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A Computable Economic Threshold Model For Weeds In Field Crops With Multiple Pests, Quality Effects, And An Uncertain Spraying Period Length

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  • Marra, Michele C.
  • Gould, Thomas D.
  • Porter, Gregory A.

Abstract

A model is developed to determine the minimum weed population where a decision to apply a postmergence herbicide would be profitable. The economic threshold model accounts for changing economic conditions, the effect of weeds on crop quality, the effect of multiple weed species on yield and quality, and uncertainty about spraying period length. The model is uncomplicated enough for microcomputer or programmable calculator applications. An example of weed threshold calculations for round white potatoes is given.

Suggested Citation

  • 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(01), pages 1-6, April.
    • Handle: RePEc:ags:nejare:28804
    DOI: 10.22004/ag.econ.28804
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    File URL: https://ageconsearch.umn.edu/record/28804/files/18010012.pdf
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    References listed on IDEAS

    as
    1. Darwin C. Hall & Richard B. Norgaard, 1973. "On the Timing and Application of Pesticides," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(2), pages 198-201.
    2. repec:cup:jagaec:v:16:y:1984:i:02:p:151-158_01 is not listed on IDEAS
    3. 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.
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    Cited by:

    1. 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.
    2. 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.
    3. Gillmeister, William J. & Moffitt, L. Joe & Bhowmik, Prasanta C. & Allen, P. Geoffrey, 1990. "Information Value In Weed Management," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 19(01), pages 1-4, April.
    4. Hubbell, Bryan J., 1997. "Estimating Insecticide Application Frequencies: A Comparison Of Geometric And Other Count Data Models," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 29(2), pages 1-18, December.

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