Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1171196
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dc.contributor.authorSILVA, E. H. F. M. da
dc.contributor.authorHOOGENBOOM, G.
dc.contributor.authorBOOTE, K. J.
dc.contributor.authorCUADRA, S. V.
dc.contributor.authorPORTER, C. H.
dc.contributor.authorSCIVITTARO, W. B.
dc.contributor.authorSTEINMETZ, S.
dc.contributor.authorCERRI, C. E. P.
dc.date.accessioned2025-01-06T15:47:10Z-
dc.date.available2025-01-06T15:47:10Z-
dc.date.created2025-01-06
dc.date.issued2025
dc.identifier.citationAgricultural Water Management, v. 307, 109234, 2025.
dc.identifier.issn0378-3774
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1171196-
dc.descriptionRice (Oryza sativa L.) is a staple food and plays a crucial role in the food security of many countries. However, rice cultivation is associated with significant methane (CH4) emissions, contributing to overall greenhouse gas emissions and, thus, climate change. In this context, process-based crop models are useful tools for understanding and predicting the complex interactions between crop production, environmental factors, and sustainability. The objective of this study was to evaluate the performance of the Cropping System Model (CSM)-CERES-Rice model and DSSAT-GHG module to predict daily methane emissions and rice grain yield for different irrigation practices in a subtropical environment. The study employed a comprehensive approach, including measurements of daily CH4 emissions, phenological stages, final aboveground biomass, and grain yield for rice cultivars BRS Pampa, BRS Pampeira, A705, and XP113 conducted over four consecutive crop seasons (2019–2023) and two irrigation systems: continuous flooding (CF) or alternate wetting and drying (AWD) in Capão do Leão, RS, Brazil.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectGestão da água
dc.subjectDSSAT
dc.subjectGases do efeito estufa
dc.subjectEmissão de metano
dc.subjectModelagem
dc.subjectCrop modeling
dc.titleImplications of water management on methane emissions and grain yield in paddy rice: a case study under subtropical conditions in Brazil using the CSM-CERES-Rice model.
dc.typeArtigo de periódico
dc.subject.nalthesaurusGreenhouse gases
dc.subject.nalthesaurusMethane
dc.subject.nalthesaurusWater management
riaa.ainfo.id1171196
riaa.ainfo.lastupdate2025-01-06
dc.identifier.doihttps://doi.org/10.1016/j.agwat.2024.109234
dc.contributor.institutionEVANDRO H. FIGUEIREDO MOURA DA SILVA, UNIVERSIDADE DE SÃO PAULO, UNIVERSITY OF FLORIDA; GERRIT HOOGENBOOM, UNIVERSITY OF FLORIDA; KENNETH J. BOOTE, UNIVERSITY OF FLORIDA; SANTIAGO VIANNA CUADRA, CNPTIA; CHERYL H. PORTER, UNIVERSITY OF FLORIDA; WALKYRIA BUENO SCIVITTARO, CPACT; SILVIO STEINMETZ, CPACT; CARLOS E. PELLEGRINO CERRI, UNIVERSIDADE DE SÃO PAULO.
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