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STICS Soil–Crop Model Performance for Predicting Biomass and Nitrogen Status of Spring Barley Cropped for 31 Years in a Gleysolic Soil from Northeastern Quebec (Canada)

hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierUniversité Laval [Québec] [ULaval]
hal.structure.identifierQuebec Research and Development Centre
dc.contributor.authorRAVELOJAONA, Nomena
hal.structure.identifierQuebec Research and Development Centre
dc.contributor.authorJÉGO, Guillaume
hal.structure.identifierUniversité Laval [Québec] [ULaval]
hal.structure.identifierQuebec Research and Development Centre
dc.contributor.authorZIADI, Noura
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorMOLLIER, Alain
hal.structure.identifierQuebec Research and Development Centre
dc.contributor.authorLAFOND, Jean
hal.structure.identifierUniversité Laval [Québec] [ULaval]
dc.contributor.authorKARAM, Antoine
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
dc.contributor.authorMOREL, Christian
dc.date.accessioned2024-04-08T11:42:27Z
dc.date.available2024-04-08T11:42:27Z
dc.date.issued2023-10
dc.identifier.issn2073-4395
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/195070
dc.description.abstractEnSpring barley (Hordeum vulgare L.) is an increasingly important cash crop in the province of Quebec (Canada). Soil–crop models are powerful tools for analyzing and supporting sustainable crop production. STICS model has not yet been tested for spring barley grown over several decades. This study was conducted to calibrate and evaluate the STICS model, without annual reinitialization, for predicting aboveground biomass and N nutrition attributes at harvest during 31 years of successive cropping of spring barley grown in soil (silty clay, Humic Gleysol) from the Saguenay–Lac-Saint-Jean region (northeastern Quebec, Canada). There is a good agreement between observed and predicted variables during the 31 successive barley cropping years. STICS predicted well biomass accumulation and plant N content with a low relative bias (|normalized mean error| = 0–13%) and small prediction error (normalized root mean square error = 6–25%). Overall, the STICS outputs reproduced the same trends as the field-observed data with various tillage systems and N sources. Predictions of crop attributes were more accurate in years with rainfall close to the long-term average. These ‘newly calibrated’ parameters in STICS for spring barley cropped under continental cold and humid climates require validation using independent observation datasets from other sites.
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enSTICS
dc.subject.ensoil–crop model
dc.subject.engleysol
dc.subject.enspring barley
dc.subject.enlong term
dc.subject.encold and humid continental climate
dc.title.enSTICS Soil–Crop Model Performance for Predicting Biomass and Nitrogen Status of Spring Barley Cropped for 31 Years in a Gleysolic Soil from Northeastern Quebec (Canada)
dc.title.enSTICS Soil–Crop Model Performance for Predicting Biomass and Nitrogen Status of Spring Barley Cropped for 31 Years in a Gleysolic Soil from Northeastern Quebec (Canada)
dc.typeArticle de revue
dc.identifier.doi10.3390/agronomy13102540
dc.subject.halSciences de l'environnement
bordeaux.journalAgronomy
bordeaux.page2540
bordeaux.volume13
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue10
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-04232714
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04232714v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Agronomy&rft.date=2023-10&rft.volume=13&rft.issue=10&rft.spage=2540&rft.epage=2540&rft.eissn=2073-4395&rft.issn=2073-4395&rft.au=RAVELOJAONA,%20Nomena&J%C3%89GO,%20Guillaume&ZIADI,%20Noura&MOLLIER,%20Alain&LAFOND,%20Jean&rft.genre=article


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