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Connecting plant phenotyping and modelling communities: lessons from science mapping and operational perspectives

hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierEarth and Life Institute [Louvain-La-Neuve] [ELI]
dc.contributor.authorSAINT CAST, Clément
hal.structure.identifierForschungszentrum Jülich GmbH | Centre de recherche de Jülich | Jülich Research Centre [FZJ]
hal.structure.identifierEarth and Life Institute [Louvain-La-Neuve] [ELI]
dc.contributor.authorLOBET, Guillaume
hal.structure.identifierÉcophysiologie des Plantes sous Stress environnementaux [LEPSE]
dc.contributor.authorCABRERA-BOSQUET, Llorenç
hal.structure.identifierEarth and Life Institute [Louvain-La-Neuve] [ELI]
dc.contributor.authorCOUVREUR, Valentin
hal.structure.identifierScientific Data Management [ZENITH]
hal.structure.identifierAmélioration génétique et adaptation des plantes méditerranéennes et tropicales [UMR AGAP]
hal.structure.identifierDépartement Systèmes Biologiques [Cirad-BIOS]
dc.contributor.authorPRADAL, Christophe
hal.structure.identifierÉcophysiologie des Plantes sous Stress environnementaux [LEPSE]
dc.contributor.authorTARDIEU, François
hal.structure.identifierEarth and Life Institute - Environmental Sciences [ELIE]
dc.contributor.authorDRAYE, Xavier
dc.date.accessioned2024-04-08T11:47:13Z
dc.date.available2024-04-08T11:47:13Z
dc.date.issued2022-01-01
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195273
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.isoen
dc.publisherOxford Academic
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enBibliometric analyses
dc.subject.endata and model integration
dc.subject.enimaging
dc.subject.enmodelling
dc.subject.ennetwork
dc.subject.enplant phenotyping.
dc.title.enConnecting plant phenotyping and modelling communities: lessons from science mapping and operational perspectives
dc.typeArticle de revue
dc.identifier.doi10.1093/insilicoplants/diac005
dc.subject.halInformatique [cs]/Modélisation et simulation
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale/Amélioration des plantes
dc.subject.halSciences de l'Homme et Société/Sciences de l'information et de la communication
dc.description.sponsorshipEuropeEuropean Plant Phenotyping Network 2020
bordeaux.journalin silico Plants
bordeaux.page1-13/diac005
bordeaux.volume4
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue1
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-03686060
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03686060v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=in%20silico%20Plants&rft.date=2022-01-01&rft.volume=4&rft.issue=1&rft.spage=1-13/diac005&rft.epage=1-13/diac005&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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