Biomin develops mycotoxin prediction tool

Biomin developed a tool to predict the landscape of mycotoxin contamination in corn and wheat. The solution uses as a basis published academic models for these two crops, adapted for global use according to the validation of Biomin's extensive Worldwide Mycotoxin Survey, carried out more than a decade ago, and a new system that integrates global climates. With these processes, the prediction improves year after year, based on new research data.

“One of Biomin's commitments is to identify, with the greatest possible accuracy, the levels of mycotoxins in grains and feed, ensuring food safety and quality in the animal protein chain”, explains Tiago Birro, Biomin's Product Manager for Latin America. “This new technology exclusive to the company analyzes the data entered and calculates the approximate degree of mycotoxin contamination in the grains of the following harvest, helping to improve the reaction time between handling the food and reaching the animals’ feeder.” A Biomin mycotoxin prediction tool uses several parameters (effect of climate on the crop, the fungus, the biochemistry of mycotoxin production and the interaction between all these factors) of complex algorithms developed by the company's experts, including. With all this information, it outlines the expected contamination profile. “Our tool contains robust algorithms, updated hourly based on information obtained from 61 thousand meteorological stations around the world”, explains Birro. 

Available in Brazil and throughout Latin America, the Biomin mycotoxin prediction tool is essential to gain a competitive advantage in the market. Tiago Birro informs that the first results from the Latam region are expected in November, including information on the corn harvest to begin in January 2021 in Brazil and Argentina. Biomin's product manager reinforces that predictions are also updated according to weather forecasts, up to 90 days in advance. “We face drastic climate change. Consequently, mycotoxins also undergo changes in relation to type and incidence. Constant updating is essential for the program to work in the best way possible”, says the expert. A Biomin mycotoxin prediction tool analyzes the predicted risk of the following mycotoxins: fumonisins, aflatoxins, deoxynivalenol and zearalenone in corn, as well as deoxynivalenol and zearalenone in wheat.