Assessing methane and nitrous oxide emissions in lowland rice-soybean cropping systems through crop modeling (2025)
- Authors:
- USP affiliated authors: CERRI, CARLOS EDUARDO PELLEGRINO - ESALQ ; SILVA, EVANDRO HENRÍQUE FIGUEIREDO MOURA DA - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.agsy.2025.104478
- Subjects: ARROZ; EFEITO ESTUFA; GASES; METANO; PRODUTIVIDADE; SOJA; SOLO HIDROMÓRFICO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Agricultural Systems
- ISSN: 0308-521X
- Volume/Número/Paginação/Ano: v. 230, art. 104478, p. 1-8, 2025
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SILVA, Evandro H. Figueiredo Moura da et al. Assessing methane and nitrous oxide emissions in lowland rice-soybean cropping systems through crop modeling. Agricultural Systems, v. 230, p. 1-8, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.agsy.2025.104478. Acesso em: 11 fev. 2026. -
APA
Silva, E. H. F. M. da, Hoogenboom, G., Boote, K. J., Scivittaro, W. B., Porter, C. H., Cuadra, S. V., et al. (2025). Assessing methane and nitrous oxide emissions in lowland rice-soybean cropping systems through crop modeling. Agricultural Systems, 230, 1-8. doi:10.1016/j.agsy.2025.104478 -
NLM
Silva EHFM da, Hoogenboom G, Boote KJ, Scivittaro WB, Porter CH, Cuadra SV, Steinmetz S, Cerri CEP. Assessing methane and nitrous oxide emissions in lowland rice-soybean cropping systems through crop modeling [Internet]. Agricultural Systems. 2025 ; 230 1-8.[citado 2026 fev. 11 ] Available from: https://doi.org/10.1016/j.agsy.2025.104478 -
Vancouver
Silva EHFM da, Hoogenboom G, Boote KJ, Scivittaro WB, Porter CH, Cuadra SV, Steinmetz S, Cerri CEP. Assessing methane and nitrous oxide emissions in lowland rice-soybean cropping systems through crop modeling [Internet]. Agricultural Systems. 2025 ; 230 1-8.[citado 2026 fev. 11 ] Available from: https://doi.org/10.1016/j.agsy.2025.104478 - 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
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Informações sobre o DOI: 10.1016/j.agsy.2025.104478 (Fonte: oaDOI API)
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