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Ann. bot.

hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorBEAUVOIT, Bertrand
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorBELOUAH, Isma
dc.contributor.authorBERTIN, Nadia
dc.contributor.authorCAKPO, Coffi Belmys
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorCOLOMBIE, Sophie
hal.structure.identifierEcophysiologie et Génomique Fonctionnelle de la Vigne [UMR EGFV]
dc.contributor.authorDAI, Zhanwu
dc.contributor.authorGAUTIER, Hélène
dc.contributor.authorGÉNARD, Michel
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorMOING, Annick
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorROCH, Léa
dc.contributor.authorVERCAMBRE, Gilles
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorGIBON, Yves
dc.date2018
dc.date.issued2018
dc.identifier.issn0305-7364
dc.description.abstractEnBackground One of the key goals of fruit biology is to understand the factors that influence fruit growth and quality, ultimately with a view to manipulating them for improvement of fruit traits. Scope Primary metabolism, which is not only essential for growth but is also a major component of fruit quality, is an obvious target for improvement. However, metabolism is a moving target that undergoes marked changes throughout fruit growth and ripening. Conclusions Agricultural practice and breeding have successfully improved fruit metabolic traits, but both face the complexity of the interplay between development, metabolism and the environment. Thus, more fundamental knowledge is needed to identify further strategies for the manipulation of fruit metabolism. Nearly two decades of post-genomics approaches involving transcriptomics, proteomics and/or metabolomics have generated a lot of information about the behaviour of fruit metabolic networks. Today, the emergence of modelling tools is providing the opportunity to turn this information into a mechanistic understanding of fruits, and ultimately to design better fruits. Since high-quality data are a key requirement in modelling, a range of must-have parameters and variables is proposed.
dc.language.isoen
dc.publisherOxford University Press (OUP)
dc.subjectStructure primaire
dc.subjectArboriculture fruitière
dc.subjectModélisation
dc.subjectQualité du fruit
dc.subjectCroissance du fruit
dc.subjectMaturation du fruit
dc.subjectContrainte stœchiométrique
dc.subjectDiversité des pratiques agricoles
dc.subject.enKinetic Modelling
dc.subject.enMetabolism
dc.subject.enAgricultural Practice
dc.subject.enFruits
dc.subject.enPost-Genomics
dc.subject.enStoichiometric Modelling
dc.subject.enProcess-Based Modelling
dc.titleAnn. bot.
dc.title.enPutting primary metabolism into perspective to obtain better fruits
dc.typeArticle de revue
dc.identifier.doi10.1093/aob/mcy057
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
bordeaux.journalAnnals of Botany
bordeaux.page1-21
bordeaux.volume122
bordeaux.issue1
bordeaux.peerReviewedoui
hal.identifierhal-02539159
hal.version1
hal.popularnon
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02539159v1
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