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Decision Support System for Soybean Rust (Phakopsora pachyrhizi) Management using QnD

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  • Kiker, Greg
  • Ranjan, Ram

Abstract

The objective of this project is to design a decision support system for soybean rust management using gaming software that incorporates farmer's decision making in the face of risks from soybean rust. Learning from past actions and neighbor's actions are also incorporated. Farmers observe rust outbreak in the current and past periods and decide over how much of land to allocate between soybean, corn and other crops. This decision is influenced by maximization of expected profits criterion which entails crop rotation choices that are based upon perceived risks, yield drags and input costs from altering optimum rotation patterns. Adoption of new technology in terms of selecting better rust management practices is also analyzed in an adaptive management framework. The software meets the need of guiding policy formulation besides training stakeholders in making economically sound choices in the absence of empirical data over pest infestation.

Suggested Citation

  • Kiker, Greg & Ranjan, Ram, 2006. "Decision Support System for Soybean Rust (Phakopsora pachyrhizi) Management using QnD," 2006 Annual meeting, July 23-26, Long Beach, CA 21248, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea06:21248
    DOI: 10.22004/ag.econ.21248
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    File URL: https://ageconsearch.umn.edu/record/21248/files/sp06ki03.pdf
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    References listed on IDEAS

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    1. Roberts, Michael J. & Schimmelpfennig, David E. & Ashley, Elizabeth & Livingston, Michael J. & Ash, Mark S. & Vasavada, Utpal, 2006. "The Value of Plant Disease Early-Warning Systems: A Case Study of USDA's Soybean Rust Coordinated Framework," Economic Research Report 7208, United States Department of Agriculture, Economic Research Service.
    2. Kim, C.S. & Schaible, Glenn D. & Garrett, Lynn & Lubowski, Ruben N. & Lee, Donna J., 2006. "Biological Invasions: The Case of Soybean Aphid Infestation," 2006 Annual meeting, July 23-26, Long Beach, CA 21163, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Lee, Donna J. & Kim, C.S. & Schaible, Glenn D., 2006. "Estimating the Cost of Invasive Species on U.S. Agriculture: The U.S. Soybean Market," 2006 Annual meeting, July 23-26, Long Beach, CA 21113, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Teigen, Lloyd D. & Thomas, Milton, Jr., 1995. "Weather and Yield, 1950-94: Relationships, Distributions, and Data," Staff Reports 278796, United States Department of Agriculture, Economic Research Service.
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