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

Published: 01 April 2013 Publication History

Abstract

Highlights We studied the Fusarium head blight incidence and DON content during 2002-2011. We modelled Fusarium head blight incidence and DON content. The best models are embedded in a web tool. The web tool returns predictions for Fusarium head blight and DON content together with an appropriate advice. 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.

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  • (2018)Spatio-temporal prediction of crop disease severity for agricultural emergency management based on recurrent neural networksGeoinformatica10.1007/s10707-017-0314-122:2(363-381)Online publication date: 1-Apr-2018
  1. A field-specific web tool for the prediction of Fusarium head blight and deoxynivalenol content in Belgium

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    Published In

    cover image Computers and Electronics in Agriculture
    Computers and Electronics in Agriculture  Volume 93, Issue C
    April 2013
    230 pages

    Publisher

    Elsevier Science Publishers B. V.

    Netherlands

    Publication History

    Published: 01 April 2013

    Author Tags

    1. Deoxynivalenol
    2. Forecasting
    3. Fusarium head blight
    4. Web tool

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    • (2018)Spatio-temporal prediction of crop disease severity for agricultural emergency management based on recurrent neural networksGeoinformatica10.1007/s10707-017-0314-122:2(363-381)Online publication date: 1-Apr-2018

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