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An Economic Threshold Model for Weeds in Soybeans (Glycine max)

Published online by Cambridge University Press:  12 June 2017

Michele C. Marra  and
Gerald A. Carlson
Michele C. Marra
Affiliation:
Dep. Econ. and Bus., North Carolina State Univ., Raleigh, NC 27650
Gerald A. Carlson
Affiliation:
Dep. Econ. and Bus., North Carolina State Univ., Raleigh, NC 27650
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Abstract

A model for determination of economic thresholds, or minimum weed population densities justifying the use of postemergence herbicide treatment, for five weed species in soybeans [Glycine max (L.) Merr.] is presented. Sensitivity analysis was performed on the model with respect to economic, statistical, and agronomic variables. The model was refined to include uncertainty about lost field days during the spraying period. Predictions from both the simple and refined models were consistent with economic theory. It was also determined that the economic threshold is sensitive to choice of data-collection ranges and functional form in weed-interference studies.

Keywords

Amaranthus hybridus L.Ambrosia artemisiifolia L.Ipomoea purpurea (L.) Roth.Polygonum pensylvanicum L.Xanthium pensylvanicum Wallr.integrated pest managementweather riskAMBELPHBPUPOLPYXANOR
Type
Research Article
Information
Weed Science , Volume 31 , Issue 5 , September 1983 , pp. 604 - 609
Copyright
Copyright © 1983 Weed Science Society of America 

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References

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