Crop Management Extension Group
Web-based Pest Prediction Models
Alfalfa Weevil Life Stage Predictions & Growing Degree Days
This map provides information on the most advanced life stage that is predicted for a given geographic location in the state. The model predicts when at least 50% of the population should have attained this stage of development.
European Corn Borer Early Warning System & Growing Degree Days
This Web site provides a map of the predicted lead European corn borer life stage for all locations in Pennsylvania. The intent of this information is to help pest management specialists and consultants anticipate key life stages to put out pheromone and blacklight traps and scout for the pest.
Fusarium Head Blight Risk Assessment Tool
The goal of this experimental predictive system is to help growers assess the risk of Fusarium head blight in their region. Major outbreaks of Fusarium head blight are associated with specific weather patterns prior to flowering of the wheat crop. Researchers at Penn State University, Ohio State University, Purdue University, North Dakota State University, and South Dakota State University have worked together to develop models that predict the risk probability of an epidemic with greater than 10% severity based on observed weather patterns.
Western Corn Rootworm Life Stages
This site provides information on the life stages of western corn rootworm predicted for a given geographic location. These maps show when at least 5% of the population has entered the most advanced life stage. Events in the life cycle of the northern corn rootworm population occurs slightly later (typically a few days).
USDA Soybean Rust Information Site
The site gives you the latest information on soybean rust including disease observations, management recommendations and scouting (where and when to look for rust). The information displayed on the maps is updated by individual state soybean specialists who make their interpretations and recommendations at the county level. For all maps, the counties will be updated and color coded as determined by the state soybean specialist. To assist the decision making process, the specialist uses output from disease forecast models to make their interpretations and recommendations.