Computer model helps with early prediction of mycotoxins in grain

摘要

Together with a number of European partners, RIKILT Wageningen University & Research is developing an electronic toolbox that can be used to predict mycotoxin contamination in grain at an early stage. Climate change will likely result in increased contamination of grain with mycotoxins (toxins from fungi). Early prediction of the growth of these fungi can help farmers make effective choices regarding the use of fungicides, the best harvest time and other aspects. This strategy can reduce the risk of crop failure and help to prevent contamination of food and feed with mycotoxins.