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dc.rights.licenseopenen_US
hal.structure.identifierEcophysiologie et Génomique Fonctionnelle de la Vigne [UMR EGFV]
dc.contributor.authorYANG, Weiwei
dc.contributor.authorZHU, Junqi
hal.structure.identifierEcophysiologie et Génomique Fonctionnelle de la Vigne [UMR EGFV]
dc.contributor.authorVAN LEEUWEN, Cornelis
ORCID: 0000-0002-9428-0167
IDREF: 200518208
dc.contributor.authorDAI, Zhanwu
hal.structure.identifierEcophysiologie et Génomique Fonctionnelle de la Vigne [UMR EGFV]
dc.contributor.authorGAMBETTA, Gregory
ORCID: 0000-0002-8838-5050
IDREF: 225449641
dc.date.accessioned2024-02-15T15:01:22Z
dc.date.available2024-02-15T15:01:22Z
dc.date.issued2023-04
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/188164
dc.description.abstractEnClimate and water availability greatly affect each season’s grape yield and quality. Using models to accurately predict environment impacts on fruit productivity and quality is a huge challenge.We calibrated and validated the functional-structuralmodel, GrapevineXL, with a data set including grapevine seasonal midday stem water potential (Ψ xylem), berry dry weight (DW), fresh weight (FW), and sugar concentration per volume ([Sugar]) for a wine grape cultivar (Vitis vinifera cv.Cabernet Franc) in field conditions over 13 years in Bordeaux, France. Our results showed that the model could make a fair prediction of seasonal Ψ xylem and good-to-excellent predictions of berry DW, FW, [Sugar] and leaf gas exchange responses to predawn andmidday leaf water potentials under diverse environmental conditions with 14 key parameters. By running virtual experiments to mimic climate change, an advanced veraison (i.e. the onset of ripening) of 14 and 28 days led to significant decreases of berry FW by 2.70% and 3.22%, clear increases of berry [Sugar] by 2.90% and 4.29%, and shortened ripening duration in 8 out of 13 simulated years, respectively. Moreover, the impact of the advanced veraison varied with seasonal patterns of climate and soil water availability. Overall, the results showed that the GrapevineXLmodel can predict plant water use and berry growth in field conditions and could serve as a valuable tool for designing sustainable vineyard management strategies to cope with climate change.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.title.enGrapevineXL reliably predicts multi-annual dynamics of vine water status, berry growth, and sugar accumulation in vineyards
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/hr/uhad071en_US
dc.subject.halSciences du Vivant [q-bio]/Biologie végétaleen_US
bordeaux.journalHorticulture Researchen_US
bordeaux.volume10en_US
bordeaux.hal.laboratoriesEcophysiologie et Génomique Fonctionnelle de la Vigne (EGFV) - UMR 1287en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.institutionINRAEen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Horticulture%20Research&rft.date=2023-04&rft.volume=10&rft.au=YANG,%20Weiwei&ZHU,%20Junqi&VAN%20LEEUWEN,%20Cornelis&DAI,%20Zhanwu&GAMBETTA,%20Gregory&rft.genre=article


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