IDEAS home Printed from https://ideas.repec.org/p/ags/uwapdp/230955.html
   My bibliography  Save this paper

Economics of Wild Oats Control: An Application of a Stochastic Dynamic Programming Model

Author

Listed:
  • Pandey, Sushil

Abstract

Current weed control decisions influence future profits through their effects on the seed bank. Thus all future benefits and costs need to be considered for deriving an optimal level of weed control. In this paper a stochastic dynamic programming model is developed for evaluating alternative policies for controlling wild oats seeds in the soil and the policies examined are alternative rates of pre- and post-emergent herbicides and crop rotation. The basic model consists of a wild oats population dynamics model, wheat yield response to wild oats, and dose response to various quantities of herbicides. Densities of wild oats and herbicide performance are considered to be uncertain. Optimal decision rules are derived for both risk-averse and risk-neutral farmers.

Suggested Citation

  • Pandey, Sushil, 1989. "Economics of Wild Oats Control: An Application of a Stochastic Dynamic Programming Model," Discussion Papers 230955, University of Western Australia, School of Agricultural and Resource Economics.
    • Handle: RePEc:ags:uwapdp:230955
    DOI: 10.22004/ag.econ.230955
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/230955/files/UWA%202%201989.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.230955?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
    ---><---

    Citations

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


    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. J. Pannell, David, 1991. "Pests and pesticides, risk and risk aversion," Agricultural Economics, Blackwell, vol. 5(4), pages 361-383, August.
    3. Swinton, Scott M. & King, Robert P., 1990. "Weedsim: A Bioeconomic Model Of Weed Management In Corn," Staff Papers 14164, University of Minnesota, Department of Applied Economics.
    4. David J. Pannell, 1990. "An Economic Response Model Of Herbicide Application For Weed Control," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 34(3), pages 223-241, December.
    5. Swinton, Scott M. & King, Robert P., 1994. "A bioeconomic model for weed management in corn and soybean," Agricultural Systems, Elsevier, vol. 44(3), pages 313-335.

    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:uwapdp:230955. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/aruwaau.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.