Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1171196
Título: Implications 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.
Autoria: SILVA, E. H. F. M. da
HOOGENBOOM, G.
BOOTE, K. J.
CUADRA, S. V.
PORTER, C. H.
SCIVITTARO, W. B.
STEINMETZ, S.
CERRI, C. E. P.
Afiliação: EVANDRO 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.
Ano de publicação: 2025
Referência: Agricultural Water Management, v. 307, 109234, 2025.
Conteúdo: Rice (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.
NAL Thesaurus: Greenhouse gases
Methane
Water management
Palavras-chave: Gestão da água
DSSAT
Gases do efeito estufa
Emissão de metano
Modelagem
Crop modeling
ISSN: 0378-3774
Digital Object Identifier: https://doi.org/10.1016/j.agwat.2024.109234
Tipo do material: Artigo de periódico
Acesso: openAccess
Aparece nas coleções:Artigo em periódico indexado (CNPTIA)

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