Quantifying wheat sensitivities to environmental constraints to dissect G x E in the field

Yield is subject to strong Genotype by Environment interactions (G x E) in the field, especially under abiotic constraints such as soil water deficit (Drought, D) and high temperature (Heat, H). Since environmental conditions show strong fluctuations during the whole crop cycle, geneticists usually...

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Published inPlant physiology (Bethesda) Vol. 174; no. 3; pp. 1669 - 1682
Main Authors Parent, Boris, Bonneau, Julien, Maphosa, Lance, Kovalchuk, Alex, Langridge, Peter, Fleury, Delphine
Format Journal Article
LanguageEnglish
Published Oxford University Press ; American Society of Plant Biologists 2017
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ISSN0032-0889
1532-2548
DOI10.1104/pp.17.00372

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Summary:Yield is subject to strong Genotype by Environment interactions (G x E) in the field, especially under abiotic constraints such as soil water deficit (Drought, D) and high temperature (Heat, H). Since environmental conditions show strong fluctuations during the whole crop cycle, geneticists usually do not consider the environmental measures as quantitative variables, but rather as factors in multi-environment analyses. Based on 11 experiments in a field platform with contrasted temperature and soil water deficit, we determined the periods of sensitivity to drought and heat constraints in wheat (Triticum aestivum L.) and determined the average sensitivities for major yield components. G x E interactions were separated into their underlying components, constitutive (G), G x D, G x H and G x H x D, and were analysed for two genotypes, highlighting contrasted responses to heat and drought constraints. We then tested the constitutive and responsive behaviours of two strong Quantitative Trait Loci (QTL) previously associated with yield components. This analysis confirmed the constitutive effect of chromosome 1B QTL, and explained the G x E interaction of chromosome 3B QTL by a benefit of one allele when temperature rises. In addition to the method itself which can be applied to other datasets and populations, this study will support the cloning of a major yield QTL on chromosome 3B which is highly dependent on environmental conditions, and for which the climatic interaction is now quantified.
Bibliography:PMCID: PMC5490905
ISSN:0032-0889
1532-2548
DOI:10.1104/pp.17.00372