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An Economic Response Model Of Herbicide Application For Weed Control

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  • Pannell, David J.

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.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:ajaeau:22352
    DOI: 10.22004/ag.econ.22352
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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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.
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    Risk and Uncertainty;

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