The value of plant disease early-warning systems

a case study of USDA's soybean rust coordinated framework

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Michael J. Roberts ... [et al. ...
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Last edited by laurenbr1
July 14, 2024 | History

The value of plant disease early-warning systems

a case study of USDA's soybean rust coordinated framework

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

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Publish Date
Language
English
Pages
38

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Book Details


Edition Notes

"Early-warning systems for plant diseases are valuable when the systems provide timely forecasts that farmers can use to inform their pest management decisions. To evaluate the value of the systems, this study examines, as a case study, USDA's coordinated framework for soybean rust surveillance, reporting, prediction, and management, which was developed before the 2005 growing season. The framework's linchpin is a website that provides real-time, county-level information on the spread of the disease. The study assesses the value of the information tool to farmers and factors that influence that value. The information's value depends most heavily on farmers' perceptions of the forecast's accuracy. The study finds that the framework's information is valuable to farmers even in a year with a low rust infection like that of 2005. We estimate that the information provided by the framework increased U.S. soybean producers' profits by a total of $11-$299 million in 2005, or between 16 cents and $4.12 per acre, depending on the quality of information and other factors. The reported cost of the framework was between $2.6 million and almost $5 million in 2005." (p.i)

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Published in
Washington, D.C, 2006
Series
Economic research report -- 18.

The Physical Object

Pagination
v, 38 p. ;
Number of pages
38

ID Numbers

Open Library
OL16135804M

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
July 14, 2024 Edited by laurenbr1 diff michael j roberts
May 5, 2011 Edited by WorkBot add work to edition
September 22, 2008 Created by ImportBot Imported from Oregon Libraries MARC record