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FUSPREDICT
DEVELOPMENT OF A PREDICTIVE MODEL FOR MYCOTOXIN GENERATION IN GRAIN
The aim of this project is to develop a predictive model to determine the development of Fusarium spp fungi (in stubble) and fusariosis of the ear of barley and the ear of maize, and to predict the generation of mycotoxins in grain, as well as the development of a prototype information system in the cloud that allows it to be hosted and exploited.
This dual objective is complemented by the identification and implementation of agronomic alternatives to assist in the prevention and control of fusarium disease.s.
Call for early processing, corresponding to the year 2022, of aid for public-private collaboration projects, of the State Plan for Scientific, Technical and Innovation Research 2021-2023, within the framework of the Recovery, Transformation and Resilience Plan.
Reference: CPP2022-009559
Execution period: 01/11/2023-31/10/2026
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