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An Optimal Control Model For Integrated Weed Management Under Herbicide Resistance

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  • Gorddard, Russell J.
  • Pannell, David J.
  • Hertzler, Greg

Abstract

The presence of weeds which have developed resistance to chemical herbicides is a problem of rapidly growing importance in Australian agriculture. We present an optimal control model of herbicide resistance development in ryegrass, the weed for which resistance is most commonly reported. The model is used to select the optimal combination of chemical and non-chemical control measures taking account of the trade off between short term profits and the long term level of herbicide resistance. Results indicate that given the threat of resistance there are benefits from integrating a combination of chemical and non-chemical control measures. The optimal strategy is found to include a declining herbicide dosage as resistance develops, with compensatory increases in the level of non-chemical control.

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File URL: http://purl.umn.edu/22858
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Bibliographic Info

Article provided by Australian Agricultural and Resource Economics Society in its journal Australian Journal of Agricultural Economics.

Volume (Year): 39 (1995)
Issue (Month): 01 (April)
Pages:

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Handle: RePEc:ags:ajaeau:22858

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Keywords: Research and Development/Tech Change/Emerging Technologies;

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  1. Regev, Uri & Shalit, Haim & Gutierrez, A. P., 1983. "On the optimal allocation of pesticides with increasing resistance: The case of alfalfa weevil," Journal of Environmental Economics and Management, Elsevier, vol. 10(1), pages 86-100, March.
  2. Pannell, David J., 1990. "An Economic Response Model Of Herbicide Application For Weed Control," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 34(03), December.
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Citations

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Cited by:
  1. Bennett, Anne L. & Pannell, David J., 1998. "Economic evaluation of a weed-activated sprayer for herbicide application to patchy weed populations," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), December.
  2. Jones, Randall E., 2005. "Sustainability and integrated weed management in Australian winter cropping systems: a bioeconomic analysis," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137930, Australian Agricultural and Resource Economics Society.
  3. Hoque, Ziaul & Farquharson, Robert J. & Dillon, Martin & Kauter, Greg, 2001. "An approach to modelling and evaluating alternative management strategies for insecticide resistance in the Australian cotton industry," 2001 Conference (45th), January 23-25, 2001, Adelaide 125664, Australian Agricultural and Resource Economics Society.
  4. repec:ags:aare05:137931 is not listed on IDEAS
  5. Rohan Jayasuriya & Randall Jones & Remy Ven, 2011. "A bioeconomic model for determining the optimal response strategies for a new weed incursion," Journal of Bioeconomics, Springer, vol. 13(1), pages 45-72, April.
  6. Mitchell, Paul D., 2011. "Economic Assessment of the Benefits of Chloro-s-triazine Herbicides to U.S. Corn, Sorghum, and Sugarcane Producers," Staff Paper Series 564, University of Wisconsin, Agricultural and Applied Economics.
  7. Hurley, Terrance M. & Secchi, Silvia & Babcock, Bruce A. & Hellmich, Richard L., 2002. "Managing the Risk of European Corn Borer Resistance to Bt Corn," Staff General Research Papers 10294, Iowa State University, Department of Economics.
  8. Doole, Graeme J., 2009. "A Practical Algorithm for Multiple-Phase Control Systems in Agricultural and Natural Resource Economics," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(1), April.
  9. Doole, Graeme J., 2008. "Optimal management of annual ryegrass ( Lolium rigidum Gaud.) in phase rotations in the Western Australian Wheatbelt," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), September.
  10. Jones, Randall E. & Cacho, Oscar J. & Sinden, Jack A., 2003. "Modelling the Dynamics of Weed Management Technologies," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57902, Australian Agricultural and Resource Economics Society.
  11. Pech, Caris L. & Doole, Graeme J. & Pluske, Johanna M., 2009. "The value of refugia in managing anthelmintic resistance: a modelling approach," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48166, Australian Agricultural and Resource Economics Society.

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