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Integrating grower-driven and publically held data for improved plant protection.
R. GROVES (1), K. Frost (1), A. Huseth (2). (1) University of Wisconsin, Madison, WI, U.S.A.; (2) Cornell University, Ithaca, NY, U.S.A.

The seed potato industry has identified Potato virus Y (PVY) as its most serious disease problem. Publically held, regional and national databases have recently become available to provide information about which aphid species are moving into susceptible seed potato, when the flights occur, and the composition of adjoining landscapes. The overall goal of this research has been to determine the seasonal phenology of dispersing aphid vectors and describe how local landscape composition influences the abundance and species composition of aphids associated with PVY spread. Data have recently been compiled from the NCR Aphid Suction Trap Network from over a span of 8 years (2005-2013) and 45 locations comprising over 200 species of aphids. Suction trap information has been standardized for each year, location, and week using a random effects model. Tabulated Cropland Data Layer pixels within field management units will be estimated from the majority pixel type and classified by crop identity. Average distance estimates can then be analyzed used as regressors to determine which crop types correlate with PVY incidence. The expected outcomes are to develop aphid phenology models to accurately determine periods of elevated risk for transmission of PVY, and spatially-explicit tools to describe the influence of local and regional landscape structure on risk for transmission of PVY into susceptible seed potato crops.

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