Source: Systems modeling. Unidade: ESALQ
Subjects: AGRICULTURA SUSTENTÁVEL, CANA-DE-AÇÚCAR, INTERAÇÃO GENÓTIPO-AMBIENTE, MODELAGEM DE DADOS, MUDANÇA CLIMÁTICA
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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: 18 nov. 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:10.1007/978-981-15-4728-7NLM
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 nov. 18 ] Available from: https://doi.org/10.1007/978-981-15-4728-7Vancouver
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 nov. 18 ] Available from: https://doi.org/10.1007/978-981-15-4728-7