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- W1451328378 abstract "Under climate change scenarios, growing season patterns and variability may deviate from the expectations of even the most experienced growers. In such situations, early warning systems for plant disease can provide growers with disease risk information that has the potential to limit expenditures and the amount of chemical released to the environment. Crop specific synoptic forecasts were developed for 48 locations throughout the Great Lakes region of the United States. Because most synoptic forecast models are without a long archive record, it is important to assess spatial and temporal trends in accuracy when they are applied to plant disease. In this paper, regional patterns and variability of model results developed to predict potato late blight risk five days in advance are examined. Spatial patterns in accuracy and model usefulness are associated with patterns in climatic normals. Throughout the region, periods of greater potato late blight risk are associated with lower overall model accuracies; however, greater risk is also associated with a greater model skill when accuracy is compared with climatic normals." @default.
- W1451328378 created "2016-06-24" @default.
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- W1451328378 date "2008-01-01" @default.
- W1451328378 modified "2023-09-27" @default.
- W1451328378 title "Regional Variability in Crop Specific Synoptic Forecasts" @default.
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