Optimizing Sugarcane Planting Windows Using a Crop Simulation Model at the State Level (2021)
- Authors:
- Autor USP: DIAS, HENRIQUE BORIOLO - ESALQ
- Unidade: ESALQ
- DOI: 10.1007/s42106-021-00134-8
- Subjects: CANA-DE-AÇÚCAR; COLHEITA; PLANTIO; SAFRA; SOLOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Plant Production
- ISSN: 1735-6814
- Volume/Número/Paginação/Ano: In press, February 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
PAIXÃO, Jéssica Sousa et al. Optimizing Sugarcane Planting Windows Using a Crop Simulation Model at the State Level. International Journal of Plant Production, 2021Tradução . . Disponível em: https://doi.org/10.1007/s42106-021-00134-8. Acesso em: 11 jan. 2026. -
APA
Paixão, J. S., Casaroli, D., Anjos, J. C. R. dos, Alves Júnior, J., Evangelista, A. W. P., Dias, H. B., & Battisti, R. (2021). Optimizing Sugarcane Planting Windows Using a Crop Simulation Model at the State Level. International Journal of Plant Production. doi:10.1007/s42106-021-00134-8 -
NLM
Paixão JS, Casaroli D, Anjos JCR dos, Alves Júnior J, Evangelista AWP, Dias HB, Battisti R. Optimizing Sugarcane Planting Windows Using a Crop Simulation Model at the State Level [Internet]. International Journal of Plant Production. 2021 ;[citado 2026 jan. 11 ] Available from: https://doi.org/10.1007/s42106-021-00134-8 -
Vancouver
Paixão JS, Casaroli D, Anjos JCR dos, Alves Júnior J, Evangelista AWP, Dias HB, Battisti R. Optimizing Sugarcane Planting Windows Using a Crop Simulation Model at the State Level [Internet]. International Journal of Plant Production. 2021 ;[citado 2026 jan. 11 ] Available from: https://doi.org/10.1007/s42106-021-00134-8 - Intercomparação de modelos de simulação da cana-de-açúcar e seu uso na avaliação da quebra de produtividade e dos impactos da irrigação em diferentes regiões do Brasil
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- High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances
- Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency
- Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil
- Citrus postbloom fruit drop risk in Southern Brazil as influenced by different El Niño Southern Oscillation (ENSO) phases
- Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model
- Traits for canopy development and light interception by twenty-seven Brazilian sugarcane varieties
Informações sobre o DOI: 10.1007/s42106-021-00134-8 (Fonte: oaDOI API)
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