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Field evaluation of a bioeconomic model for weed management in soybean (Glycine max)

Published online by Cambridge University Press:  12 June 2017

Douglas D. Buhler ,
Robert P. King ,
Scott M. Swinton ,
Jeffery L. Gunsolus  and
Frank Forcella
Robert P. King
Affiliation:
Department of Applied Economics, University of Minnesota, St. Paul, MN 55108
Scott M. Swinton
Affiliation:
Department of Agricultural Economics, Michigan State University, East Lansing, MI 48824
Jeffery L. Gunsolus
Affiliation:
Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108
Frank Forcella
Affiliation:
North Central Soil Conservation Research Laboratory, USDA, Morris, MN 56267
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Abstract

A bioeconomic model was tested as a decision aid for weed control in soybean at Rosemount, MN, from 1991 to 1994. The model makes recommendations for preplant incorporated and preemergence control tactics based on the weed seed content of the soil and postemergence decisions based on weed seedling densities. Weed control, soybean yield, herbicide use, and economic return with model-generated treatments were compared to standard herbicide and mechanical control systems. Effects of these treatments on weed populations and corn yield the following year were also determined. In most cases, the model-generated treatments controlled weeds as well as a standard herbicide treatment. Averaged over the 3 yr, the quantity of herbicide active ingredient applied was decreased by 47% with the seedbank model and 93% with the seedling model compared with a standard soil-applied herbicide treatment. However, the frequency of herbicide application was not reduced. Soybean yields reflected differences in weed control and crop injury. Net economic return to weed control was increased 50% of the time using model-recommended treatments compared with a standard herbicide treatment. Weed control treatments the previous year affected weed density in the following corn crop but had little effect on weed control or corn yield. The bioeconomic model was responsive to differing weed populations, maintained weed control and soybean yield and often increased economic returns under the weed species and densities in this research.

Keywords

Corn, Zea mays L. ‘Pioneer 3751’soybean, Glycine max (L.) Merr. ‘Glenwood’Expert systemsintegrated weed managementweed controlweed population dynamics
Type
Weed Management
Information
Weed Science , Volume 45 , Issue 1 , February 1997 , pp. 158 - 165
Copyright
Copyright © 1997 by the Weed Science Society of America 

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