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Intercomparison of sugarcane simulation models and use these in assessing the productivity and quality of the crop in rainfed and irrigated conditions

Grant number: 14/05173-3
Support type:Scholarships in Brazil - Master
Effective date (Start): June 01, 2014
Effective date (End): July 31, 2016
Field of knowledge:Agronomical Sciences - Agronomy - Agricultural Meteorology
Cooperation agreement: Coordination of Improvement of Higher Education Personnel (CAPES)
Principal researcher:Paulo Cesar Sentelhas
Grantee:Henrique Boriolo Dias
Home Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil


The expansion of the cultivation of sugarcane for locations with severe water stress has resulted in high climatic risk and may result low productivity, both of stems as sucrose. The irrigation can minimize such risks. In this sense, crop models simulation can serve, for example, as a tool to assess climate risk, yield gap, impact of irrigation on crop and determine strategies of irrigation in order to obtain high stems and sucrose yields per hectare. As there are many sugarcane simulation models, with different characteristics, it is necessary to evaluate which of them best for studies of type. Thus, the objectives of this project are: I) do a intercomparison the performance of different sugarcane simulation models and determine which one is better for agroclimatic studies, II) to verify the interannual variability of sugarcane yield and sucrose as well as yield gap and climate risk in different Brazilian localities, seeking to identify the possible causes of low productivity and propose management actions to mitigate them; III) determine the increments in stems and sucrose yield under different strategies of irrigation and; IV) analyze the effect of drying-off on maturation of sugarcane seeking to optimize the productivity and quality of stems. To achieve these goals, will be calibrated and validated four different sugarcane simulation models (APSIM-Sugarcane, DSSAT-CSM-CANEGRO, FAO Agroecological Zone Model and AquaCrop) with different degrees of complexity and one that presents the best performance, through statistical indicators of performance, will be used in the proposals evaluations. We expect to achieve results that can assist the sugarcane industry with the planning of the sugarcane crop and the use of irrigation in a rational way to optimize sugarcane production. (AU)

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Scientific publications (4)
(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)
DIAS, HENRIQUE BORIOLO; SENTELHAS, PAULO CESAR. Dimensioning the Impact of Irrigation on Sugarcane Yield in Brazil. SUGAR TECH, v. 21, n. 1, p. 29-37, FEB 2019. Web of Science Citations: 2.
DIAS, HENRIQUE BORIOLO; SENTELHAS, PAULO CESAR. Sugarcane yield gap analysis in Brazil - A multi-model approach for determining magnitudes and causes. Science of The Total Environment, v. 637, p. 1127-1136, OCT 1 2018. Web of Science Citations: 8.
DIAS, HENRIQUE BORIOLO; SENTELHAS, PAULO CESAR. Drying-Off Periods for Irrigated Sugarcane to Maximize Sucrose Yields Under Brazilian Conditions. IRRIGATION AND DRAINAGE, v. 67, n. 4, p. 527-537, OCT 2018. Web of Science Citations: 1.
DIAS, HENRIQUE BORIOLO; SENTELHAS, PAULO CESAR. Evaluation of three sugarcane simulation models and their ensemble for yield estimation in commercially managed fields. FIELD CROPS RESEARCH, v. 213, p. 174-185, NOV 2017. Web of Science Citations: 17.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
DIAS, Henrique Boriolo. Intercomparison of sugarcane simulation models and its use to evaluate yield gap and irrigation impacts in different Brazilian regions. 2016. Master's Dissertation - Universidade de São Paulo (USP). Escola Superior de Agricultura Luiz de Queiroz Piracicaba.

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