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A field-specific web tool for the prediction of Fusarium head blight and deoxynivalenol content in Belgium

Author:
Landschoot, S., Waegeman, W., Audenaert, K., Van Damme, P., Vandepitte, J., De Baets, B., Haesaert, G.
Source:
Computers and electronics in agriculture 2013 v.93 pp. 140-148
ISSN:
0168-1699
Subject:
Fusarium, Fusarium head blight, animal and human health, decision making, deoxynivalenol, feed industry, foods, fungicides, growers, growing season, marketing, meteorological data, models, pesticide application, prediction, wheat, Belgium
Abstract:
Fusarium head blight is a worldwide problem in wheat growing areas. In addition to yield loss, Fusarium species can also synthesise mycotoxins and thus threaten animal and human health. Models for predicting Fusarium head blight and deoxynivalenol content in wheat provide farmers with a tool for preventing yield loss and mycotoxin contamination. Growers may use the predictions to underpin decision making on cultivation techniques and the application of fungicides. At the end of the growing season, the food and feed industry may use the predictions to make marketing decisions. Furthermore, the predictions are helpful to identify regions with a higher disease pressure and thus improve sampling efficiency. Based on the data of 3100 wheat samples from 18 locations throughout Belgium between 2002 and 2011, various predictive models were evaluated. The most accurate models were implemented in a web tool to provide growers with field-specific predictions of Fusarium head blight incidence and deoxynivalenol content. The predictions are based on the agronomic variables of a specific wheat field and weather data from the nearest weather station. During the growing season several predictions can be asked. The web tool provides a graphical representation of the predicted results together with an advice on management strategies and recommendations for fungicide application.
Agid:
575959