Advanced search
Start date

Practical approach of spectroradiometry on the spectral signature identification of Asian soybean rust and construction of prediction model

Grant number: 18/24869-0
Support type:Regular Research Grants
Duration: July 01, 2019 - June 30, 2021
Field of knowledge:Agronomical Sciences - Agronomy
Principal Investigator:Carlos Gilberto Raetano
Grantee:Carlos Gilberto Raetano
Home Institution: Faculdade de Ciências Agronômicas (FCA). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil
Assoc. researchers: Marcelo Giovanetti Canteri ; Matheus Mereb Negrisoli


Monitoring is the basis of a successful disease management, providing input for decision-making on the timing and need of control. The Asian soybean rust (SBR) is the most important disease of the crop and is mainly managed with fungicides at "scheduled" periods. There is a large gap regarding the disease monitoring techniques, making monitoring through remote sensing of the most promising. The objective of this study is to obtain correlation between SBR progress on soybean crop with the reflectance values of the crop under disease infestation conditions, in order to propose a prediction model and use it as a monitoring method for decision-making of chemical control. The research projects will be conducted between 2019 and 2021 at the School of Agronomy (FCA/UNESP), Botucatu, SP, in three experiments. In Experiment (1), data will be collected in the field for correlation of SBR monitoring, comparing values obtained in disease severity monitoring, based on the number of pustules cm-2, reflectance values in bands to be established and reading of chlorophyll fluorescence and quantum yield of photosystem II. In Experiment (2), vegetative indexes (VI) will be calculated based on the readings and modelling of the correlation data for determination of IV or bands more responsive to the disease. Finally, in Experiment (3), it will be conducted the application of the monitoring by spectroradiometry in the P. pachyrhizi management in the field, determining different moments of control and assessing the pathogen control efficacy as well as the quali-quantitative characteristics of the spraying. (AU)