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Improving the simulation of the sugarcane crop based on a combined agro-hydrological model

Grant number: 15/16214-5
Support type:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): January 12, 2016
Effective date (End): October 12, 2016
Field of knowledge:Agronomical Sciences - Agronomy - Agricultural Meteorology
Principal Investigator:Fabio Ricardo Marin
Grantee:Murilo dos Santos Vianna
Supervisor abroad: Klaas Metselaar
Home Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
Local de pesquisa : Wageningen University, Netherlands  
Associated to the scholarship:14/05887-6 - Development, enhancement, calibration and evaluation of a process-based model for Brazilian sugarcane, BP.DR

Abstract

Sugarcane is a crop of major social, economic and environmental importance for Brazil. In order to meet the increasing demand for sugar and ethanol, sugarcane areas have been expanding strongly over the last decade reaching areas with adverse soil and climatic conditions. The analysis of sugarcane production in these marginal areas for decision support and planning is possible using dynamic process based crop models. This project aims to couple a sugarcane process-based crop model with the soil water balance provided by SWAP model, and improve the canopy processes simulation by using a plant architecture approach. Several experimental data of sugarcane growing and developing will support the model calibration and evaluation of model performance. This approach is expected to improve the simulation of soil components for sugarcane crop leading to more detailed yield predictions.

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
VIANNA, MURILO DOS SANTOS; PINTO NASSIF, DANIEL SILVEIRA; CARVALHO, KASSIO DOS SANTOS; MARIN, FABIO RICARDO. Modelling the trash blanket effect on sugarcane growth and water use. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 172, MAY 2020. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.