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MaryBlyt
is predictive program for fire blight in apple and pear. It was
developed by Paul Steiner and Gary Lightner at the University of
Maryland, and has been proven to be effective in various regions
of the US, including the Midwest. The system uses weather conditions
and growth stage to predict likely incidences of four phases of
fire blight.
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MaryBlyt
uses the following weather measurements to predict fire blight infections:
- Date
- Phenological
Bud Stage (PH): dormant, silver tip, green tip, first bloom, petal
fall, tight cluster, pink, full bloom, secondary bloom
- Minimum
(MIN) and Maximum (MAX) Temperature
- Wetness
(WET): rain, dew, heavy fog, heavy spray
- Trauma
(T): noted when a trauma event has occurred
- Spray
(S): to denote when the orchard has been sprayed with an antibiotic
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| MaryBlyt
software and necessary weather measurement equipment can be purchased
from Gemplers (Link). |
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