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Plant metabolomics and breeding

hal.structure.identifierRésistance Induite et Bioprotection des Plantes - EA 4707 [RIBP]
dc.contributor.authorFERNANDEZ, Olivier
hal.structure.identifierBiometris
dc.contributor.authorMILLET, Emilie
hal.structure.identifierGénétique Diversité et Ecophysiologie des Céréales [GDEC]
hal.structure.identifierGénétique Quantitative et Evolution - Le Moulon (Génétique Végétale) [GQE-Le Moulon]
dc.contributor.authorRINCENT, Renaud
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorPRIGENT, Sylvain
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorPÉTRIACQ, Pierre
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorGIBON, Yves
dc.contributor.editorElsevier
dc.date.issued2021
dc.identifier.isbn978-0-12-821688-0
dc.description.abstractEnMetabolomics has become essential in the field of phenotyping, providing information halfway between genomes and phenotypes that can be used to predict complex traits. Thus in plants, studies have shown that metabolomics can be used to predict complex traits such as leaf biomass or yield. From a fundamental point of view, these advances can be used to identify new mechanisms involved in plant performance, for example, through identifying and deciphering QTLs involved in the control of the underlying metabolic pathways. From a breeding perspective, “phenomic selection” protocols combining phenotyping under optimal and/or stressing conditions, and metabolomics can be used to construct models that are able to predict traits of interest. Such developments will only be relevant if high throughput and reasonable costs can be achieved, if possible not far from those of genomic selection. The combination of robotics and nontargeted mass spectrometry already allows to process thousands of samples whereas the current capabilities of bioinformatics make it possible to develop predictive models from thousands variables.
dc.language.isoen
dc.source.titlePlant Metabolomics in full swing
dc.subjectplante
dc.subject.enBreeding
dc.subject.enPhenomics
dc.subject.enMetabolomics
dc.subject.enModeling
dc.subject.enPrediction
dc.title.enPlant metabolomics and breeding
dc.typeChapitre d'ouvrage
dc.identifier.doi10.1016/bs.abr.2020.09.020
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
bordeaux.volume98
bordeaux.title.proceedingPlant Metabolomics in full swing
hal.identifierhal-03150312
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03150312v1
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