IDEAS home Printed from https://ideas.repec.org/p/ags/aare01/125800.html
   My bibliography  Save this paper

Economics of factor-adjusted herbicide doses: Best-Efficacy Targeting or Best Fixed Doses vs 'blind' upper or lower label doses

Author

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

Abstract

Herbicide labels recommend sufficiently large doses to achieve high efficacy of weed control under a range of environmental conditions. While users may not apply doses greater than recommended they may apply less, but do so without quantitative guidance. This paper explores long-run biological and economic outcomes of fixed label doses and strategies keyed to density of weeds in Òbest fixed-doseÓ (BFD) and Òbest efficacy-targetingÓ (BET) modes. Analysis based on 59 experiments in wheat fields across southern Australia, from 1986 to 1995, indicate the latter strategies are superior to maximum label rates in terms of (a) mean net present values of current and future benefits and costs of weed management, expressed as Hamiltonians keyed to weed seed banks, (b) mean current gross margins, and (c) lower overall herbicide use. BFD have further practical advantages in simplicity and lower information requirements for the user, BET in tailoring applications to specific field environments.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:aare01:125800
    DOI: 10.22004/ag.econ.125800
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/125800/files/Nordblo1.PDF
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.125800?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. 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(3), pages 1-19, December.
    2. Cacho, Oscar J. & Jones, Randall E., 2000. "A Dynamic Optimisation Model of Weed Control," Working Papers 12902, University of New England, School of Economics.
    3. Nordblom, Thomas L. & Ahmed, Awadelkarim H. & Miller, Stanley F. & Glenn, D. Michael, 1985. "Long-run evaluation of fertilization strategies for dryland wheat in Northcentral Oregon: Simulation analysis," Agricultural Systems, Elsevier, vol. 18(3), pages 133-153.
    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. Jones, Randall E. & Cacho, Oscar J., 2000. "A Dynamic Optimisation Model of Weed Control," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123685, Australian Agricultural and Resource Economics Society.
    3. 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.
    4. 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.
    5. Kingwell, Ross S., 1995. "Effects of Tactical Responses and Risk Aversion on Farm Wheat Supply," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 62(01), pages 1-14, April.
    6. 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.
    7. Kingwell, Ross S., 1992. "The Tactics of Dryland Farm Management given Variance in Climate and Prices," 1992 Conference (36th), February 10-13, 1992, Canberra, Australia 146536, Australian Agricultural and Resource Economics Society.
    8. 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.
    9. Gackstetter, David & von Bloh, Malte & Hannus, Veronika & Meyer, Sebastian T. & Weisser, Wolfgang & Luksch, Claudia & Asseng, Senthold, 2023. "Autonomous field management – An enabler of sustainable future in agriculture," Agricultural Systems, Elsevier, vol. 206(C).
    10. 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.
    11. Monjardino, M. & McBeath, T. & Ouzman, J. & Llewellyn, R. & Jones, B., 2015. "Farmer risk-aversion limits closure of yield and profit gaps: A study of nitrogen management in the southern Australian wheatbelt," Agricultural Systems, Elsevier, vol. 137(C), pages 108-118.
    12. Böcker, Thomas & Britz, Wolfgang & Finger, Robert, 2017. "Modelling the Effects of a Glyphosate Ban on Weed Management in Maize Production," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 261982, German Association of Agricultural Economists (GEWISOLA).
    13. Epanchin-Niell, Rebecca S. & Wilen, James E., 2012. "Optimal spatial control of biological invasions," Journal of Environmental Economics and Management, Elsevier, vol. 63(2), pages 260-270.
    14. David J. Pannell, 2006. "Flat Earth Economics: The Far-reaching Consequences of Flat Payoff Functions in Economic Decision Making," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(4), pages 553-566.
    15. 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.
    16. 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.
    17. 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.
    18. Monjardino, Marta & McBeath, T. & Brennan, Lisa E. & Llewellyn, Rick S., 2012. "Are farmers in low-rainfall cropping regions under-fertilizing? An Australian case-study," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 124976, International Association of Agricultural Economists.
    19. 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.
    20. Nordblom, Thomas L. & Medd, Richard W., 2000. "Whole Truth in Herbicide Labelling," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123711, Australian Agricultural and Resource Economics Society.

    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:aare01:125800. 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.