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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.

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File URL: http://purl.umn.edu/12335
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Bibliographic Info

Article provided by Australian Agricultural and Resource Economics Society in its journal Review of Marketing and Agricultural Economics.

Volume (Year): 63 (1995)
Issue (Month): 02 (August)
Pages:

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Handle: RePEc:ags:remaae:12335

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Keywords: Crop Production/Industries;

References

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  1. 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.
  2. 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.
  3. 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.
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Cited by:
  1. Hudson, Darren & Jones, Tom, 2001. "Willingness To Plant Identity Preserved Crops: The Case Of Mississippi Soybeans," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 33(03), December.

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