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Prediction Models and Improved Pre-Harvest Estimates of Deoxynivalenol

Objective

Develop disease and mycotoxin prediction models that help farmers and their advisors with the management of FHB.

More information

Approach: Develop a DON module for the current disease models that will help meet the immediate needs of the U.S. Wheat and Barley Industries; initiate the mechanistic modeling effort by investigating the influence of environment on the probability of infection and DON accumulation in a field environment; and improve the pre-harvest estimates of DON based on visual assessments of disease by examining the relationship between DON and wheat spikes with different levels of disease severity. <P>Combining existing data resources with new information collected in replicated field trials will allow initiation of a new mechanistic modeling effort that could possibly improve the accuracy of the disease/DON prediction models.

Investigators
Walker-Simmons, M. Kay
Institution
Kansas State University
USDA - Agricultural Research Service
Start date
2007
End date
2009
Project number
0500-00053-002-63G
Accession number
411899