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Developing trait parameters in the APSIM-Sugar model for Brazilian sugarcane varieties and their use to optimize the genotype x environment x management interaction for yield and quality

Grant number: 17/24424-5
Support type:Scholarships abroad - Research Internship - Doctorate
Effective date (Start): April 01, 2018
Effective date (End): January 31, 2019
Field of knowledge:Agronomical Sciences - Agronomy - Agricultural Meteorology
Principal researcher:Paulo Cesar Sentelhas
Grantee:Henrique Boriolo Dias
Supervisor abroad: Yvette Everingham
Home Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
Research place: James Cook University, Townsville (JCU Townsville), Australia  
Associated to the scholarship:16/11170-2 - Multi-model approach to sugarcane yield forecasting and assessment of crop performance under current and future climate conditions, BP.DR

Abstract

The sugarcane production system is very complex with large spatial and temporal variations in sucrose content and cane yield across environments and varieties. It makes crop simulation models important tools for planning and decision making by growers and industry. Since new varieties have been released and sucrose dynamics remain a challenge to be simulated, this project has two main objectives. Firstly, develop parameters for physiological traits of widely grown Brazilian varieties to allow for studies on the genotype x environment x management interaction using the APSIM-Sugar model. Second, develop algorithms for partitioning of dry matter to sucrose and hence improve the capability of the APSIM-Sugar model and other models to simulate the accumulation of sucrose. High quality data with intensive crop measurements for six varieties in two locations will be used for calibrating and validating new features not yet available and sucrose models. For other varieties, with less intensive data, the parameters will be calibrated by Bayesian techniques and then validated with independent data. Better modelling of genotype x environment x management interaction would allow several important studies for sugarcane industry, such as optimization of variety x planting x harvesting x crop age interaction for stalk yield and quality in several sugarcane-growing regions under rainfed and irrigated conditions

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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)
DIAS, HENRIQUE BORIOLO; INMAN-BAMBER, GEOFF; SENTELHAS, PAULO CESAR; EVERINGHAM, YVETTE; BERMEJO, RODRIGO; CHRISTODOULOU, DIOMEDES. High-yielding sugarcane in tropical Brazil - Integrating field experimentation and modelling approach for assessing variety performances. FIELD CROPS RESEARCH, v. 274, DEC 1 2021. Web of Science Citations: 0.
DIAS, HENRIQUE BORIOLO; INMAN-BAMBER, GEOFF; EVERINGHAM, YVETTE; SENTELHAS, PAULO CESAR; BERMEJO, RODRIGO; CHRISTODOULOU, DIOMEDES. Traits for canopy development and light interception by twenty-seven Brazilian sugarcane varieties. FIELD CROPS RESEARCH, v. 249, APR 1 2020. Web of Science Citations: 0.
DIAS, HENRIQUE BORIOLO; INMAN-BAMBER, GEOFF; BERMEJO, RODRIGO; SENTELHAS, PAULO CESAR; CHRISTODOULOU, DIOMEDES. New APSIM-Sugar features and parameters required to account for high sugarcane yields in tropical environments. FIELD CROPS RESEARCH, v. 235, p. 38-53, APR 1 2019. Web of Science Citations: 2.

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