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Predicted Soybean Yield Loss As Affected by Emergence Time of Mixed-Species Weed Communities

Published online by Cambridge University Press:  20 January 2017

Mark R. Jeschke ,
David E. Stoltenberg ,
George O. Kegode ,
Christy L. Sprague ,
Stevan Z. Knezevic ,
Shawn M. Hock  and
Gregg A. Johnson
Mark R. Jeschke
Affiliation:
Department of Agronomy, 1575 Linden Drive, University of Wisconsin, Madison, WI 53706
David E. Stoltenberg*
Affiliation:
Department of Agronomy, 1575 Linden Drive, University of Wisconsin, Madison, WI 53706
George O. Kegode
Affiliation:
Department of Plant Sciences, North Dakota State University, Fargo, ND 58105
Christy L. Sprague
Affiliation:
Department of Crop and Soil Sciences, Michigan State University, East Lansing, MI 48824
Stevan Z. Knezevic
Affiliation:
Agronomy and Horticulture, University of Nebraska, Haskell Agricultural Laboratory, Concord, NE 68728-2828
Shawn M. Hock
Affiliation:
Agronomy and Horticulture, University of Nebraska, Haskell Agricultural Laboratory, Concord, NE 68728-2828
Gregg A. Johnson
Affiliation:
Department of Agronomy and Plant Genetics, University of Minnesota, Southern Research and Outreach Center, Waseca, MN 56093
*
Corresponding author's E-mail: [email protected]
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Abstract

Potential crop yield loss due to early-season weed competition is an important risk associated with postemergence weed management programs. WeedSOFT is a weed management decision support system that has the potential to greatly reduce such risk. Previous research has shown that weed emergence time can greatly affect the accuracy of corn yield loss predictions by WeedSOFT, but our understanding of its predictive accuracy for soybean yield loss as affected by weed emergence time is limited. We conducted experiments at several sites across the Midwestern United States to assess accuracy of WeedSOFT predictions of soybean yield loss associated with mixed-species weed communities established at emergence (VE), cotyledon (VC), first-node (V1), or third-node (V3) soybean. Weed communities across research sites consisted mostly of annual grass species and moderately competitive annual broadleaf species. Soybean yield loss occurred in seven of nine site-years for weed communities established at VE soybean, four site-years for weed communities established at VC soybean, and one site-year for weed communities established at V1 soybean. No soybean yield loss was associated with weed communities established at the V3 stage. Nonlinear regression analyses of predicted and observed soybean yield data pooled over site-years showed that predicted yields were less than observed yields at all soybean growth stages, indicating overestimation of soybean yield loss. Pearson correlation analyses indicated that yield loss functions overestimated the competitive ability of high densities of giant and yellow foxtail with soybean, indicating that adjustments to competitive index values or yield loss function parameters for these species may improve soybean yield loss prediction accuracy and increase the usefulness of WeedSOFT as a weed management decision support system.

Keywords

Giant foxtail, Setaria faberi Herrm., SETFAyellow foxtail, Setaria pumila (Poir.) Roemer &J.A. Schultes, SETLUcorn, Zea mays Lsoybean, Glycine max (L.) MerrBioeconomic modelcompetitive indexdecision support systemintegrated weed managementWeedSOFT
Type
Weed Management
Information
Weed Science , Volume 59 , Issue 3 , September 2011 , pp. 416 - 423
Copyright
Copyright © Weed Science Society of America 

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Footnotes

Current address: Pioneer Hi-Bred International, Inc., 7300 NW 62nd Ave, P.O. Box 1004, Johnston, IA 50131-1004.

current address: Department of Agriculture, 800 University Drive, Northwest Missouri State University, Maryville, MO 64468-6001.

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