The Usage of Genomic Selection Strategy in Plant Breeding

M. Shamshad, Achla Sharma
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引用次数: 19

Abstract

Major paradigm shift in plant breeding since the availability of molecular marker tech- nology is that mapping and characterizing the genetic loci that control a trait will lead to improved breeding. Often, one of the rationales for cloning of QTL is to develop the “perfect marker” for MAS, perhaps based on a functional polymorphism. In contrast, an advantage of genomic selection is precisely its black box approach to exploiting genotyp- ing technology to expedite genetic progress. This is an advantage in our view because it does not rely on a “breeding by design” engineering approach to cultivar develop- ment requiring knowledge of biological function before the creation of phenotypes. Breeders can therefore use genomic selection without the large upfront cost of obtain- ing that knowledge. In addition, genomic selection can maintain the creative nature of phenotypic selection which couple’s random mutation and recombination to sometimes arrive at solutions outside the engineer’s scope. Currently, the lion’s share of research on genomic selection has been performed in livestock breeding, where effective population size, extent of LD, breeding objectives, experimental design, and other characteristics of populations and breeding programs are quite different from those of crop species. Nevertheless, a great number of findings within this literature are very illuminating for genomic selection in crops and should be studied and built upon by crop geneticists and breeders. The application of powerful, relatively new statistical methods to the problem of high dimensional marker data for genomic selection has been nearly as important to the development of genomic selection as the creation of high-density marker platforms and greater computing power. The methods can be classified by what type of genetic architecture they try to capture.
基因组选择策略在植物育种中的应用
自从分子标记技术出现以来,植物育种的主要模式转变是绘制和描述控制性状的遗传位点将导致育种的改进。通常,克隆QTL的一个基本原理是开发MAS的“完美标记”,可能是基于功能多态性。相比之下,基因组选择的一个优势恰恰是它利用基因分型技术加速遗传进展的黑箱方法。在我们看来,这是一个优势,因为它不依赖于“设计育种”的工程方法来培育品种——在创造表型之前需要了解生物功能。因此,育种者可以使用基因组选择,而无需为获得这些知识而付出大量的前期成本。此外,基因组选择可以保持表型选择的创造性,偶而随机突变和重组有时会得到工程师范围之外的解决方案。目前,大部分的基因组选择研究都是在家畜育种中进行的,在家畜育种中,有效种群规模、LD程度、育种目标、实验设计以及其他种群特征和育种方案与作物物种有很大不同。尽管如此,这些文献中的许多发现对作物的基因组选择非常有启发性,应该被作物遗传学家和育种家研究和建立。在基因组选择的高维标记数据问题上应用强大的、相对较新的统计方法,对基因组选择的发展几乎与创建高密度标记平台和更强大的计算能力一样重要。这些方法可以根据它们试图捕获的遗传结构类型进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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