Modeling sugarcane development and growth within ECOSMOS .biophysical model.

• Autor(a) principal: COLMANETTI, M. A. A.
• Data de Publicação: 2024
• Outros Autores: CUADRA, S. V., LAMPARELLI, R. A. C., CABRAL, O. M. R., VICTORIA, D. de C., MONTEIRO, J. E. B. de A., FREITAS, H. C. de, GALDOS, M. V., MARAFON, A. C., ANDRADE JUNIOR, A. S. de, SILVA, S. D. dos A. e, BUFON, V. B., HERNANDES, T. A. D., MAIRE, G. LE
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
• Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1160511
• topic: Modelagem baseada em processos; ECOSMOS; Cana de Açúcar

Sugarcane plays an important role in electricity and sugar production and is a viable biofuel. Developing and optimizing a mechanism that can predict crop growth and yield at different spatiotemporal scales can promote the understanding of the effects of cultivation on the ecosystem, while providing options for optimizing management measures and improving the operational procedures of sugarcane growers. The main objective of this study is to integrate the sugarcane module into the ECOSystem MOdel Simulator (ECOSMOS) model and calibrate a parameter set for sugarcane genotypes groups (using different datasets); the model supports datasets that vary in complexity (from flux tower experiments to operational plots), while accounting for high genotype-byenvironment-by-management (GxExM) variability.