Sugarcane: contribution of process-based models for understanding and mitigating impacts of climate variability and change on production (2020)
- Authors:
- Autor USP: DIAS, HENRIQUE BORIOLO - ESALQ
- Unidade: ESALQ
- DOI: 10.1007/978-981-15-4728-7
- Subjects: AGRICULTURA SUSTENTÁVEL; CANA-DE-AÇÚCAR; INTERAÇÃO GENÓTIPO-AMBIENTE; MODELAGEM DE DADOS; MUDANÇA CLIMÁTICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Springer Nature Singapore Pte Ltd.
- Publisher place: Gateway East, Singapura
- Date published: 2020
- Source:
- Título do periódico: Systems modeling
- Volume/Número/Paginação/Ano: 433 p
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
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: 20 maio 2024. -
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 2024 maio 20 ] 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 2024 maio 20 ] Available from: https://doi.org/10.1007/978-981-15-4728-7 - 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
- 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
- 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
Informações sobre o DOI: 10.1007/978-981-15-4728-7 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
