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Optimal Herbicide Strategies Given Yield and Quality Impacts of Weeds

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  • Pannell, David J.

Abstract

Prices received by Australian wheat farmers have increasingly depended on grain quality, especially protein concentration. This concentration depends on various agronomic and physical factors including weed competition. In this paper a model of weed management in the presence of grain quality premiums is presented. Two types of quality premium are examined: a continuout linear payment schedule and a discontinuous "stepped" schedule with substantial premiums for quality levels above a critical level. The model is applied to an analysis of the impact of protein premiums on optimal management strategies for a particular weed in Western Australia. It is found that the impact of protein premiums on optimal weed management is likely to be very small indeed, even if premiums were substantially increased above current levels.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:remaae:12335
    DOI: 10.22004/ag.econ.12335
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    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. Pandey, Sushil & Medd, R. W., 1990. "Integration of seed and plant kill tactics for control of wild oats: An economic evaluation," Agricultural Systems, Elsevier, vol. 34(1), pages 65-76.
    3. 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.
    4. P. B. R. Hazell & M. Jaramillo & A. Williamson, 1990. "The Relationship Between World Price Instability And The Prices Farmers Receive In Developing Countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(2), pages 227-241, May.
    5. 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.
    6. Schmidt, Carmel & Pannell, David J. & Stewart, Vanessa, 1994. "Economics of Herbicide Resistant Weeds," 1994 Conference (38th), February 8-10, 1994, Wellington, New Zealand 148677, Australian Agricultural and Resource Economics Society.
    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(1), pages 1-6, April.
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    Cited by:

    1. Pannell, David J. & Stewart, Vanessa & Bennett, Anne & Monjardino, Marta & Schmidt, Carmel & Powles, Stephen B., 2004. "RIM: a bioeconomic model for integrated weed management of Lolium rigidum in Western Australia," Agricultural Systems, Elsevier, vol. 79(3), pages 305-325, March.
    2. Hudson, Darren & Jones, Tom, 2001. "Willingness to Plant Identity Preserved Crops: The Case of Mississippi Soybeans," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 33(3), pages 475-485, December.
    3. Skevas, Theodoros & Stefanou, Spiro E. & Oude Lansink, Alfons, 2014. "Pesticide use, environmental spillovers and efficiency: A DEA risk-adjusted efficiency approach applied to Dutch arable farming," European Journal of Operational Research, Elsevier, vol. 237(2), pages 658-664.

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