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

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
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