Adisseo has a strategic partnership with Syngenta, focused on mycotoxin risk prediction in wheat and corn, now integrated into the MycoMan platform.
The partnership combines Syngenta’s field expertise and predictive modeling with Adisseo’s expertise in mycotoxin risk management and animal nutrition. Our goal is to help customers anticipate mycotoxin risks before harvest and take preventive actions.
Mycotoxins develop before harvest – your response should too. Discover how Syngenta’s predictive model, integrated into Adisseo’s MycoMan platform, helps you anticipate and manage DON risk in wheat across Europe and North America.
Adisseo and Syngenta have joined forces to bring you the most advanced predictive model for mycotoxin contamination in wheat. Built on 20 years of data and field expertise, this tool goes beyond weather forecasts. It integrates agronomic practices, crop data, and machine learning to predict the risk of DON contamination before harvest.
Integrated into MycoMan, Adisseo’s digital platform for mycotoxin risk management, the model allows you to visualize wheat contamination risk on a dynamic map and take proactive measures.
DON, ZEA, FUM... Before they hit your feed, we help you see them coming. Discover the predictive model now available in MycoMan for corn across Europe and North America.
Each harvest season brings new challenges — and mycotoxins are among the most costly and invisible threats. Thanks to a strategic partnership between Adisseo and Syngenta, corn producers and feed professionals now have access to a predictive model for DON, fumonisins and zearalenone, backed by two decades of real-world data.
Accessible through the MycoMan platform, this tool allows you to:
The reports provide an preview of DON (Deoxynivalenol) and ZEA (Zearalenone) contamination levels in Corn and Wheat.
Each country (e.g. Germany, Italy, Ukraine) is presented in three slides, which include:
To deliver a clear, updated risk assessment that supports nutritionists, formulators, purchasers, and quality managers in adjusting raw material sourcing, feed formulation, or control plans accordingly.
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