种SNP芯片对德国黑脚牛的基因组预测,发现估计的育种价值差异很小. 持续的最佳遗传贡献选择与放松的约束改善了遗传价值和多样性.

科学领域:

动物遗传学动物遗传学
量化遗传学量化遗传学
基因组选择基因组选择

背景情况:

德国黑脚牛 (DSN) 需要有效的繁殖策略来实现双重用途的特征.
基因组选择为改善牲畜种群提供了先进的工具.
与商业芯片一起评估特定品种的SNP芯片对于优化选择至关重要.

研究的目的:

在DSN牛中进行单步基因组预测,使用DSN特定的SNP芯片 (DSN_200K) 和商用芯片 (50K).
在持续的最佳遗传贡献 (OGC) 选择中,从这些预测中应用估计的育种值 (EBV).
为了比较DSN_200K芯片与50K芯片的有效性,用于基因改进.

主要方法:

对蛋白质百分比 (Pro%),脂肪与蛋白质的比率 (FPR) 和身高 (STAT) 进行了单步基因组预测.
用DSN_200K和50K SNP芯片对2797只DSN动物进行基因定型.
采用OGC选择对1125头公牛和母公牛的池进行了选择,具有不同的遗传关系约束.

主要成果:

遗传性对于百分比 (0.69) 和STAT (0.78) 很高,但对于FPR (0.11) 很低.
选择SNP芯片对差异组件,遗传性和EBV产生了很小的影响.
在OGC选择中放松遗传关系约束改善了平均EBV和增加了遗传多样性,在0.06约束下获得最佳收益.

结论:

与50K芯片相比,DSN_200K SNP芯片为DSN牛基因组预测提供了极小的附加值.
建议使用0.06遗传关系约束的OGC选择来平衡DSN牛的遗传收益和多样性.
这项研究表明,基因组工具对于增强双重用途牛品种的育种方案的实用性.

关键词:

当地的牛群是当地牛群.最佳的遗传贡献的最佳遗传贡献.一个步骤的基因评估.

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