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Computer model helps predict mycotoxins in grain

Early prediction of mycotoxin growth can help farmers make effective choices regarding crop management.

RIKILT Wageningen University & Research in the Netherlands, together with a number of European partners, is developing an electronic toolbox that can be used to predict mycotoxin contamination in grains 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 aspe

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