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Applications of Population Genetics to Animal Breeding from Wright Fisher and Lush to Genomic Prediction

机译:种群遗传学在赖特费舍尔和拉什的动物育种中的应用到基因组预测

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摘要

Although animal breeding was practiced long before the science of genetics and the relevant disciplines of population and quantitative genetics were known, breeding programs have mainly relied on simply selecting and mating the best individuals on their own or relatives’ performance. This is based on sound quantitative genetic principles, developed and expounded by Lush, who attributed much of his understanding to Wright, and formalized in Fisher’s infinitesimal model. Analysis at the level of individual loci and gene frequency distributions has had relatively little impact. Now with access to genomic data, a revolution in which molecular information is being used to enhance response with “genomic selection” is occurring. The predictions of breeding value still utilize multiple loci throughout the genome and, indeed, are largely compatible with additive and specifically infinitesimal model assumptions. I discuss some of the history and genetic issues as applied to the science of livestock improvement, which has had and continues to have major spin-offs into ideas and applications in other areas.
机译:尽管动物育种早在遗传学以及相关的种群和定量遗传学学科问世之前就已进行,但育种计划主要依靠简单地挑选和交配其自身或亲戚表现最佳的个体。这是建立在合理的定量遗传学原理基础上的,由卢什(Lush)发展和阐述,卢什(Lush)将他的大部分理解归功于赖特(Wright),并在费希尔的无穷小模型中加以形式化。在单个基因座和基因频率分布水平上的分析影响相对较小。现在,通过访问基因组数据,正在发生一场革命,其中使用分子信息来增强“基因组选择”的响应。育种价值的预测仍然在整个基因组中利用多个基因座,并且确实与加性模型,特别是无穷小模型假设完全兼容。我将讨论应用于畜牧业改良科学的一些历史和遗传问题,该问题已经并将继续在其他领域产生重大影响。

著录项

  • 期刊名称 Genetics
  • 作者

    William G. Hill;

  • 作者单位
  • 年(卷),期 2014(196),1
  • 年度 2014
  • 页码 1–16
  • 总页数 16
  • 原文格式 PDF
  • 正文语种
  • 中图分类 遗传学;
  • 关键词

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