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Artigo de periodico
Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model (2021)
Dias, Henrique Boriolo ; Sentelhas, Paulo Cesar ; Inman-Bamber, Geoff; Everingham, Yvette
Fonte: Industrial Crops and Products. Unidade: ESALQ
Assuntos: CANA-DE-AÇÚCAR, MUDANÇA CLIMÁTICA, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIAS, Henrique Boriolo et al. Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model. Industrial Crops and Products, v. 171, p. art. 113918 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.indcrop.2021.113918. Acesso em: 10 nov. 2025.
APA
Dias, H. B., Sentelhas, P. C., Inman-Bamber, G., & Everingham, Y. (2021). Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model. Industrial Crops and Products, 171, art. 113918 1-12. doi:10.1016/j.indcrop.2021.113918
NLM
Dias HB, Sentelhas PC, Inman-Bamber G, Everingham Y. Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model [Internet]. Industrial Crops and Products. 2021 ; 171 art. 113918 1-12.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.indcrop.2021.113918
Vancouver
Dias HB, Sentelhas PC, Inman-Bamber G, Everingham Y. Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model [Internet]. Industrial Crops and Products. 2021 ; 171 art. 113918 1-12.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.indcrop.2021.113918
Parte de monografia/livro
Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production (2020)
Dias, Henrique Boriolo ; Inman-Bamber, Geoff
Fonte: Systems modeling. Unidade: ESALQ
Assuntos: AGRICULTURA SUSTENTÁVEL, CANA-DE-AÇÚCAR, INTERAÇÃO GENÓTIPO-AMBIENTE, MODELAGEM DE DADOS, MUDANÇA CLIMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIAS, Henrique Boriolo e INMAN-BAMBER, Geoff. Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production. Systems modeling. Tradução . Gateway East, Singapura: Springer Nature Singapore Pte Ltd., 2020. . Disponível em: https://doi.org/10.1007/978-981-15-4728-7. Acesso em: 10 nov. 2025.
APA
Dias, H. B., & Inman-Bamber, G. (2020). Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production. In Systems modeling. Gateway East, Singapura: Springer Nature Singapore Pte Ltd. doi:10.1007/978-981-15-4728-7
NLM
Dias HB, Inman-Bamber G. Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production [Internet]. In: Systems modeling. Gateway East, Singapura: Springer Nature Singapore Pte Ltd.; 2020. [citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/978-981-15-4728-7
Vancouver
Dias HB, Inman-Bamber G. Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production [Internet]. In: Systems modeling. Gateway East, Singapura: Springer Nature Singapore Pte Ltd.; 2020. [citado 2025 nov. 10 ] Available from: https://doi.org/10.1007/978-981-15-4728-7
Trabalho de evento
Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency (2020)
Dias, Henrique ; Sentelhas, Paulo Cesar ; Inman-Bamber, Geoff; Everingham, Yvette
Fonte: Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop modelling for risk and impact assessment. S5-P29. Nome do evento: International Crop Modelling Symposium - ICROPM. Unidade: ESALQ
Assuntos: CANA-DE-AÇÚCAR, MUDANÇA CLIMÁTICA, SIMULAÇÃO, TRANSPIRAÇÃO VEGETAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 nov. 2025.
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 2025 nov. 10 ] 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 2025 nov. 10 ] Available from: https://www.icropm2020.org/
Trabalho de evento
Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency (2020)
Dias, Henrique Boriolo ; Sentelhas, Paulo Cesar ; Inman-Bamber, Geoff; Everingham, Yvette
Fonte: Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop Modelling for Risk and Impact Assessment. Nome do evento: International Crop Modelling Symposium - ICROPM). Unidade: ESALQ
Assuntos: CANA-DE-AÇÚCAR, GÁS CARBÔNICO, MODELOS MATEMÁTICOS, SIMULAÇÃO, IMPACTOS AMBIENTAIS, MUDANÇA CLIMÁTICA, TRANSPIRAÇÃO VEGETAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 nov. 2025.
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 2025 nov. 10 ] 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 2025 nov. 10 ] Available from: https://www.icropm2020.org/
Tese (Doutorado)
Sugarcane variety trait modelling: evaluating and improving the APSIM-Sugar model for simulating crop performance under current and future climates across Brazil (2020)
Dias, Henrique Boriolo; Sentelhas, Paulo Cesar (Orientador)
Unidade: ESALQ
Assuntos: BIOMASSA, CANA-DE-AÇÚCAR, CRESCIMENTO VEGETAL, MUDANÇA CLIMÁTICA, RADIAÇÃO SOLAR E TERRESTRE, SIMULAÇÃO, VARIEDADES VEGETAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIAS, Henrique Boriolo. Sugarcane variety trait modelling: evaluating and improving the APSIM-Sugar model for simulating crop performance under current and future climates across Brazil. 2020. Tese (Doutorado) – Universidade de São Paulo, Piracicaba, 2020. Disponível em: https://www.teses.usp.br/teses/disponiveis/11/11152/tde-14082020-105124/. Acesso em: 10 nov. 2025.
APA
Dias, H. B. (2020). Sugarcane variety trait modelling: evaluating and improving the APSIM-Sugar model for simulating crop performance under current and future climates across Brazil (Tese (Doutorado). Universidade de São Paulo, Piracicaba. Recuperado de https://www.teses.usp.br/teses/disponiveis/11/11152/tde-14082020-105124/
NLM
Dias HB. Sugarcane variety trait modelling: evaluating and improving the APSIM-Sugar model for simulating crop performance under current and future climates across Brazil [Internet]. 2020 ;[citado 2025 nov. 10 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11152/tde-14082020-105124/
Vancouver
Dias HB. Sugarcane variety trait modelling: evaluating and improving the APSIM-Sugar model for simulating crop performance under current and future climates across Brazil [Internet]. 2020 ;[citado 2025 nov. 10 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11152/tde-14082020-105124/

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