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Optimal Pesticide Application for Controlling the Boll Weevil on Cotton

Author

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  • H. Talpaz
  • G. L. Curry
  • P. J. H. Sharpe
  • D. W. DeMichele
  • R. E. Frisbie

Abstract

A simulation model of interaction between the boll weevil insect subsystem and the cotton plant subsystem is presented. Field experiments provide the basis for validation of the model. Pesticide control scheme is introduced, and optimal control is achieved by using a numerical nonlinear dynamic optimization technique. Results of sensitivity analysis with respect to price changes are provided. Optimal policy for a single producer calls for three applications. Timing is robust, but dosage levels are sensitive to price changes.

Suggested Citation

  • H. Talpaz & G. L. Curry & P. J. H. Sharpe & D. W. DeMichele & R. E. Frisbie, 1978. "Optimal Pesticide Application for Controlling the Boll Weevil on Cotton," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 469-475.
    • Handle: RePEc:oup:ajagec:v:60:y:1978:i:3:p:469-475.
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    Cited by:

    1. Pannell, David J, 1989. "A Model of Wheat Yield Response to Application of Diclofop-Methyl to Control Ryegrass (Lolium Rigidum)," Discussion Papers 232314, University of Western Australia, School of Agricultural and Resource Economics.
    2. Adamson, David, 2010. "Climate change, Irrigation and Pests: Examining Heliothis in the Murray Darling Basin," Risk and Sustainable Management Group Working Papers 149879, University of Queensland, School of Economics.
    3. Miranowski, John A., 1979. "Integrated Pest Management In Corn Rootworm Control: A Preliminary Economic Assessment," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 277613, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Azzam, Azzeddine & Baker, Maurice & Berry, Ivan & Campbell, John, 1995. "An exploratory bioeconomic model of pesticide use for controlling feedlot-cattle pests," Agricultural Systems, Elsevier, vol. 48(4), pages 503-513.
    5. Hoque, Ziaul & Farquharson, Robert J. & Dillon, Martin & Kauter, Greg, 2000. "An economic assessment of Insecticide Resistance Management strategies in the Australian Cotton Industry," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123662, Australian Agricultural and Resource Economics Society.
    6. Cobourn, Kelly M. & Goodhue, Rachael E. & Williams, Jeffrey C., 2009. "The Role of Harvest Timing in Pest Management: Grower Response to Infestation by the California Olive Fruit Fly," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49475, Agricultural and Applied Economics Association.
    7. Kazmierczak, Richard F., Jr., 1996. "Optimizing Complex Bioeconomic Simulations Using An Efficient Search Heuristic," DAE Research Reports 31661, Louisiana State University, Department of Agricultural Economics and Agribusiness.
    8. S. Pandey & R. K. Lindner & R. W. Medd, 1993. "Towards An Economic Framework For Evaluating Potential Benefits From Research Into Weed Control," Journal of Agricultural Economics, Wiley Blackwell, vol. 44(2), pages 322-334, May.
    9. Nordblom, Thomas L. & Medd, Richard W., 2000. "Whole Truth in Herbicide Labelling," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123711, Australian Agricultural and Resource Economics Society.

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