Genetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modelling and genome‐wide association

Mangin, Brigitte; Casadebaig, Pierre; Cadic, Eléna; Blanchet, Nicolas; Boniface, Marie‐Claude; Carrère, Sébastien; Gouzy, Jérôme; Legrand, Ludovic; Mayjonade, Baptiste; Pouilly, Nicolas; André, Thierry; Coque, Marie; Piquemal, Joël; Laporte, Marion; Vincourt, Patrick; Muños, Stéphane; Langlade, Nicolas

doi:10.1111/pce.12961

Cited by 75 publications

(71 citation statements)

References 72 publications

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“…Methods using plasticity as a trait per se are also attractive to identify environmentally sensitive QTLs. This strategy was applied in maize, sunflower, barley and soybean to detect the loci governing GxE (Lacaze et al, 2009; Gage et al, 2017; Kusmec et al, 2017; Mangin et al, 2017; Xavier et al, 2018). With different plasticity parameters, we identified a total of 63 plasticity QTLs and only 24% were also identified with the QEI models.…”

Section: Discussionmentioning

confidence: 99%

“…The latter assumes an independent genetic control of mean phenotype and plasticity of a trait. Using a wide range of environmental conditions, the prevalence of the allelic-sensitivity or gene-regulatory model in explaining the genetic architecture of PP was explored in different crop species including barley (Lacaze et al 2009), maize (Gage et al, 2017; Kusmec et al, 2017), soybean (Xavier et al, 2018) and sunflower (Mangin et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…If the detailed description of the environments is available, the environmental index used in the Finlay-Wilkinson regression model can be replaced by environmental covariates such as stress indexes through factorial regression models (Malosetti et al 2013). Thus plasticity could be estimated as the degree of sensitivity to a given stress continuum (Mangin et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Genetic basis of phenotypic plasticity and genotype x environment interaction in a multi-parental population

Diouf

Derivot²,

Koussevitzky³

et al. 2020

Preprint

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Deciphering the genetic basis of phenotypic plasticity and genotype x environment interaction (GxE) is of primary importance for plant breeding in the context of global climate change. Tomato is a widely cultivated crop that can grow in different geographical habitats and which evinces a great capacity of expressing phenotypic plasticity. We used a multi-parental advanced generation intercross (MAGIC) tomato population to explore GxE and plasticity for multiple traits measured in a multi-environment trial (MET) design comprising optimal cultural conditions and water deficit, salinity and heat stress over 12 environments. Substantial GxE was observed for all the traits measured. Different plasticity parameters were estimated through the Finlay-Wilkinson and factorial regression models and used together with the genotypic means for quantitative trait loci (QTL) mapping analyses. Mixed linear models were further used to investigate the presence of interactive QTLs (QEI). The results highlighted a complex genetic architecture of tomato plasticity and GxE. Candidate genes that might be involved in the occurrence of GxE were proposed, paving the way for functional characterization of stress response genes in tomato and breeding for climate-adapted crop.HighlightThe genetic architecture of tomato response to several abiotic stresses is deciphered. QTL for plasticity and QTL x Environment were identified in a highly recombinant MAGIC population.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genetic basis of phenotypic plasticity and genotype x environment interaction in a multi-parental population

Diouf

Derivot²,

Koussevitzky³

et al. 2020

Preprint

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“…GWAS was successfully implemented to many plant species including sunflower. In the case of sunflower, GWAS gave a new insight into flowering time (Bonnafous et al, 2018), male fertility restoration , seedling growth (Masalia et al, 2018), plasticity of oil yield for combined abiotic stresses (Mangin et al, 2017), basal and apical branching (Nambeesan et al, 2015), flower morphological traits (Dowell et al, 2019), and others.…”

Section: Genome-wide Association Studiesmentioning

confidence: 99%

High-throughput technologies for sunflower oil improvement

2019

Plant Genetic Resources for Breeding and Producing Functional Nutraceutical Food

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Cultivated sunflower in one of the key plants used by humans. Nowadays sunflower is planted mainly for the seed oil. It takes position number four on the global seed oil market. Selection of hybrids with increased oil content and changed oil properties is one of the basic directions in sunflower hybrid breeding. Due to the extensive climate change and the growing human population, selection time became a serious bottleneck on the way to the production of new cultivars. High-throughput genotyping and phenotyping technologies can push forward sunflower breeding and help reducing time required for the selection process.

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“…A novel approach has recently been undertaken to model the impact of multiple abiotic stresses on sunflower oil yield (Mangin et al, 2016). In this article, the authors developed stress indicators to characterize 14 environments for three abiotic stresses (cold, drought, and nitrogen) using the SUNFLO crop model and phenotypic variations of three commercial varieties.…”

Section: Multiple Stress Approachmentioning

confidence: 99%

Sunflower crop and climate change: vulnerability, adaptation, and mitigation potential from case-studies in Europe

Debaeke¹,

Casadebaig²,

Flénet

et al. 2017

OCL

Self Cite

113

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-Climate change is characterized by higher temperatures, elevated atmospheric CO 2 concentrations, extreme climatic hazards, and less water available for agriculture. Sunflower, a springsown crop often cultivated in southern and eastern regions of Europe, could be more vulnerable to the direct effect of heat stress at anthesis and drought during its growing cycle, both factors resulting in severe yield loss, oil content decrease, and fatty acid alterations. Adaptations through breeding (earliness, stress tolerance), crop management (planting dates), and shifting of growing areas could be developed, assessed and combined to partly cope with these negative impacts. New cultivation opportunities could be expected in northern parts of Europe where sunflower is not grown presently and where it could usefully contribute to diversify cereal-based cropping systems. In addition, sunflower crop could participate to the mitigation solution as a low greenhouse gas emitter compared to cereals and oilseed rape. Sunflower crop models should be revised to account for these emerging environmental factors in order to reduce the uncertainties in yield and oil predictions. The future of sunflower in Europe is probably related to its potential adaptation to climate change but also to its competitiveness and attractiveness for food and energy.Keywords: CO 2 / temperature / crop model / biotic stress / water deficit Résumé -Culture du tournesol et changement climatique : vulnérabilité, adaptation et potentiel d'atténuation via des études de cas en Europe. Le changement climatique se caractérise par des températures élevées, de plus fortes concentrations atmosphériques en CO 2 , des risques climatiques extrêmes et moins d'eau disponible pour l'agriculture. Le tournesol, culture semée au printemps dans le sud et l'est de l'Europe, pourrait être plus exposé à l'avenir aux fortes températures et à un déficit hydrique marqué dès la floraison, avec pour conséquences des pertes de rendement, une diminution de la teneur en huile et une altération de la composition en acides gras. Des adaptations sont possibles à court et moyen terme par la sélection (précocité, tolérance aux stress), la conduite de culture (date de semis) et le déplacement des zones de production, permettant de faire face en partie aux impacts négatifs attendus. Ainsi le tournesol pourrait être cultivé plus au nord participant utilement à la nécessaire diversification des bassins céréaliers. En outre, la culture de tournesol étant faiblement émettrice de gaz à effet de serre par rapport aux céréales ou au colza pourrait contribuer davantage à la solution climatique apportée par l'agriculture. Les modèles de culture devraient être revus pour mieux tenir compte de ces facteurs environnementaux émergents si l'on veut réduire les incertitudes dans les prédictions de rendement et de teneur en huile. L'avenir du tournesol en Europe est probablement lié à son potentiel d'adaptation au changement climatique, mais dépendra aussi de sa compétitivité et de son attractivité en t...

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Genetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modelling and genome‐wide association

Cited by 75 publications

References 72 publications

Genetic basis of phenotypic plasticity and genotype x environment interaction in a multi-parental population

Genetic basis of phenotypic plasticity and genotype x environment interaction in a multi-parental population

High-throughput technologies for sunflower oil improvement

Sunflower crop and climate change: vulnerability, adaptation, and mitigation potential from case-studies in Europe

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