Economics of Wild Oats Control: An Application of a Stochastic Dynamic Programming Model

Current weed control decisions influence future profits through their effects on the seed bank. Thus all future benefits and costs need to be considered for deriving an optimal level of weed control. In this paper a stochastic dynamic programming model is developed for evaluating alternative policies for controlling wild oats seeds in the soil and the policies examined are alternative rates of pre- and post-emergent herbicides and crop rotation. The basic model consists of a wild oats population dynamics model, wheat yield response to wild oats, and dose response to various quantities of herbicides. Densities of wild oats and herbicide performance are considered to be uncertain. Optimal decision rules are derived for both risk-averse and risk-neutral farmers.


Issue Date:
1989-02
Publication Type:
Working or Discussion Paper
Record Identifier:
http://ageconsearch.umn.edu/record/230955
PURL Identifier:
http://purl.umn.edu/230955
Total Pages:
16
Series Statement:
Discussion paper
2/89




 Record created 2017-04-01, last modified 2018-01-23

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