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Improved NEWA Vegetable Models

dc.contributor.authorSeaman, Abby
dc.date.accessioned2016-03-01T19:12:30Z
dc.date.available2016-03-01T19:12:30Z
dc.date.issued2014
dc.description.abstractWeather based pest forecast models are important tools for IPM implementation. The Network for Environmental and Weather Applications (NEWA)provides forecasts for important pests of fruit and vegetables.  A 2007 survey (Carroll et al.) of farmers using NEWA showed that use of pest forecasts saved an average $19,500 in spray costs and prevented an average of $264,000 in crop losses each year.  The survey also found that vegetable growers comprised only 30% of users, a level we hope to increase through this project. We will update the NEWA vegetable models to improve the user interface and incorporate forecast weather.  We will also investigate new vegetable models that could be added to NEWA. To date, have updated the models for late blight, a serious pest of potato and tomato, the degree-day model for cabbage maggot, a pest of multiple crucifer crops, and are in the process of updating the onion disease and insect models. We have identified three new models to add in the next funding cycle.
dc.identifier.urihttps://hdl.handle.net/1813/42556
dc.language.isoen_US
dc.publisherNew York State IPM Program
dc.subjectAgricultural IPM
dc.subjectCole Crops
dc.subjectPotatoes
dc.subjectTomatoes
dc.subjectOnions
dc.subjectWeather Forecasting
dc.titleImproved NEWA Vegetable Models
dc.typereport

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