Hostname: page-component-cd9895bd7-lnqnp Total loading time: 0 Render date: 2024-12-24T12:24:01.546Z Has data issue: false hasContentIssue false
  • English
  • Français

Economic Thresholds Under Uncertainty with Application to Corn Nematode Management

Published online by Cambridge University Press:  05 September 2016

L. Joe Moffitt ,
Darwin C. Hall  and
Craig D. Osteen
L. Joe Moffitt
Affiliation:
Natural Resource Economics Division, Economic Research Service, U.S. Department of Agriculture, University of California, Riverside and Washington, D.C.
Darwin C. Hall
Affiliation:
Department of Economics, University of California, Riverside
Craig D. Osteen
Affiliation:
Natural Resource Economics Division, Economic Research Service, U.S. Department of Agriculture, University of California, Riverside and Washington, D.C.
Get access Rights & Permissions [Opens in a new window]

Abstract

An economic threshold of agricultural pest management is derived. Results provide a method for researchers to use in making improved pest control recommendations to farmers without farm level decisionmaking. An empirical illustration for lesion nematode management in irrigated corn is given and directions for further research are indicated.

Keywords

economic thresholdsuncertaintypest managementcornnematodes
Type
Notes
Information
Journal of Agricultural and Applied Economics , Volume 16 , Issue 2 , December 1984 , pp. 151 - 158
Copyright
Copyright © Southern Agricultural Economics Association 1984

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.)

References

Agsystems Research. Agchem Prices, El Paso, Texas (1982).Google Scholar
Carlson, G. A.“A Decision Theoretic Approach to Crop Disease Prediction and Control.” Amer. J. Agr. Econ., 52(1970):216–222.CrossRefGoogle Scholar
Edwards, C. A. and Heath, G. W. The Principles of Agricultural Entomology, Thomas, Charles C., Springfield, Illinois (1964).Google Scholar
Feder, G. “Pesticides, Information, and Pest Management Under Uncertainty.” Amer. J. Agr. Econ., 61(1979):97–103.Google Scholar
Ferris, H. “Nematode Economic Thresholds: Derivation, Requirements, and Theoretical Considerations.” J. of Nematology, 10(1978):341–350.Google Scholar
Fohner, G. R., White, G. B., and Schwager, S.J.. “The Value of Economic Thresholds for Managing Agricultural Pests.” Agricultural Economics Research 82-46, Cornell University, Ithaca, New York (1982).Google Scholar
Gutierrez, A. P., Daxl, R., Quant, G. L., and Falcon, L. A. “Estimating Economic Thresholds for Bollworm, Heliothis zea Boddie, and Bollweevil, Anthonomus grandis Boh., Damage in Nicaraguan Cotton, Gossypium hirsutum L.” Environ. Entomol, 10(1981):872–879.CrossRefGoogle Scholar
Hall, Darwin C, and Norgaard, R. B. “On the Timing and Application of Pesticides.” Amer. J. Agr. Econ., 55 (1973):198–201.Google Scholar
Headley, J. C.“Defining the Economic Threshold.” Pest Control Strategies for the Future, Nat. Acad. Sci., (1971), 100–108.Google Scholar
Jondrow, J., Bowes, M., and Levy, R.. “The Optimal Speed Limit.” Econ. Inquiry, 21(1983):325–336.Google Scholar
Kogan, M. and Luckmann, W. H. “Guidelines for a Soybean Insect-Pest Management Program in Illinois.” Section of Economic Entomology, Illinois Natural History Survey and Illinois Agricultural Experiment Station, Urbana (1974).Google Scholar
Mood, A. M., Graybill, F. A., and Boes, D. C. Introduction to the Theory of Statistics, New York: McGraw-Hill, 1974.Google Scholar
Osteen, C. D., Johnson, A. W., and Dowler, C. C. “Applying the Economic Threshold Concept to Control Lesion Nematodes on Corn.” USDA Tech. Bull. 1670 (1982).Google Scholar
Poston, F. L., Pedigo, L. P., and Welch, S. M. “Economic Injury Levels: Reality and Practicality.” Bull. Ent. Soc. Am., 29(1983):49–53.Google Scholar
U.S. Department of Agriculture. Agricultural Statistics, Washington, D.C. (1982).Google Scholar