Prediction and warnings are important for growers to timely respond to treats and optimize the growth of crops. The MycoKey app was developed to aid mycotoxin risk mitigation by growers, grain collectors, governmental planners and policy makers. The MycoKey app predicts the amounts of the most important mycotoxins in winter wheat (DON) and grain maize (Aflatoxin B1 and Fumonisin) based on local weather data and predictive models. It provides direct links to the scientific articles describing the models in detail. Both access to the platform and the MycoKey app is free of charge and user data are private. Enlist at https://akkerweb.eu/en-gb/ and download the free MycoKey app. Growers can calculate the predicted amount of mycotoxins in their crops with local weather information and relevant agronomic measures such as ploughing or the level of plant resistance based on a list of cultivars. Grain collectors, governmental planners and policy makers have access to public databases including satellite data, and can calculate mycotoxin risks based on weather data and land use (if publicly available). Recalculation allows integration of management strategies in the risk model and calculations of "what if" scenarios. The risk analysis was performed for the mycotoxin DON in winter wheat and in 2019 and 2020 DON mycotoxin risks for winter wheat were low in the Belgium and the Netherlands. In contrast in 2021 conditions were more conducive for Fusarium and the risks for DON were much higher particular in the northern part of the Netherlands. The Mycokey app was used to create awareness and helped to initiate responses in the chain to mitigate mycotoxin risks in the Netherlands. The early warning was made possible by filling the gap between forecast and harvest time using historic weather available for the last 40 years. These historic data can also be applied to assess the impact of weather in climate change scenarios. The need for an integrated approach to mitigate mycotoxin risks in crop management systems will be discussed.
THE POWER OF PREDICTION, EARLY WARNING AND ICT SOLUTIONS TO MITIGATE MYCOTOXIN RISKS
PERRONE G;LOGRIECO A F;
2021-01-01
Abstract
Prediction and warnings are important for growers to timely respond to treats and optimize the growth of crops. The MycoKey app was developed to aid mycotoxin risk mitigation by growers, grain collectors, governmental planners and policy makers. The MycoKey app predicts the amounts of the most important mycotoxins in winter wheat (DON) and grain maize (Aflatoxin B1 and Fumonisin) based on local weather data and predictive models. It provides direct links to the scientific articles describing the models in detail. Both access to the platform and the MycoKey app is free of charge and user data are private. Enlist at https://akkerweb.eu/en-gb/ and download the free MycoKey app. Growers can calculate the predicted amount of mycotoxins in their crops with local weather information and relevant agronomic measures such as ploughing or the level of plant resistance based on a list of cultivars. Grain collectors, governmental planners and policy makers have access to public databases including satellite data, and can calculate mycotoxin risks based on weather data and land use (if publicly available). Recalculation allows integration of management strategies in the risk model and calculations of "what if" scenarios. The risk analysis was performed for the mycotoxin DON in winter wheat and in 2019 and 2020 DON mycotoxin risks for winter wheat were low in the Belgium and the Netherlands. In contrast in 2021 conditions were more conducive for Fusarium and the risks for DON were much higher particular in the northern part of the Netherlands. The Mycokey app was used to create awareness and helped to initiate responses in the chain to mitigate mycotoxin risks in the Netherlands. The early warning was made possible by filling the gap between forecast and harvest time using historic weather available for the last 40 years. These historic data can also be applied to assess the impact of weather in climate change scenarios. The need for an integrated approach to mitigate mycotoxin risks in crop management systems will be discussed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
