Impact of calibration strategy and data on wheat simulation with the DSSAT‐Nwheat model

dc.contributor.authorShawon, Ashifur Rahman
dc.contributor.authorAttia, Ahmed
dc.contributor.authorKo, Jonghan
dc.contributor.authorMemic, Emir
dc.contributor.authorUptmoor, Ralf
dc.contributor.authorHackauf, Bernd
dc.contributor.authorFeike, Til
dc.contributor.corporateShawon, Ashifur Rahman; Institute for Strategies and Technology Assessment, Julius Kühn Institute (JKI)–Federal Research Centre for Cultivated Plants, Kleinmachnow, Germany
dc.contributor.corporateAttia, Ahmed; Institute for Strategies and Technology Assessment, Julius Kühn Institute (JKI)–Federal Research Centre for Cultivated Plants, Kleinmachnow, Germany
dc.contributor.corporateKo, Jonghan; Department of Applied Plant Science, Chonnam National University, Gwangju, Republic of Korea
dc.contributor.corporateMemic, Emir; Department of Agronomy, Institute of Crop Science, University of Hohenheim, Stuttgart, Germany
dc.contributor.corporateUptmoor, Ralf; Department of Agronomy, University of Rostock, Rostock, Germany
dc.contributor.corporateHackauf, Bernd; Institute for Breeding Research on Agricultural Crops, Julius Kühn Institute (JKI)–Federal Research Centre for Cultivated Plants, Groß Lüsewitz, Germany
dc.contributor.corporateFeike, Til; Institute for Strategies and Technology Assessment, Julius Kühn Institute (JKI)–Federal Research Centre for Cultivated Plants, Kleinmachnow, Germany
dc.date.accessioned2025-07-29T12:08:25Z
dc.date.available2025-07-29T12:08:25Z
dc.date.issued2025
dc.date.updated2025-07-18T14:55:02Z
dc.description.abstractCropping system models (CSMs) are valuable tools for analyzing genotype, environment, and management (G × E × M) interactions in crop production. To apply a CSM in a new region with specific soils, climate, and cultivars, proper calibration and evaluation are required. However, calibration methods vary widely, often depending on modelers' expertise and approach. This study compares three calibration strategies for the DSSAT‐Nwheat model using two datasets: one including yield components (1000‐kernel mass, ears per m 2 , grain number per m 2 ) alongside phenology and grain yield, and another excluding yield components. The datasets cover ∼100 site‐years of winter wheat ( Triticum aestivum ) data from German pre‐registration trials and field experiments. The calibration approaches were (1) stepwise calibration of phenology, biomass, and yield, (2) simultaneous calibration of multiple genetic coefficients, and (3) a hybrid approach combining elements of both. The Time‐Series cultivar coefficient estimator tool was used for implementation. Including yield component data improved model accuracy, reducing root mean square error (RMSE) by up to 10% for key variables such as phenology (3.4–5.5 days). Future wheat yield projections under selected climate scenarios varied by strategy and dataset, ranging from 6376 to 7473 kg ha −1 in fertile, wet soils and 6108 to 6757 kg ha −1 in poorer, dry soils. These results highlight the impact of calibration strategy and dataset choice on model performance. Transparent calibration practices are essential for improving CSM reliability in regional agricultural analysis under diverse environmental conditions.en
dc.description.sponsorshipThis research was supported by the project PRoKlima funded by the German Federal Ministry of Agriculture, Food and Regional Identity (BMLEH) under the Climate Protection Program 2022 and by the project RYE‐SUS under the ERA‐NET Cofund SusCrop, Grant/Award Number: N˚771134.
dc.identifier.urihttps://doi.org/10.1002/agj2.70111
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/17958
dc.language.isoeng
dc.rights.licensecc_by
dc.subject.ddc630
dc.titleImpact of calibration strategy and data on wheat simulation with the DSSAT‐Nwheat modelen
dc.type.diniArticle
dcterms.bibliographicCitationAgronomy journal, 117 (2025), 4, e70111. https://doi.org/10.1002/agj2.70111. ISSN: 1435-0645
dcterms.bibliographicCitation.articlenumbere70111
dcterms.bibliographicCitation.issn1435-0645
dcterms.bibliographicCitation.issue4
dcterms.bibliographicCitation.journaltitleAgronomy journal
dcterms.bibliographicCitation.originalpublishernameWiley
dcterms.bibliographicCitation.originalpublisherplaceHoboken
dcterms.bibliographicCitation.pageend
dcterms.bibliographicCitation.pagestart
dcterms.bibliographicCitation.volume117
local.export.bibtex@article{Shawon2025, doi = {10.1002/agj2.70111}, author = {Shawon, Ashifur Rahman and Attia, Ahmed and Ko, Jonghan et al.}, title = {Impact of calibration strategy and data on wheat simulation with the DSSAT‐Nwheat model}, journal = {Agronomy Journal}, year = {2025}, volume = {117}, number = {4}, pages = {--}, }
local.title.fullImpact of calibration strategy and data on wheat simulation with the DSSAT‐Nwheat model

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