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; GÁS CARBÔNICO; MODELOS MATEMÁTICOS; SIMULAÇÃO; IMPACTOS AMBIENTAIS; MUDANÇA CLIMÁTICA; TRANSPIRAÇÃO VEGETAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Agropolis International; CIRAD
- Publisher place: Montpellier
- Date published: 2020
- Source:
- Conference titles: International Crop Modelling Symposium - ICROPM)
-
ABNT
DIAS, Henrique Boriolo 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: Agropolis International; CIRAD, 2020. Disponível em: https://www.icropm2020.org/. Acesso em: 16 abr. 2026. -
APA
Dias, H. B., 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. Montpellier: Agropolis International; CIRAD. Recuperado de https://www.icropm2020.org/ -
NLM
Dias HB, 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. 2020 ;[citado 2026 abr. 16 ] Available from: https://www.icropm2020.org/ -
Vancouver
Dias HB, 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. 2020 ;[citado 2026 abr. 16 ] 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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