16 research outputs found

    Genetic and ecophysiological analyses of tolerance to drought and high temperature in bread wheat (Triticum aestivum L.)

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    Dans un contexte de changement climatique, la caractĂ©risation des variĂ©tĂ©s de blĂ© tendre en rĂ©ponse Ă  des Ă©vĂšnements de sĂ©cheresse et de stress thermique est un des dĂ©fis de l’agriculture. Cette thĂšse, issue d’un partenariat -public entre Arvalis-Institut du VĂ©gĂ©tal, Biogemma et l’INRA (Institut National de la Recherche Agronomique), avait pour but de dĂ©velopper des connaissances et des outils nĂ©cessaires Ă  l’identification de variĂ©tĂ©s tolĂ©rantes Ă  la sĂ©cheresse et au stress thermique et Ă  la crĂ©ation de variĂ©tĂ©s rĂ©pondant Ă  cette exigence. Pour ce faire, nous avons analysĂ© un panel de 220 variĂ©tĂ©s commerciales, gĂ©notypĂ©es avec 280K SNP et testĂ©es dans 35 environnements variĂ©s (combinaison d’annĂ©e, lieu et rĂ©gime hydrique), plus une expĂ©rimentation en conditions contrĂŽlĂ©es oĂč un stress thermique a Ă©tĂ© appliquĂ© pendant le remplissage du grain. La complexitĂ© de l’étude de la tolĂ©rance Ă  la sĂ©cheresse nous a conduit Ă  prĂ©senter cette thĂšse en sĂ©parant, dans un premier temps, l’étude des stress hydriques et thermiques, puis de prospecter une mĂ©thode d’analyse multi-stress. Nous avons montrĂ© que mĂȘme si la sĂ©lection a amĂ©liorĂ© la performance des variĂ©tĂ©s en condition hydrique optimale, le progrĂšs gĂ©nĂ©tique doit ĂȘtre accĂ©lĂ©rĂ© et mieux rĂ©parti en fonction des diffĂ©rents types de stress. Nous proposons pour cela plusieurs dĂ©terminants gĂ©nĂ©tiques qui pourraient permettre un gain dans des environnements stressants. Nos rĂ©sultats et mĂ©thodes sont discutĂ©s au regard des besoins en prĂ©conisation et amĂ©lioration variĂ©tale. Des pistes de recherche complĂ©mentaires et des amĂ©liorations ont aussi Ă©tĂ© suggĂ©rĂ©es.In a context of climate change, the characterization of wheat varieties in response to drought and heat stress events is one of the major challenges of agriculture. This PhD thesis, resulting from a private-public partnership between Arvalis ‘Institut du VĂ©gĂ©tal’, Biogemma and INRA (“Institut National de la Recherche Agronomique”), aimed at providing necessary knowledge and tools to identify drought or heat-tolerant varieties and breed for varieties that meet these requirements. Analyses were conducted using a panel of 220 commercial varieties, genotyped with 280K SNP and tested in 35 environments (combination of year, location and water regime) and an experiment under controlled conditions where heat stress was applied during grain filling. The complexity of the study of drought and heat tolerance led us to present this thesis by first separating hydric and thermal stresses, and then to explore a multi-stress analysis method. Even if breeding has improved the performance of varieties under optimal water conditions, we showed that genetic progress must be accelerated and better distributed according to different stress scenarios. We propose several genetic determinants that could allow genetic gain in stressful environments. Our results and methods are discussed in view of the needs for varietal recommendation and improvement. Additional research strategies and methods improvements were also suggested

    Analyse génétique et écophysiologique de la tolérance à la sÚcheresse et au stress thermique chez le blé tendre (T. Aestivum L.)

    No full text
    In a context of climate change, the characterization of wheat varieties in response to drought and heat stress events is one of the major challenges of agriculture. This PhD thesis, resulting from a private-public partnership between Arvalis ‘Institut du VĂ©gĂ©tal’, Biogemma and INRA (“Institut National de la Recherche Agronomique”), aimed at providing necessary knowledge and tools to identify drought or heat-tolerant varieties and breed for varieties that meet these requirements. Analyses were conducted using a panel of 220 commercial varieties, genotyped with 280K SNP and tested in 35 environments (combination of year, location and water regime) and an experiment under controlled conditions where heat stress was applied during grain filling. The complexity of the study of drought and heat tolerance led us to present this thesis by first separating hydric and thermal stresses, and then to explore a multi-stress analysis method. Even if breeding has improved the performance of varieties under optimal water conditions, we showed that genetic progress must be accelerated and better distributed according to different stress scenarios. We propose several genetic determinants that could allow genetic gain in stressful environments. Our results and methods are discussed in view of the needs for varietal recommendation and improvement. Additional research strategies and methods improvements were also suggested.Dans un contexte de changement climatique, la caractĂ©risation des variĂ©tĂ©s de blĂ© tendre en rĂ©ponse Ă  des Ă©vĂšnements de sĂ©cheresse et de stress thermique est un des dĂ©fis de l’agriculture. Cette thĂšse, issue d’un partenariat -public entre Arvalis-Institut du VĂ©gĂ©tal, Biogemma et l’INRA (Institut National de la Recherche Agronomique), avait pour but de dĂ©velopper des connaissances et des outils nĂ©cessaires Ă  l’identification de variĂ©tĂ©s tolĂ©rantes Ă  la sĂ©cheresse et au stress thermique et Ă  la crĂ©ation de variĂ©tĂ©s rĂ©pondant Ă  cette exigence. Pour ce faire, nous avons analysĂ© un panel de 220 variĂ©tĂ©s commerciales, gĂ©notypĂ©es avec 280K SNP et testĂ©es dans 35 environnements variĂ©s (combinaison d’annĂ©e, lieu et rĂ©gime hydrique), plus une expĂ©rimentation en conditions contrĂŽlĂ©es oĂč un stress thermique a Ă©tĂ© appliquĂ© pendant le remplissage du grain. La complexitĂ© de l’étude de la tolĂ©rance Ă  la sĂ©cheresse nous a conduit Ă  prĂ©senter cette thĂšse en sĂ©parant, dans un premier temps, l’étude des stress hydriques et thermiques, puis de prospecter une mĂ©thode d’analyse multi-stress. Nous avons montrĂ© que mĂȘme si la sĂ©lection a amĂ©liorĂ© la performance des variĂ©tĂ©s en condition hydrique optimale, le progrĂšs gĂ©nĂ©tique doit ĂȘtre accĂ©lĂ©rĂ© et mieux rĂ©parti en fonction des diffĂ©rents types de stress. Nous proposons pour cela plusieurs dĂ©terminants gĂ©nĂ©tiques qui pourraient permettre un gain dans des environnements stressants. Nos rĂ©sultats et mĂ©thodes sont discutĂ©s au regard des besoins en prĂ©conisation et amĂ©lioration variĂ©tale. Des pistes de recherche complĂ©mentaires et des amĂ©liorations ont aussi Ă©tĂ© suggĂ©rĂ©es

    Identification of QTLs affecting post-anthesis heat stress responses in European bread wheat

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    International audienceHeat stress is a critical abiotic stress for winter bread wheat ( Triticum aestivum L.) especially at the flowering and grain filling stages, limiting its growth and productivity in Europe and elsewhere. The breeding of new high-yield and stress-tolerant wheat varieties requires improved understanding of the physiological and genetic bases of heat tolerance. To identify genomic areas associated with plant and grain characteristics under heat stress, a panel of elite European wheat varieties ( N = 199) was evaluated under controlled conditions in 2016 and 2017. A split-plot design was used to test the effects of high temperature for ten days after flowering. Flowering time, leaf chlorophyll content, the number of productive spikes, grain number, grain weight and grain size were measured, and the senescence process was modeled. Using genotyping data from a 280 K SNP chip, a genome-wide association study was carried out to test the main effect of each SNP and the effect of SNP × treatment interaction. Genotype × treatment interactions were mainly observed for grain traits measured on the main shoots and tillers. We identified 10 QTLs associated with the main effect of at least one trait and seven QTLs associated with the response to post-anthesis heat stress. Of these, two main QTLs associated with the heat tolerance of thousand-kernel weight were identified on chromosomes 4B and 6B. These QTLs will be useful for breeders to improve grain yield in environments where terminal heat stress is likely to occur

    Improving nitrogen use efficiency in wheat by genome wide and candidate genes targeted association studies

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    Book of abstracts, ISBN: 978-3-900932-48-0Abstract p. 73Improving nitrogen use efficiency in wheat by genome wide and candidate genes targeted association studies. 13. IWG

    Genetic regions determine tolerance to nitrogen deficiency in European elite bread wheats grown under contrasting nitrogen stress scenarios

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    Increasing the nitrogen use efciency of wheat varieties is an important goal for breeding. However, most genetic studies of wheat grown at diferent nitrogen levels in the feld report signifcant interactions with the genotype. The chromo somal regions possibly involved in these interactions are largely unknown. The objective of this study was to quantify the response of elite bread wheat cultivars to diferent nitrogen feld stress scenarios and identify genomic regions involved in this response. For this purpose, 212 elite bread wheat varieties were grown in a multi-environment trial at diferent nitrogen levels. Genomic regions associated with grain yield, protein concentration and grain protein deviation responses to nitrogen defciency were identifed. Environments were clustered according to adjusted means for grain yield, yield components and grain protein concentration. Four nitrogen availability scenarios were identifed: optimal condition, moderate early defciency, severe late defciency, and severe continuous defciency. A large range of tolerance to nitrogen defciency was observed among varieties, which were ranked diferently in diferent nitrogen defciency scenarios. The well-known nega tive correlation between grain yield and grain protein concentration also existed between their respective tolerance indices. Interestingly, the tolerance indices for grain yield and grain protein deviation were either null or weakly positive meaning that breeding for the two traits should be less difcult than expected. Twenty-two QTL regions were identifed for the tolerance indices. By selecting associated markers, these regions may be selected separately or combined to improve the tolerance to N defciency within a breeding programme

    Using crop growth model stress covariates and AMMI decomposition to better predict genotype-by-environment interactions

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    International audienceFarmers are asked to produce more efficiently and to reduce their inputs in the context of climate change. They have to face more and more limiting factors that can combine in numerous stress scenarios. One solution to this challenge is to develop varieties adapted to specific environmental stress scenarios. For this, plant breeders can use genomic predictions coupled with environmental characterization to identify promising combinations of genes in relation to stress covariates. One way to do it is to take into account the genetic similarity between varieties and the similarity between environments within a mixed model framework. Molecular markers and environmental covariates (EC) can be used to estimate relevant covariance matrices. In the present study, based on a multi-environment trial of 220 European elite winter bread wheat (Triticum aestivum L.) varieties phenotyped in 42 environments, we compared reference regression models potentially including ECs, and proposed alternative models to increase prediction accuracy. We showed that selecting a subset of ECs, and estimating covariance matrices using an AMMI decomposition to benefit from the information brought by the phenotypic records of the training set are promising approaches to better predict genotype-by-environment interactions (G × E). We found that using a different kinship for the main genetic effect and the G × E effect increased prediction accuracy. Our study also demonstrates that integrative stress indexes simulated by crop growth models are more efficient to capture G × E than climatic covariates
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