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Developing Flexible Economic Thresholds for Pest Management Using Dynamic Programming

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

Abstract

The rice stink bug is a major pest of rice in Texas, causing quality related damage. The previous thresholds 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.

Suggested Citation

  • 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, Cambridge University Press, vol. 26(1), pages 134-147, July.
    • Handle: RePEc:cup:jagaec:v:26:y:1994:i:01:p:134-147_01
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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.
    2. Young, Douglas L. & Haantuba, Hyde H., 1998. "An Economic Threshold For Tick Control Considering Multiple Damages And Probability-Based Damage Functions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-11, December.

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