Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil (2021)
- Authors:
- USP affiliated authors: SENTELHAS, PAULO CESAR - ESALQ ; DIAS, HENRIQUE BORIOLO - ESALQ
- Unidade: ESALQ
- DOI: 10.1007/s00484-021-02145-6
- Subjects: CANA-DE-AÇÚCAR; COLHEITA; BALANÇO HÍDRICO; CHUVA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: International Journal of Biometeorology
- ISSN: 0020-7128
- Volume/Número/Paginação/Ano: online, May 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
DIAS, Henrique Boriolo e SENTELHAS, Paulo Cesar. Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil. International Journal of Biometeorology, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00484-021-02145-6. Acesso em: 23 abr. 2024. -
APA
Dias, H. B., & Sentelhas, P. C. (2021). Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil. International Journal of Biometeorology. doi:10.1007/s00484-021-02145-6 -
NLM
Dias HB, Sentelhas PC. Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil [Internet]. International Journal of Biometeorology. 2021 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s00484-021-02145-6 -
Vancouver
Dias HB, Sentelhas PC. Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil [Internet]. International Journal of Biometeorology. 2021 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s00484-021-02145-6 - High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances
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- Traits for canopy development and light interception by twenty-seven Brazilian sugarcane varieties
- Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model
- Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency
- Citrus postbloom fruit drop risk in Southern Brazil as influenced by different El Niño Southern Oscillation (ENSO) phases
- Sugarcane variety trait modelling: evaluating and improving the APSIM-Sugar model for simulating crop performance under current and future climates across Brazil
- Optimizing Sugarcane Planting Windows Using a Crop Simulation Model at the State Level
- 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
- Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production
Informações sobre o DOI: 10.1007/s00484-021-02145-6 (Fonte: oaDOI API)
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