IDEAS home Printed from https://ideas.repec.org/p/ags/aare01/125664.html
   My bibliography  Save this paper

An approach to modelling and evaluating alternative management strategies for insecticide resistance in the Australian cotton industry

Author

Listed:
  • Hoque, Ziaul
  • Farquharson, Robert J.
  • Dillon, Martin
  • Kauter, Greg

Abstract

The issue of insecticide resistance to Helicoverpa insects is of increasing concern to the Australian cotton industry. In this paper we begin to consider this issue using bioeconomic modelling and analysis. We develop management strategies at the farm level within an integrated resistance management framework. Because of our emphasis on resistance, we first discuss an index of resistance risk that can be applied to chemical and other strategies. After this initial filter is used, the resulting strategies can be evaluated in a bio-economic framework. The Helicoverpa Armigera and Punctigera Simulation (HEAPS) model can be used to evaluate the entomological impacts of alternative strategies for insect control. The method of analysis proposed involves dynamic optimisation techniques based on predicted stock and flow outcomes from the simulation and other models.

Suggested Citation

  • 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, Australia 125664, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare01:125664
    DOI: 10.22004/ag.econ.125664
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/125664/files/Hoque.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.125664?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Russell J. Gorddard & David J. Pannell & Greg Hertzler, 1995. "An Optimal Control Model For Integrated Weed Management Under Herbicide Resistance," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(1), pages 71-87, April.
    2. 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.
    3. Hearn, A. B., 1994. "OZCOT: A simulation model for cotton crop management," Agricultural Systems, Elsevier, vol. 44(3), pages 257-299.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Blum, Moshe & Nestel, David & Cohen, Yafit & Goldshtein, Eitan & Helman, David & Lensky, Itamar M., 2018. "Predicting Heliothis (Helicoverpa armigera) pest population dynamics with an age-structured insect population model driven by satellite data," Ecological Modelling, Elsevier, vol. 369(C), pages 1-12.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schmidt, Carmel P & Pannell, David J, 1996. "Economic Issues in Management of Herbicide-Resistant Weeds," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 64(03), pages 1-8, December.
    2. Secchi, Silvia, 2000. "Economic issues in resistance management," ISU General Staff Papers 2000010108000013359, Iowa State University, Department of Economics.
    3. 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.
    4. Amouzou, Kokou Adambounou & Naab, Jesse B. & Lamers, John P.A. & Borgemeister, Christian & Becker, Mathias & Vlek, Paul L.G., 2018. "CROPGRO-Cotton model for determining climate change impacts on yield, water- and N- use efficiencies of cotton in the Dry Savanna of West Africa," Agricultural Systems, Elsevier, vol. 165(C), pages 85-96.
    5. 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), pages 1-20.
    6. Hochman, Zvi & Horan, Heidi & Reddy, D. Raji & Sreenivas, Gade & Tallapragada, Chiranjeevi & Adusumilli, Ravindra & Gaydon, Don & Singh, Kamalesh K. & Roth, Christian H., 2017. "Smallholder farmers managing climate risk in India: 1. Adapting to a variable climate," Agricultural Systems, Elsevier, vol. 150(C), pages 54-66.
    7. 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), pages 1-24.
    8. Luo, Qunying & Bange, Michael & Braunack, Michael & Johnston, David, 2016. "Effectiveness of agronomic practices in dealing with climate change impacts in the Australian cotton industry — A simulation study," Agricultural Systems, Elsevier, vol. 147(C), pages 1-9.
    9. Hearn, A. B. & Bange, M. P., 2002. "SIRATAC and CottonLOGIC: persevering with DSSs in the Australian cotton industry," Agricultural Systems, Elsevier, vol. 74(1), pages 27-56, October.
    10. Terrance Hurley & Silvia Secchi & Bruce Babcock & Richard Hellmich, 2002. "Managing the Risk of European Corn Borer Resistance to Bt Corn," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 22(4), pages 537-558, August.
    11. Jacobs, A. & Kingwell, R., 2016. "The Harrington Seed Destructor: Its role and value in farming systems facing the challenge of herbicide-resistant weeds," Agricultural Systems, Elsevier, vol. 142(C), pages 33-40.
    12. Graeme J. Doole, 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), pages 339-362, September.
    13. Gorddard, Russell J. & Pannell, David J. & Hertzler, Greg, 1996. "Economic evaluation of strategies for management of herbicide resistance," Agricultural Systems, Elsevier, vol. 51(3), pages 281-298, July.
    14. Allyson Williams & Neil White & Shahbaz Mushtaq & Geoff Cockfield & Brendan Power & Louis Kouadio, 2015. "Quantifying the response of cotton production in eastern Australia to climate change," Climatic Change, Springer, vol. 129(1), pages 183-196, March.
    15. Filippi, Patrick & Whelan, Brett M. & Vervoort, R. Willem & Bishop, Thomas F.A., 2020. "Mid-season empirical cotton yield forecasts at fine resolutions using large yield mapping datasets and diverse spatial covariates," Agricultural Systems, Elsevier, vol. 184(C).
    16. Hochman, Zvi & Horan, Heidi & Reddy, D. Raji & Sreenivas, G. & Tallapragada, Chiranjeevi & Adusumilli, Ravindra & Gaydon, Donald S. & Laing, Alison & Kokic, Philip & Singh, Kamalesh K. & Roth, Christi, 2017. "Smallholder farmers managing climate risk in India: 2. Is it climate-smart?," Agricultural Systems, Elsevier, vol. 151(C), pages 61-72.
    17. 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.
    18. Hanan, J. S. & Hearn, A. B., 2003. "Linking physiological and architectural models of cotton," Agricultural Systems, Elsevier, vol. 75(1), pages 47-77, January.
    19. Dore, T. & Sebillotte, M. & Meynard, J. M., 1997. "A diagnostic method for assessing regional variations in crop yield," Agricultural Systems, Elsevier, vol. 54(2), pages 169-188, June.
    20. Milroy, S. P. & Bange, M. P. & Hearn, A. B., 2004. "Row configuration in rainfed cotton systems: modification of the OZCOT simulation model," Agricultural Systems, Elsevier, vol. 82(1), pages 1-16, October.

    More about this item

    Keywords

    Crop Production/Industries;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aare01:125664. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.