IDEAS home Printed from https://ideas.repec.org/a/bla/ajarec/v34y1990i3p223-241.html
   My bibliography  Save this article

An Economic Response Model Of Herbicide Application For Weed Control

Author

Listed:
  • David J. Pannell

Abstract

A biologically realistic model of crop yield response to herbicide application is presented. It includes functions for weed mortality from herbicide application and yield loss due to surviving weeds. The optimal herbicide rate and two types of decision thresholds are derived theoretically and illustrated with empirical examples. Responses of the various decision criteria to changes in parameters are also examined theoretically and empirically. A multidimensional threshold for weeds based on weed density and weed-free yield is presented. The issue of farmers using other than officially recommended herbicide rates is discussed.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • 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.
    • Handle: RePEc:bla:ajarec:v:34:y:1990:i:3:p:223-241
    DOI: j.1467-8489.1990.tb00497.x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-8489.1990.tb00497.x
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/j.1467-8489.1990.tb00497.x?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
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Pandey, Sushil, 1989. "Economics of Wild Oats Control: An Application of a Stochastic Dynamic Programming Model," 1989 Conference (33rd), February 7-9, 1989, Christchurch, New Zealand 144816, Australian Agricultural and Resource Economics Society.
    2. L. Joe Moffitt, 1988. "Incorporating Environmental Considerations in Pest Control Advice for Farmers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 628-634.
    3. Pannell, David J., 1988. "Weed Management: A Review of Applied Economics Research in Australia," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-15, December.
    4. 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.
    5. Gershon Feder, 1979. "Pesticides, Information, and Pest Management under Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(1), pages 97-103.
    6. Moffitt, L. Joe & Hall, Darwin C. & Osteen, Craig D., 1984. "Economic Thresholds Under Uncertainty with Application to Corn Nematode Management," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 16(2), pages 151-158, December.
    7. Marra, Michele C. & Gould, Thomas D. & Porter, Gregory A., 1989. "A Computable Economic Threshold Model For Weeds In Field Crops With Multiple Pests, Quality Effects, And An Uncertain Spraying Period Length," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 18(01), pages 1-6, April.
    8. Abadi Ghadim, Amir K. & Pannell, David J., 1991. "Economic trade-off between pasture production and crop weed control," Agricultural Systems, Elsevier, vol. 36(1), pages 1-15.
    9. Moffitt, L. Joe & Hall, Darwin C. & Osteen, Craig D., 1984. "Economic Thresholds Under Uncertainty With Application To Corn Nematode Management," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(2), pages 1-7, December.
    10. Osteen, Craig D. & Bradley, Edward B. & Moffitt, L. Joe, 1981. "The Economics of Agricultural Pest Control: An Annotated Bibliography, 1960-80," Economics and Statistics Services (ESS) Reports 319977, United States Department of Agriculture, Economic Research Service.
    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. David J. Pannell, 1991. "Pests and pesticides, risk and risk aversion," Agricultural Economics, International Association of Agricultural Economists, vol. 5(4), pages 361-383, August.
    2. 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.
    3. Wu, JunJie, 2001. "Optimal weed control under static and dynamic decision rules," Agricultural Economics, Blackwell, vol. 25(1), pages 119-130, June.
    4. Gillmeister, William J. & Moffitt, L. Joe & Bhowmik, Prasanta C. & Allen, P. Geoffrey, 1990. "Information Value In Weed Management," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 19(01), pages 1-4, April.
    5. D. J. Pannell, 1990. "Responses To Risk In Weed Control Decisions Under Expected Profit Maximisation," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(3), pages 391-401, September.
    6. 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.
    7. L. JOE Moffitt, 1993. "Integrated Pest Management And Water Quality," Contemporary Economic Policy, Western Economic Association International, vol. 11(2), pages 113-120, April.
    8. Mitchell, Paul D., 2001. "Additive Versus Proportional Pest Damage Functions: Why Ecology Matters," 2001 Annual meeting, August 5-8, Chicago, IL 20775, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Norwood, F. Bailey & Marra, Michele C., 2003. "Pesticide Productivity: Of Bugs and Biases," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-15, December.
    10. Pannell, David J., 1988. "Weed Management: A Review of Applied Economics Research in Australia," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-15, December.
    11. Saphores, Jean-Daniel & Conrad, Jon M., 1996. "The Economic Threshold With a Stochastic Pest Population: An Application to the European Red Mite," Working Papers 127904, Cornell University, Department of Applied Economics and Management.
    12. Pannell, David J., 1994. "The Value Of Information In Herbicide Decision Making For Weed Control In Australian Wheat Crops," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(2), pages 1-16, December.
    13. Pannell, David J., 1995. "Optimal Herbicide Strategies Given Yield and Quality Impacts of Weeds," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 63(02), pages 1-7, August.
    14. Christine L. Carroll & Colin A. Carter & Rachael E. Goodhue & C.-Y. Cynthia Lin Lawell, 2017. "Crop Disease and Agricultural Productivity," NBER Working Papers 23513, National Bureau of Economic Research, Inc.
    15. Young, Douglas L. & Haantuba, Hyde H., 1998. "An Economic Threshold For Tick Control Considering Multiple Damages And Probability-Based Damage Functions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(2), pages 1-11, December.
    16. Regmi, Anita, 1990. "The value of information in integrated pest management of corn rootworm and European corn borer in Minnesota," Faculty and Alumni Dissertations 307267, University of Minnesota, Department of Applied Economics.
    17. Hubbell, Bryan J., 1997. "Estimating Insecticide Application Frequencies: A Comparison of Geometric and Other Count Data Models," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 29(2), pages 225-242, December.
    18. 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.
    19. Chalak, Morteza & Pannell, David J., 2012. "Optimising control of an agricultural weed in sheep-production pastures," Agricultural Systems, Elsevier, vol. 109(C), pages 1-8.
    20. Smith, G. Scott & Wetzstein, Michael E. & Douce, G. Keith, 1987. "Evaluation Of Various Pest-Management Characteristics," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 19(2), pages 1-9, December.

    More about this item

    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:bla:ajarec:v:34:y:1990:i:3:p:223-241. 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: Wiley Content Delivery (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.