NOTE: The current version of the Oklahoma Watermelon
Anthracnose Model is experimental, but is being made available
for evaluation purposes. Output of the current model should
be interpreted strictly as a rough guide for scheduling fungicide
applications. Additional research is underway to further refine
the model to improve its performance under real-world conditions. |
The Oklahoma Watermelon Anthracnose Model is a weather-based management
tool which can be used to schedule fungicide applications for watermelon
anthracnose . It was developed by Oklahoma State University (OSU)
plant pathologists and based on field studies conducted at a number
of sites in Oklahoma during 1992-1997. The Model is based on the
accumulation of "infection hours", periods during which temperature
and humidity conditions are favorable for disease development. Using
weather data from a nearby Oklahoma
Mesonet station, the Model calculates the number of infection
hours which have occurred since the date of the last fungicide application,
if it has occurred, or since the first flowering date of the the
male watermelon flowers. If the number equals or exceeds 80 hours,
the Model recommends a fungicide application.
The Oklahoma Watermelon Anthracnose Model operates from May 1
through October 31. It is updated daily around 6 a.m. CDT so that
the latest results should be available by 6:30 a.m. each day.
All customers are strongly urged to read the Model
Description for a greater understanding of the Model and for
further instructions on how to utilize the spray advisory. To utilize
the Model, please go to the Site-Specific
Interactive Model section and follow the instructions. You will
need to enter either the date (if available yet) of first flowering
of male watermelon flowers or the date (if available) of your last
fungicide application.
DISCLAIMER
As with any pest management model, the Oklahoma Watermelon Anthracnose
Model is to be regarded as only a tool in making fungicide application
decisions. It is not intended to replace the best judgment of the
grower in making such decisions.
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