Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency (2020)
- Authors:
- USP affiliated authors: SENTELHAS, PAULO CESAR - ESALQ ; DIAS, HENRIQUE BORIOLO - ESALQ
- Unidade: ESALQ
- Subjects: CANA-DE-AÇÚCAR; MUDANÇA CLIMÁTICA; SIMULAÇÃO; TRANSPIRAÇÃO VEGETAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: CIRAD
- Publisher place: Montpellier
- Date published: 2020
- Source:
- Conference titles: International Crop Modelling Symposium - ICROPM
-
ABNT
DIAS, Henrique et al. Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency. 2020, Anais.. Montpellier: CIRAD, 2020. Disponível em: https://www.icropm2020.org/. Acesso em: 01 out. 2024. -
APA
Dias, H., Sentelhas, P. C., Inman-Bamber, G., & Everingham, Y. (2020). Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency. In Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop modelling for risk and impact assessment. S5-P29. Montpellier: CIRAD. Recuperado de https://www.icropm2020.org/ -
NLM
Dias H, Sentelhas PC, Inman-Bamber G, Everingham Y. Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency [Internet]. Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop modelling for risk and impact assessment. S5-P29. 2020 ;[citado 2024 out. 01 ] Available from: https://www.icropm2020.org/ -
Vancouver
Dias H, Sentelhas PC, Inman-Bamber G, Everingham Y. Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency [Internet]. Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop modelling for risk and impact assessment. S5-P29. 2020 ;[citado 2024 out. 01 ] Available from: https://www.icropm2020.org/ - High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances
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- Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model
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- 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
- Produção e qualidade de gérbera em ambientes protegidos com diferentes sistemas de cobertura
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