Hostname: page-component-745bb68f8f-kw2vx Total loading time: 0 Render date: 2025-01-10T01:15:35.709Z Has data issue: false hasContentIssue false
  • English
  • Français

A Computable Economic Threshold Model for Weeds in Field Crops with Multiple Pests, Quality Effects and an Uncertain Spraying Period Length

Published online by Cambridge University Press:  10 May 2017

Michele C. Marra ,
Thomas D. Gould  and
Gregory A. Porter
Michele C. Marra
Affiliation:
Department of Agricultural and Resource Economics
Thomas D. Gould
Affiliation:
Department of Agricultural and Resource Economics
Gregory A. Porter
Affiliation:
Department of Plant and Soil Science, University of Maine, Orono, Maine, 04469
Get access

Abstract

A model is developed to determine the minimum weed population where a decision to apply a postemergence 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.

Type
Research Article
Information
Northeastern Journal of Agricultural and Resource Economics , Volume 18 , Issue 1 , April 1989 , pp. 12 - 17
Copyright
Copyright © 1989 Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

They wish to thank Jim Leiby, Ed Plissey, Edd Johnston and Florence Bubar for various forms of help and inspiration. This work was funded by Contract No. USDA-TPSU-UM-2057-366 through NPIAP at Penn State University and by the Maine Agricultural Experiment Station. MAES Publication No. 1320.

References

Howard, Ferris, Ball, Dan A., Beem, Lance W. and Gudmundson, Leann A.,. “Using Nematode Count Data in Crop Management Decisions.” California Agriculture. Jan-Feb, 1986: 12–14.Google Scholar
Hall, D. C. and Norgaard, R. B. “On the Timing and Application of Pesticides.” American Journal of Agricultural Economics. 55 (1973): 198–201.Google Scholar
Headley, J. C. “Defining the Economic Threshold.” Pest Control Strategy for the Future. National Academy of Science, 1972: 100–108.Google Scholar
Marra, Michele C. and Carlson, G. A. “An Economic Threshold Model for Weeds in Soybeans (Glycine Max).” Weed Science 32 (1983): 604–609.Google Scholar
Mendenhall, W., Schaeffer, R. and Wackerly, D. Mathematical Statistics with Applications. Boston: Duxbury Press, 1981.Google Scholar
Moffitt, L. Joe, Hall, Darwin C., and Osteen, Craig D. “Economic Thresholds under Uncertainty with Application to Corn Nematode Management.” Southern Journal of Agricultural Economics. 16 (1984): 151–157.Google Scholar
Mumford, J. D., and Norton, G. A. “Economics of Decision Making in Pest Management.” Annual Review of Entomology. 29 (1984): 157–174.Google Scholar
Pedigo, Larry P., Hutchins, Scott H., and Higley, Leon G. “Economic Injury Levels in Theory and Practice.” Annual Review of Entomology. 31 (1986): 341–368.Google Scholar
Plissey, Edwin S., Dwyer, J. D., Morrow, L., Thompson, D. and Dill, J. Maine Potato Pest Control Guide. Maine Cooperative Extension Service, June, 1987.Google Scholar
Porter, G. A., Park, J. D. and Lamoreau, M. F. “Summary of Weed Control, Vine Desiccation, and Plant Growth Regulator Trials.” Unpublished mimeos, Dept. of Plant and Soil Science and Maine Agricultural Experiment Station, Univ. of Maine, 1986 and 1987.Google Scholar
Poston, L. P., Pedigo, L. P., and Welch, S. M. “Economic Injury Levels: Reality and Practicality.” Entomological Society of America. 76 (1983): 49–53.Google Scholar
Stem, V. M. “Significance of the Economic Threshold in Integrated Pest Control.” Proceedings FAO Symposium in Integrated Pest Management 2 (1966): 41–56.Google Scholar
U.S.D.A. SOIL SURVEY Aroostook County, Maine Southern Part. 1958:6, August, 1964.Google Scholar
Wetzstein, Michael E., Szmedra, Philip, Musser, Wesley N., and Chou, Charlene C. J. “Optimal Agricultural Pest Management with Multiple Species.” Northeastern Journal of Agricultural and Resource Economics. 14 (1985): 71–77.Google Scholar