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Funded Project |
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Funding Program:
Regional IPM Competitive Grants - Northeastern |
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Project Title:
Improved Timing of Control for the Grape Berry Moth (Paralobesia viteana) Using a Degree-Day Model |
Project Directors (PDs):
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Lead State: PA Lead Organization: Pennsylvania State University |
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Cooperating State(s):
New York |
| Extension Funding: $67,865 |
| Research Funding: $99,039 |
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Start Date: Aug-01-2010 End Date: Jul-31-2013 |
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Pests Involved: grape berry moths |
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Site/Commodity: grapes, vineyards |
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Area of Emphasis: modeling |
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Summary:
Wine and juice grape production in the northeastern US is centered in the lakeshore regions of Pennsylvania, and New York and in the New York Finger Lakes region. The most serious pest of viticulture in the northeast is the grape berry moth, Paralobesia viteana (GBM). In recent years, this insect has become more difficult for growers to control using the traditional risk assessment protocol of applying insecticides at ten days post bloom, early August and late August. This protocol, although widely used, was developed in a time when most insecticides were broad spectrum contact poisons and is calendar based rather than phenology based. We propose to test and operationalize a degree day model for GBM to enable better timing of insecticide applications, especially to enable the effective use of new, low risk compounds that must be ingested in order to cause pest mortality. Our goals are to compare the efficacy of phenology model based spray timings to the traditional risk assessment timings, to identify user friendly biofix(es) for starting the degree day accumulations within each growing season, and to deliver these new timings by taking advantage of the NEWA network of weather stations. Pennsylvania will join this network by purchasing and installing two weather stations and linking them into NEWA and New York will add two stations to their existing network. This project responds to a regional stakeholder-organized meeting that developed priorities for addressing insect management issues.
Objectives: 1. Research: Compare effectiveness of GBM control with insecticide when timing is based on grape berry moth risk assessment protocol verses a degree-day phenology model. 2. Research and Extension: Investigate use of alternative methods to determine first flight of female moths as a biofix for degree-day phenology model. 3. Extension: Incorporate the phenology model into a Cooperative Extension NEWA system for use by growers. Proposal USDA CRIS research data USDA CRIS extension data |
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Interim Report: Oct-14-2011 |
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Outcomes GBM population pressure in the initial season was extremely high in the first field season. As a consequence, some of the small plot trials were overwhelmed by GBM infestation. Nevertheless, the GBM phenology model did a very good job of identifying the onset of each generation of GBM. Work on establishment of a biofix is still ongoing. We are tracking the performance of model predictions based upon each of the candidate biofix dates to determine the optimum start date for degree day accumulation. The weather stations have been acquired and linked to the NEWA system, and the GBM phenology model has been incorporated into the NEWA system for growers to access. Numerous extension meetings, coffee pot meetings, and formal presentations have been made to growers regarding the use of the NEWA system, the population dynamics of GBM, and the ongoing effort to accurately identify an accurate biofix date. |
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Impacts Grape growers and extension educators throughout the region have been seeking a new method to better time GBM management decisions, especially for the second and third generations. A temperature based phenology model will represent a major improvement over the calendar-based approach currently being employed that will lead to more cost efficient, less wasteful, and more efficacious use of insecticides for GBM control. Grape growers will transition from the remaining broad spectrum insecticides to targeted, and less environmentally damaging compounds through the adoption of this more accurate method for calculating spray timings. Reduction in the use of broad spectrum compounds will reduce grower/applicator risk, non-target impacts, and issues associated with pesticide residues and human health. Incorporation of the GBM Phenology Model into a grower accessible decision support system will enhance the ability for growers to accurately time their control efforts, and to forecast the potential for damaging third and fourth generations. The phenology model will be incorporated into a regional system of weather stations accessible via the internet. Growers will be prompted to indicate the appropriate biofix to start degree day accumulation and the temperature based model will assess the current state of GBM population development using daily max/min temperature data and a projection of GBM phenology for the near future is also provided based upon predicted daily temperatures. This ability to forecast GBM population phenology is key to the successful management of this key pest of grapes. This project will contribute to the National Roadmap for IPM including; 1) Improve economic benefits related to the adoption of IPM practices. This project will test new approaches that aim to reduce grower reliance on broad-spectrum insecticides, 2) reduce potential human health risks from pests and the use of IPM practices. Our goal to decrease reliance on FQPA-targeted pesticides will reduce risk of worker exposure and residues in food, and 3) minimize adverse environmental risks from pests and the use of IPM practices. Increased adoption of reduced-risk management tactics, through the research, demonstration, and training objectives in this project will help reduce the use of pest management tools with potentially adverse environmental effects. |
Report Appendices
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