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dc.rights.licenseopenen_US
hal.structure.identifierEcophysiologie et Génomique Fonctionnelle de la Vigne [UMR EGFV]
dc.contributor.authorSAINT CAST, Clément
dc.contributor.authorLOBET, Guillaume
dc.contributor.authorCABRERA-BOSQUET, Llorenç
dc.contributor.authorCOUVREUR, Valentin
dc.contributor.authorPRADAL, Christophe
dc.contributor.authorTARDIEU, François
dc.contributor.authorDRAYE, Xavier
dc.date.accessioned2023-01-24T15:48:53Z
dc.date.available2023-01-24T15:48:53Z
dc.date.issued2022-04-19
dc.identifier.issn2517-5025en_US
dc.identifier.otherdiac005_suppl_Supplementary_Materialsen_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/171774
dc.description.abstractEnPlant phenotyping platforms generate large amounts of high-dimensional data at different scales of plant organization. The possibility to use this information as inputs of models is an opportunity to develop models that integrate new processes and genetic inputs. We assessed to what extent the phenomics and modelling communities can address the issues of interoperability and data exchange, using a science mapping approach (i.e. visualization and analysis of a broad range of scientific and technological activities as a whole). In this paper, we (i) evaluate connections, (ii) identify compatible and connectable research topics and (iii) propose strategies to facilitate connection across communities. We applied a science mapping approach based on reference and term analyses to a set of 4332 scientific papers published by the plant phenomics and modelling communities from 1980 to 2019, retrieved using the Elsevier’s Scopus database and the quantitative-plant.org website. The number of papers on phenotyping and modelling dramatically increased during the past decade, boosted by progress in phenotyping technologies and by key developments at hardware and software levels. The science mapping approach indicated a large diversity of research topics studied in each community. Despite compatibilities of research topics, the level of connection between the phenomics and modelling communities was low. Although phenomics and modelling crucially need to exchange data, the two communities appeared to be weakly connected. We encourage these communities to work on ontologies, harmonized formats, translators and connectors to facilitate transparent data exchange.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.title.enConnecting plant phenotyping and modelling communities: lessons from science mapping and operational perspectives
dc.title.alternativein silico Plantsen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1093/insilicoplants/diac005en_US
dc.subject.halSciences du Vivant [q-bio]/Biologie végétaleen_US
dc.description.sponsorshipEuropePreparation for EMPHASIS: European Infrastructure for multi-scale Plant Phenomics and Simulation for food security in a changing climateen_US
dc.description.sponsorshipEuropeEuropean Plant Phenotyping Network 2020en_US
bordeaux.journalin silico Plantsen_US
bordeaux.pagediac005en_US
bordeaux.volume4en_US
bordeaux.hal.laboratoriesEcophysiologie et Génomique Fonctionnelle de la Vigne (EGFV) - UMR 1287en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux Sciences Agroen_US
bordeaux.institutionINRAEen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_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=in%20silico%20Plants&rft.date=2022-04-19&rft.volume=4&rft.issue=1&rft.spage=diac005&rft.epage=diac005&rft.eissn=2517-5025&rft.issn=2517-5025&rft.au=SAINT%20CAST,%20Cl%C3%A9ment&LOBET,%20Guillaume&CABRERA-BOSQUET,%20Lloren%C3%A7&COUVREUR,%20Valentin&PRADAL,%20Christophe&rft.genre=article


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