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Physiological trait networks enhance understanding of crop growth and water use in contrasting environments

hal.structure.identifierWater Management and Systems Research [WMSR]
dc.contributor.authorGLEASON, Sean
hal.structure.identifierWater Management and Systems Research [WMSR]
dc.contributor.authorBARNARD, Dave
hal.structure.identifierWater Management and Systems Research [WMSR]
dc.contributor.authorGREEN, Timothy
hal.structure.identifierUniversity at Buffalo [SUNY] [SUNY Buffalo]
dc.contributor.authorMACKAY, Scott
hal.structure.identifierPurdue University [West Lafayette]
dc.contributor.authorWANG, Diane
hal.structure.identifierWater Management and Systems Research [WMSR]
dc.contributor.authorAINSWORTH, Elizabeth
dc.contributor.authorALTENHOFEN, Jon
hal.structure.identifierUniversity of Tasmania [Hobart, Australia] [UTAS]
dc.contributor.authorBRODRIBB, Timothy
hal.structure.identifierLaboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant [PIAF]
dc.contributor.authorCOCHARD, Hervé
hal.structure.identifierWater Management and Systems Research [WMSR]
dc.contributor.authorCOMAS, Louise
hal.structure.identifierQueensland Alliance for Agriculture and Food Innovation [QAAFI]
dc.contributor.authorCOOPER, Mark
hal.structure.identifierLaboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant [PIAF]
dc.contributor.authorCREEK, Danielle
hal.structure.identifierWater Management and Systems Research [WMSR]
dc.contributor.authorDEJONGE, Kendall
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorDELZON, Sylvain
hal.structure.identifierUniversity of Missouri [Columbia] [Mizzou]
dc.contributor.authorFRITSCHI, Felix
hal.structure.identifierThe University of Queensland [UQ [All campuses : Brisbane, Dutton Park Gatton, Herston, St Lucia and other locations]]
dc.contributor.authorHAMMER, Graeme
hal.structure.identifierColorado State University [Fort Collins] [CSU]
dc.contributor.authorHUNTER, Cameron
hal.structure.identifierNational Center for Atmospheric Research [Boulder] [NCAR]
dc.contributor.authorLOMBARDOZZI, Danica
hal.structure.identifierUniversity of Florida [Gainesville] [UF]
dc.contributor.authorMESSINA, Carlos
hal.structure.identifierColorado State University [Fort Collins] [CSU]
dc.contributor.authorOCHELTREE, Troy
hal.structure.identifierWater Management and Systems Research [WMSR]
dc.contributor.authorSTEVENS, Bo Maxwell
hal.structure.identifierWater Management and Systems Research [WMSR]
dc.contributor.authorSTEWART, Jared
hal.structure.identifierInternational Crops Research Institute for the Semi-Arid Tropics [Inde] [ICRISAT]
dc.contributor.authorVADEZ, Vincent
hal.structure.identifierWater Management and Systems Research [WMSR]
dc.contributor.authorWENZ, Joshua
hal.structure.identifierMacquarie University
dc.contributor.authorWRIGHT, Ian
hal.structure.identifierWater Management and Systems Research [WMSR]
dc.contributor.authorYEMOTO, Kevin
hal.structure.identifierWater Management and Systems Research [WMSR]
dc.contributor.authorZHANG, Huihui
dc.date.issued2022-09
dc.identifier.issn0140-7791
dc.description.abstractEnPlant function arises from a complex network of structural and physiological traits. Explicit representation of these traits, as well as their connections with other biophysical processes, is required to advance our understanding of plant-soil-climate interactions. We used the Terrestrial Regional Ecosystem Exchange Simulator (TREES) to evaluate physiological trait networks in maize. Net primary productivity (NPP) and grain yield were simulated across five contrasting climate scenarios. Simulations achieving high NPP and grain yield in high precipitation environments featured trait networks conferring high water use strategies: deep roots, high stomatal conductance at low water potential ("risky" stomatal regulation), high xylem hydraulic conductivity and high maximal leaf area index. In contrast, high NPP and grain yield was achieved in dry environments with low late-season precipitation via water conserving trait networks: deep roots, high embolism resistance and low stomatal conductance at low leaf water potential ("conservative" stomatal regulation). We suggest that our approach, which allows for the simultaneous evaluation of physiological traits, soil characteristics and their interactions (i.e., networks), has potential to improve our understanding of crop performance in different environments. In contrast, evaluating single traits in isolation of other coordinated traits does not appear to be an effective strategy for predicting plant performance.
dc.language.isoen
dc.publisherWiley
dc.subject.enbreeding
dc.subject.encrop improvement
dc.subject.enhydraulic traits
dc.subject.enmaize
dc.subject.enphotosynthesis
dc.subject.enplant growth
dc.subject.enprocess simulation
dc.subject.enstomata
dc.subject.enwater potential
dc.subject.enxylem
dc.title.enPhysiological trait networks enhance understanding of crop growth and water use in contrasting environments
dc.typeArticle de revue
dc.identifier.doi10.1111/pce.14382
dc.subject.halSciences de l'environnement
bordeaux.journalPlant, Cell and Environment
bordeaux.page2554-2572
bordeaux.volume45
bordeaux.issue9
bordeaux.peerReviewedoui
hal.identifierhal-04163343
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04163343v1
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