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Developing Flexible Economic Thresholds for Pest Management Using Dynamic Programming

Published online by Cambridge University Press:  28 April 2015

Jayson K. Harper ,
James W. Mjelde ,
M. Edward Rister ,
Michael O. Way  and
Bastiaan M. Drees
Jayson K. Harper
Affiliation:
Department of Agricultural Economics and Rural Sociology, The Pennsylvania State University
James W. Mjelde
Affiliation:
Department of Agricultural Economics, Texas A&M University
M. Edward Rister
Affiliation:
Department of Agricultural Economics, Texas A&M University
Michael O. Way
Affiliation:
Texas A&M UniversityAgricultural Research and Extension Center, Beaumont, TX
Bastiaan M. Drees
Affiliation:
Texas Agricultural Extension Service
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Abstract

The rice stink bug is a major pest of rice in Texas, causing quality related damage. The previous thresholds used for assisting in rice stink bug spray decisions lacked flexibility in economic and production decision variables and neglected the dynamics of the pest population. Using stochastic dynamic programming, flexible economic thresholds for the rice stink bug were generated. The new thresholds offer several advantages over the old, static thresholds, including increased net returns, incorporation of pest dynamics, user flexibility, ease of implementation, and a systematic process for updating.

Keywords

economic thresholdsdynamic programmingpest managementrice
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 26 , Issue 1 , July 1994 , pp. 134 - 147
Copyright
Copyright © Southern Agricultural Economics Association 1994

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