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Developing and validating models for tree fruit

Author: Vincent Jones, Matt Jones, Tory Schmidt

Published: 2021

Summary: We developed models to predict pear psylla phenology and pesticide effects models to help determine optimal timings for management activities. The models are complete and have been provided to our collaborator (Dr. Louie Nottingham, WSU-TFREC) to help provide the information needed to make the models available to growers; this includes the longevity of different types of pesticides as well as stage specific activity needed. At the same time that we were collecting the data for pear psylla in the early spring, we collected data for models predicting the different bud stages of pear and an extensive collection of bloom timing. Those models will be available on DAS this coming year.

Keywords:

  • Apple
  • Modeling
  • Pear Psylla
  • Rosy apple aphid
  • Apple grain aphid
  • Pear
  • Technology
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