The value of pest information in a dynamic setting: The case of weed control

M. Scott, S. Swinton, Robert P. King

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

The value of weed scouting information for soil-applied and post-emergence weed management is estimated using a dynamic, whole-farm, stochastic simulation model. The model simulates outcomes of four expected utility functions from management strategies using three levels of weed information. Results from a representative Minnesota corn and soybean farm indicate high value of weed seedling counts (for postemergence control) but relatively low value of weed seed counts (for soil-applied control). While herbicide use is often reduced under information-based management, this is not always the case.

Original languageEnglish (US)
Pages (from-to)36-46
Number of pages11
JournalAmerican Journal of Agricultural Economics
Volume76
Issue number1
DOIs
StatePublished - Feb 1994

Bibliographical note

Funding Information:
Scott M. Swinton is an assistant professor in the Department of Agricultural Economics, Michigan State University. Robert P. King is a professor in the Department of Agricultural and Applied Economics. University of Minnesota. St. Paul. The authors thank Roy Black, Derek Byerlee, Dennis Gilliland, and Jack Meyer for helpful comments. This research received support from the Michigan Agricultural Experiment Station, a University of Minnesota Doctoral Dissertation Fellowship, and a grant from the Agricultural Research Service of the U.S. Department of Agriculture. Review coordinated by Richard Adams.

Keywords

  • Bioeconomic model
  • Integrated pest management
  • Scouting
  • Stochastic simulation
  • Yield risk

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