Modelling the Effects of Weather Conditions on Cereal Grain Contamination with Deoxynivalenol in the Baltic Sea Region

Fusarium head blight (FHB) is one of the most serious diseases of small-grain cereals worldwide, resulting in yield reduction and an accumulation of the mycotoxin deoxynivalenol (DON) in grain. Weather conditions are known to have a significant effect on the ability of fusaria to infect cereals and...

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Bibliographic Details
Published in:	Toxins Vol. 13; no. 11; p. 737
Main Authors:	Marzec-Schmidt, Katarzyna, Börjesson, Thomas, Suproniene, Skaidre, Jędryczka, Małgorzata, Janavičienė, Sigita, Góral, Tomasz, Karlsson, Ida, Kochiieru, Yuliia, Ochodzki, Piotr, Mankevičienė, Audronė, Piikki, Kristin
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 20-10-2021 MDPI
Subjects:	Accumulation Agricultural Science Agronomic crops Avena - chemistry Avena - microbiology Baltic States Blight Cereals Climate change Contamination Deoxynivalenol deoxynivalenol (DON) prediction Edible Grain - chemistry Edible Grain - microbiology Flowering Food contamination & poisoning Food Contamination - analysis Fungicides Fusarium Fusarium head blight Fusarium head blight—FHB Grain Heat resistance High temperature Hordeum - chemistry Hordeum - microbiology Humidity Jordbruksvetenskap Lithuania machine learning Models, Theoretical Mycotoxins Oats Pathogens Performance enhancement Pesticides phenological development Poland Precipitation Relative humidity Resistance factors Ripening Seasons Senescence small grain cereals Spring (season) Spring wheat Sweden Toxins Trends Trichothecenes - analysis Trichothecenes - chemistry Triticum - chemistry Triticum - microbiology Variables Weather Wheat Winter wheat Poland Sweden Baltic States Lithuania Norway Europe Finland Baltic Sea Fusarium head blight—FHB small grain cereals mycotoxins phenological development Spearman’s rank correlation coefficient deoxynivalenol (DON) prediction machine learning
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