High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances (2021)
- Authors:
- USP affiliated authors: SENTELHAS, PAULO CESAR - ESALQ ; DIAS, HENRIQUE BORIOLO - ESALQ
- Unidade: ESALQ
- DOI: 10.1016/j.fcr.2021.108323
- Subjects: CANA-DE-AÇÚCAR; VARIEDADES VEGETAIS; INTERAÇÃO GENÓTIPO-AMBIENTE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Field Crops Research
- ISSN: 1872-6852
- Volume/Número/Paginação/Ano: v. 274, art. 108323, p. 1-13, 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
DIAS, Henrique Boriolo et al. High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances. Field Crops Research, v. 274, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.fcr.2021.108323. Acesso em: 20 maio 2024. -
APA
Dias, H. B., Inman-Bamber, G., Sentelhas, P. C., Everingham, Y., Bermejo, R., & Christodoulou, D. (2021). High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances. Field Crops Research, 274, 1-13. doi:10.1016/j.fcr.2021.108323 -
NLM
Dias HB, Inman-Bamber G, Sentelhas PC, Everingham Y, Bermejo R, Christodoulou D. High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances [Internet]. Field Crops Research. 2021 ; 274 1-13.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.fcr.2021.108323 -
Vancouver
Dias HB, Inman-Bamber G, Sentelhas PC, Everingham Y, Bermejo R, Christodoulou D. High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances [Internet]. Field Crops Research. 2021 ; 274 1-13.[citado 2024 maio 20 ] Available from: https://doi.org/10.1016/j.fcr.2021.108323 - 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
- 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: 10.1016/j.fcr.2021.108323 (Fonte: oaDOI API)
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