Literature DB >> 15551040

Use of trial clustering to study QTL x environment effects for grain yield and related traits in maize.

Laurence Moreau1, Alain Charcosset, André Gallais.   

Abstract

A population of 300 F(3:4) lines derived from the cross between maize inbred lines F2 and F252 was evaluated for testcross value in a large range of environmental conditions (11 different locations in 2 years: 1995 and 1996) in order to study (1) the magnitude of genotype x environment and (2) the stability of quantitative trait loci (QTL) effects. Several agronomic traits were measured: dry grain yield (DGY), kernel weight, average number of kernels per plant, silking date (SD) and grain moisture at harvest. A large genotype x environment interaction was found, particularly for DGY. A hierarchical classification of trials and an additive main effects and multiplicative interaction (AMMI) model were carried out. Both methods led to the conclusion that trials could be partitioned into three groups consistent with (1) the year of experiment and (2) the water availability (irrigated vs non-irrigated) for the trials sown in 1995. QTL detection was carried out for all the traits in the different groups of trials. Between 9 and 15 QTL were detected for each trait. QTL x group and QTL x trial effects were tested and proved significant for a large proportion of QTL. QTL detection was also performed on coordinates on the first two principal components (PC) of the AMMI model. PC QTL were generally detected in areas where QTL x group and QTL x trial interactions were significant. A region located on chromosome 8 near an SD QTL seemed to play a key role in DGY stability. Our results confirm the key role of water availability and flowering earliness on grain yield stability in maize.

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Year:  2004        PMID: 15551040     DOI: 10.1007/s00122-004-1781-y

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  21 in total

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Authors:  A B Korol; Y I Ronin; A M Itskovich; J Peng; E Nevo
Journal:  Genetics       Date:  2001-04       Impact factor: 4.562

2.  Quantitative trait loci: a meta-analysis.

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Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

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Authors:  C W Stuber; S E Lincoln; D W Wolff; T Helentjaris; E S Lander
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4.  Interpreting genotype × environment interaction in tropical maize using linked molecular markers and environmental covariables.

Authors:  J Crossa; M Vargas; F A van Eeuwijk; C Jiang; G O Edmeades; D Hoisington
Journal:  Theor Appl Genet       Date:  1999-08       Impact factor: 5.699

5.  Estimation of the contribution of quantitative trait loci (QTL) to the variance of a quantitative trait by means of genetic markers.

Authors:  A Charcosset; A Gallais
Journal:  Theor Appl Genet       Date:  1996-12       Impact factor: 5.699

6.  Identification of quantitative trait loci under drought conditions in tropical maize. 1. Flowering parameters and the anthesis-silking interval.

Authors:  J M Ribaut; D A Hoisington; J A Deutsch; C Jiang; D Gonzalez-de-Leon
Journal:  Theor Appl Genet       Date:  1996-05       Impact factor: 5.699

7.  Multiple trait analysis of genetic mapping for quantitative trait loci.

Authors:  C Jiang; Z B Zeng
Journal:  Genetics       Date:  1995-07       Impact factor: 4.562

8.  Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects.

Authors:  A E Melchinger; H F Utz; C C Schön
Journal:  Genetics       Date:  1998-05       Impact factor: 4.562

9.  Use of the additive main effects and multiplicative interaction model in QTL mapping for adaptation in barley.

Authors:  I Romagosa; S E Ullrich; F Han; P M Hayes
Journal:  Theor Appl Genet       Date:  1996-07       Impact factor: 5.699

10.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
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  21 in total

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Journal:  Genetics       Date:  2010-06-30       Impact factor: 4.562

2.  Genome-Wide Analysis of Yield in Europe: Allelic Effects Vary with Drought and Heat Scenarios.

Authors:  Emilie J Millet; Claude Welcker; Willem Kruijer; Sandra Negro; Aude Coupel-Ledru; Stéphane D Nicolas; Jacques Laborde; Cyril Bauland; Sebastien Praud; Nicolas Ranc; Thomas Presterl; Roberto Tuberosa; Zoltan Bedo; Xavier Draye; Björn Usadel; Alain Charcosset; Fred Van Eeuwijk; François Tardieu
Journal:  Plant Physiol       Date:  2016-07-19       Impact factor: 8.340

3.  Mapping of a spontaneous mutation for early flowering time in maize highlights contrasting allelic series at two-linked QTL on chromosome 8.

Authors:  Fabien Chardon; Delphine Hourcade; Valérie Combes; Alain Charcosset
Journal:  Theor Appl Genet       Date:  2005-10-22       Impact factor: 5.699

4.  Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.

Authors:  G Blanc; A Charcosset; B Mangin; A Gallais; L Moreau
Journal:  Theor Appl Genet       Date:  2006-05-20       Impact factor: 5.699

5.  Detection of marker-QTL associations by studying change in marker frequencies with selection.

Authors:  A Gallais; L Moreau; A Charcosset
Journal:  Theor Appl Genet       Date:  2006-12-13       Impact factor: 5.699

6.  Association mapping in multiple segregating populations of sugar beet (Beta vulgaris L.).

Authors:  Benjamin Stich; Albrecht E Melchinger; Martin Heckenberger; Jens Möhring; Axel Schechert; Hans-Peter Piepho
Journal:  Theor Appl Genet       Date:  2008-08-22       Impact factor: 5.699

7.  Challenges for effective marker-assisted selection in plants.

Authors:  Frédéric Hospital
Journal:  Genetica       Date:  2008-08-10       Impact factor: 1.082

8.  Needles: Toward Large-Scale Genomic Prediction with Marker-by-Environment Interaction.

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Journal:  Genetics       Date:  2016-03-02       Impact factor: 4.562

9.  Visualizing the genetic landscape of Arabidopsis seed performance.

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Journal:  Plant Physiol       Date:  2011-12-12       Impact factor: 8.340

10.  QTLs and candidate genes for desiccation and abscisic acid content in maize kernels.

Authors:  Valérie Capelle; Carine Remoué; Laurence Moreau; Agnès Reyss; Aline Mahé; Agnès Massonneau; Matthieu Falque; Alain Charcosset; Claudine Thévenot; Peter Rogowsky; Sylvie Coursol; Jean-Louis Prioul
Journal:  BMC Plant Biol       Date:  2010-01-04       Impact factor: 4.215

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