IDEAS home Printed from https://ideas.repec.org/p/ags/aare02/183421.html
   My bibliography  Save this paper

A herbicide dose strategy able to account for environmental variation allows lower overall herbicide use without compromising long run economic benefits

Author

Listed:
  • Nordblom, Thomas L.
  • Jones, Randall E.
  • Medd, Richard W.

Abstract

This paper approaches biological and economic risks in association with strategic and tactical decisions on herbicide dose. Underlying sources of the risks investigated are weed seed bank density and the season-to-season variations in weather. In a simulation model these affect the interplay of dryland wheat crops, a selective post-emergence herbicide and wild oats for different economic and biological outcomes. For fixed and factor-adjusted herbicide dose strategies, our simulation model shows how weather variations result in measurable risks, expressed as cumulative probability distributions of herbicide efficacy, crop yields, changes in weed seed banks in the short and long runs, and economic benefits. Where it is possible to accurately determine the weed densities and weather factors for each spray application, a ‘best efficacy-targeting strategy’ (BETS) is defined. Simulated results with BETS, run with a long sequence of weather, are better than or equal to best fixed doses for any given weed density in terms of crop yields, weed seed bank reduction and long-run economic benefits. Compared to a strategy of continuous maximum doses, BETS allows for lower over-all herbicide use: 23% less with 128 weeds m-2, 58% less with 32 weeds, and 80% less with 8 weeds.

Suggested Citation

  • Nordblom, Thomas L. & Jones, Randall E. & Medd, Richard W., 2002. "A herbicide dose strategy able to account for environmental variation allows lower overall herbicide use without compromising long run economic benefits," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 183421, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare02:183421
    DOI: 10.22004/ag.econ.183421
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/183421/files/Nordblom%202002.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.183421?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. Cacho, Oscar J. & Jones, Randall E., 2000. "A Dynamic Optimisation Model of Weed Control," Working Papers 12902, University of New England, School of Economics.
    Full references (including those not matched with items on IDEAS)

    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. Nordblom, Thomas L. & Jones, Randall E. & Medd, Richard W., 2003. "Economics of factor adjusted herbicide doses: a simulation analysis of best efficacy targeting strategies (BETS)," Agricultural Systems, Elsevier, vol. 76(3), pages 863-882, June.
    2. Webster, Stewart & Mullen, John D., 2000. "Animal Disease Economics: The Case of Ovine Johne’s Disease in New South Wales," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123737, Australian Agricultural and Resource Economics Society.
    3. Brennan, John P. & Lemerle, Deirdre & Martin, Peter J., 2001. "Economics of Increasing Wheat Competitiveness as a Weed Control Weapon," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 125543, Australian Agricultural and Resource Economics Society.
    4. Nordblom, Thomas L. & Jones, Randall E. & Medd, Richard W., 2001. "Economics of factor-adjusted herbicide doses: Best-Efficacy Targeting or Best Fixed Doses vs 'blind' upper or lower label doses," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 125800, Australian Agricultural and Resource Economics Society.

    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:aare02:183421. 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.