Mycotoxin risk: How to gain a few more precious weeks

Early prediction of the mycotoxin risk in grain, i.e., before the harvest, could be an important tool that will allow industry to prepare and react to possible feed contamination problems in a timely manner.


ost mycotoxins are produced by various mould species during the cultivation of grains. At the arrival point, the feed or animal produc- er receives fresh grain that already contains

various mycotoxins before it enters the storage container. The contamination of grain harvested in a single year can differ from the mycotoxin patterns and levels in previous years in the same climatic region. So buying newly harvest- ed grain is like a betting game for the producer of animal feeds who has to deal with unknown, ‘on-fire’ contamina- tion. However, early prediction of mycotoxin risk in grain could be extremely valuable.

Game-changing mycotoxin risk tool MycoMan Predict is a newly developed tool that integrates our MycoMan range of services, which are dedicated to iden- tifying the mycotoxin risk. In a word, thanks to a predictive equation, MycoMan Predict is able to provide a level of risk for three mycotoxins that are frequently found in maize: fu- monisins, deoxynivalenol and zearalenone, and one mycotox- in in wheat: deoxynivalenol. The levels of risk correspond to those outlined in the EU legislation. This tool identifies the mycotoxin risk with a high degree of accuracy before the grain is harvested. Animal feed producers can thus win extra time by preparing well and organising the harvest as well as the period following harvest.

Strong partner, reliable results The new tool arose from a partnership between Adisseo and

Buying newly harvested grain is like a betting game for the producer.

Syngenta. The collaboration with Syngenta, which started some months ago, is an excellent opportunity for the animal nutrition sector to benefit from their crop protection experi- ence. Work on mycotoxin modelling started 20 years ago in France. Grain collectors sent their analysis every year; a model based on the correlation between agronomic practices and weather factors has gradually been established, year after year. The incorporation of agronomic practices makes the model unique. The capability of Syngenta to gather data from grain collectors and work on big data is precious and innova- tive in the field of mycotoxin risk management pertaining to animal nutrition. Three variables are included in the model regarding agronomic practices. First, monoculture cropping increases the risk and rotation allows the fungi development cycle to be broken. Second, the varietal sensitivity of the crop is included and, finally, the tillage that takes place is included. Ploughing allows fungi development to be reduced by bury- ing the spores. The MycoMan Predict report provides an an- nual record of the climatic risk for each prediction, which al- lows users to compare the current year’s risk with pasts risk that they have already experienced. MycoMan Predict also furnishes precious data for feed millers to prepare their mycotoxin management during a season.

This service is only available in certain countries in Europe for now, but the model is under development for other parts of the world.

▶ ALL ABOUT FEED | Volume 28, No. 8, 2020 37


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