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Developing Flexible Economic Thresholds For Pest Management Using Dynamic Programming


  • Harper, Jayson K.
  • Mjelde, James W.
  • Rister, M. Edward
  • Way, Michael O.
  • Drees, Bastiaan M.


The rice stink bug is a major pest of rice in Texas, causing quality related damage. The previous threshold used for assisting in rice stink bug spray decisions lacked flexibility in economic and production decision variables and neglected the dynamics of the pest population. Using stochastic dynamic programming, flexible economic thresholds for the rice stink bug were generated. The new thresholds offer several advantages over the old, static thresholds, including increased net returns, incorporation of pest dynamics, user flexibility, ease of implementation, and a systematic process for updating.

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  • Harper, Jayson K. & Mjelde, James W. & Rister, M. Edward & Way, Michael O. & Drees, Bastiaan M., 1994. "Developing Flexible Economic Thresholds For Pest Management Using Dynamic Programming," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 26(1), pages 1-14, July.
  • Handle: RePEc:ags:joaaec:15411
    DOI: 10.22004/ag.econ.15411

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    References listed on IDEAS

    1. Kennedy, John O.S., 1981. "Applications of Dynamic Programming to Agriculture, Forestry and Fisheries: Review and Prognosis," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 49(03), pages 1-33, December.
    2. Brorsen, B. Wade & Grant, Warren R. & Rister, M. Edward, 1988. "Some Effects of Rice Quality on Rough Rice Prices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 20(1), pages 131-140, July.
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    Cited by:

    1. Zhang, Wei & Swinton, Scott M., 2009. "Incorporating natural enemies in an economic threshold for dynamically optimal pest management," Ecological Modelling, Elsevier, vol. 220(9), pages 1315-1324.

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