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To what extent can ecoclimatic indicators assist crop performance predictions in oilseed rape upon repeated heat stresses?

hal.structure.identifierEcophysiologie Végétale, Agronomie et Nutritions NCS [EVA]
dc.contributor.authorMAGNO MASSUIA DE ALMEIDA, Lethicia
hal.structure.identifierInstitut de Génétique, Environnement et Protection des Plantes [IGEPP]
dc.contributor.authorCORLOUER, Erwan
hal.structure.identifierInstitut de Génétique, Environnement et Protection des Plantes [IGEPP]
dc.contributor.authorLAPERCHE, Anne
hal.structure.identifierInstitut de Génétique, Environnement et Protection des Plantes [IGEPP]
dc.contributor.authorNESI, Nathalie
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorMOLLIER, Alain
hal.structure.identifierEcophysiologie Végétale, Agronomie et Nutritions NCS [EVA]
dc.contributor.authorBRUNEL-MUGUET, Sophie
dc.date.accessioned2024-04-08T11:45:40Z
dc.date.available2024-04-08T11:45:40Z
dc.date.issued2022-11
dc.identifier.issn1161-0301
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195204
dc.description.abstractEnModelling is an obligate approach to predict crop yield under a wide range of environmental conditions. The present work aims to improve predictions of crop performance under repeated high temperature events by (i) demonstrating that ecoclimatic indicators (i.e. calculated for a given phenological stage) allow a finer description of the plant critical stages, and (ii) highlighting the non-additive effects of these successive stressful events. For this purpose, statistical models based on large datasets in oilseed rape were developed to look for correlations between ecoclimatic indicators and the plant performance-related variables (i.e. seed yield, lipid and protein content), as follows: (i) the plant cycle was divided into four intervals after flowering, according to the physi-ological stages of development in oilseed rape; (ii) the number of warm days (i.e. above 25 ???C and 30 ???C, respectively) in each interval for 26 combinations of location x year in France was scored; (iii) several statistical models that differed from the combination of ecoclimatic indicators were evaluated; and (iv) the best fit model for each plant performance-related variable was selected following a stepwise approach based on the Akaike Information Criterion. The results highlighted that contrasting final crop performances were tightly related to the timing, frequency and intensity of high temperature events after flowering. In addition, specific combinations of these ecoclimatic indicators were much more predictive of the crop performance-related variables than a single cumulative indicator which reflects the sum of all stresses in the same period. These results support our prior assumption that the outcome of several successive stressful events is not equal to the sum of each individual effect. The proposed approach is a proof of concept of the need to consider stress memory (i.e. the capacity of plants to store and retrieve information acquired during an initial exposure to stress) in predictive crop models, so as to better estimate the effects of repeated stresses and their consequences on crop yield and quality of harvested products.
dc.language.isoen
dc.publisherElsevier
dc.subject.enOilseed rape
dc.subject.enHeat stress
dc.subject.enStress memory
dc.subject.enCrop modelling
dc.subject.enIndicators
dc.title.enTo what extent can ecoclimatic indicators assist crop performance predictions in oilseed rape upon repeated heat stresses?
dc.typeArticle de revue
dc.identifier.doi10.1016/j.eja.2022.126622
dc.subject.halSciences de l'environnement
bordeaux.journalEuropean Journal of Agronomy
bordeaux.page126622
bordeaux.volume141
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03845468
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03845468v1
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