Applications in forecasting deoxynivalenol in wheat using DONcast

A.W. Schaafsma; D.C. Hooker

Applications in forecasting deoxynivalenol in wheat using DONcast

In: The mycotoxin factbook

Authors:

A.W. Schaafsma

A.W. Schaafsma Ridgetown College, University of Guelph, Ridgetown, ON, Canada

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D.C. Hooker

D.C. Hooker Ridgetown College, University of Guelph, Ridgetown, ON, Canada

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Type:: Chapter

Pages:: 211–222

DOI:: https://doi.org/10.3920/9789086865871_013

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Forecasting deoxynivalenol is useful to help prevent entry of the toxin into the food chain and for growers to achieve a higher potential of profits with quality grain at harvest. Wheat fields under an array of agronomic practices were sampled for deoxynivalenol content at harvest across Ontario from 1996 to 2004. A robust prediction model was developed and commercialised for wheat under the name of DONcast. This model is delivered online. There is growing interest amongst producers to use this tool pre-harvest to make marketing decisions and for grain handlers to use the tool for grain sourcing, in addition to fungicide application decisions at heading. Validations of the model have been successful in 4 countries, including most recently France and Uruguay. It is well known that deoxynivalenol predictions are very sensitive to coincidental weather around heading, varietal susceptibility to Fusarium and deoxynivalenol accumulation, and to the management of previous crop residue. DONcast has successfully taken these factors into account, and we have demonstrated its robustness across varied environments.

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The mycotoxin factbook

E-Book ISBN:: 9789086865871

Publisher:: Wageningen Academic

Print Publication Date:: 10 Oct 2006

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- Life Sciences

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Applications in forecasting deoxynivalenol in wheat using DONcast

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The mycotoxin factbook

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