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Funded Project |
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Funding Program:
Integrated Pest Management Competitive Grants Program |
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Project Title:
A model to predict duration of soil solarization for disinfesting nursery soils contaminated by Phytophthora spp. |
Project Directors (PDs):
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Lead State: OR Lead Organization: Oregon State Univeristy |
| Undesignated Funding: $30,000 |
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Start Date: Mar-02-2015 End Date: Feb-29-2016 |
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Pests Involved: Phytophthora spp. |
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Site/Commodity: Nursery |
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Area of Emphasis: soil solarization |
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Summary:
Phytophthora species are among the most important soilborne plant diseases affecting nursery crops, a $1.45 billion industry in WA, OR and CA. Phytophthora spp. survive in the upper layers of soil where they may serve as a source of inoculum for subsequent crops. Soil fumigation and fungicides are not feasible for decontaminating soil, but soil solarization using new types of plastic film has been demonstrated to be very effective, even in the Pacific Northwest. Novel strategies are needed to disinfest soil of soilborne plant pathogens. A new model predicting thermotolerance of several Phytophthora species has been constructed and validated using temperature data from two years of field trials in CA, OR, and WA, and results of controlled experiments in the lab. We propose to adapt, implement, and support a web-based version of this predictive model that will enable nursery growers to determine the feasibility and length of time necessary to disinfest soil with solarization. The model will be added to an existing W-IPM Centers-supported IPM decision support system, at http://uspest.org/wea. The model will be simple in that nursery managers and other users need only input a location and start date. Model use will be tracked and end-user feedback solicited by a beta-test group to make successive improvements over time for maximum effectiveness.
Objectives: 1. Develop, implement, and verify a web-based version of the model for predicting the duration of soil solarization required to kill soilborne Phytophthora spp. in container nurseries in CA, OR, and WA 2. Provide extension support, obtain feedback, improve, and support the online model for predicting soil solarization requirements in CA, OR and WA Because this model has been developed to support needs at the behest of key nursery industry representatives, works quite well as a stand alone tool, and will be added as a module in a proven web decision support system infrastructure, we expect a high probability of success in achieving these objectives, and anticipate that the system can grow and adapt to serve a much wider range of IPM needs in the future. |
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