UMR de Génétique Végétale, INRA-Univ-Paris-Sud-CNRS-AgroParisTech, Ferme du Moulon, 91190, Gif-Sur-Yvette, France.
BIOGEMMA, Genetics and Genomics in Cereals, 63720, Chappes, France.
Theor Appl Genet. 2017 Feb;130(2):403-417. doi: 10.1007/s00122-016-2822-z. Epub 2016 Dec 2.
General and specific combining abilities of maize hybrids between 288 inbred lines and three tester lines were highly related to population structure and genetic distance inferred from SNP data. Many studies have attempted to provide reliable and quick methods to identify promising parental lines and combinations in hybrid breeding programs. Since the 1950s, maize germplasm has been organized into heterotic groups to facilitate the exploitation of heterosis. Molecular markers have proven efficient tools to address the organization of genetic diversity and the relationship between lines or populations. The aim of the present work was to investigate to what extent marker-based evaluations of population structure and genetic distance may account for general (GCA) and specific (SCA) combining ability components in a population composed of 800 inter and intra-heterotic group hybrids obtained by crossing 288 inbred lines and three testers. Our results illustrate a strong effect of groups identified by population structure analysis on both GCA and SCA components. Including genetic distance between parental lines of hybrids in the model leads to a significant decrease of SCA variance component and an increase in GCA variance component for all the traits. The latter suggests that this approach can be efficient to better estimate the potential combining ability of inbred lines when crossed with unrelated lines, and limits the consequences of tester choice. Significant residual GCA and SCA variance components of models taking into account structure and/or genetic distance highlight the variation available for breeding programs within structure groups.
玉米自交系 288 个与 3 个测验种杂交组合的一般配合力和特殊配合力与 SNP 数据推断的群体结构和遗传距离高度相关。许多研究试图提供可靠和快速的方法来识别杂种优势杂交种选育计划中有希望的亲本系和组合。自 20 世纪 50 年代以来,玉米种质已被组织成杂种优势群,以促进杂种优势的利用。分子标记已被证明是解决遗传多样性组织和系或群体之间关系的有效工具。本研究旨在探讨基于标记的群体结构和遗传距离评估在多大程度上可以解释由 288 个自交系和 3 个测验种杂交获得的 800 个杂种的群体中一般配合力(GCA)和特殊配合力(SCA)组成部分。我们的结果表明,群体结构分析确定的群体对 GCA 和 SCA 成分都有很强的影响。在模型中包含杂种亲本系之间的遗传距离会导致 SCA 方差分量显著降低,所有性状的 GCA 方差分量增加。后者表明,当与无关系杂交时,这种方法可以有效地更好地估计自交系的潜在配合力,并限制测验种选择的后果。考虑结构和/或遗传距离的模型中剩余的 GCA 和 SCA 方差分量突出了结构群体内育种计划的可用变异。