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General and specific combining abilities in a maize (<Emphasis Type="Italic">Zea mays</Emphasis> L.) test-cross hybrid panel: relative importance of population structure and genetic divergence between parents
Authors:A Larièpe  L Moreau  J Laborde  C Bauland  S Mezmouk  L Décousset  T Mary-Huard  J B Fiévet  A Gallais  P Dubreuil  A Charcosset
Institution:1.UMR de Génétique Végétale,INRA-Univ-Paris-Sud–CNRS–AgroParisTech,Gif-Sur-Yvette,France;2.INRA,St Martin De Hinx,France;3.BIOGEMMA, Genetics and Genomics in Cereals,Chappes,France
Abstract:

Key message

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.

Abstract

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.
Keywords:
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