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Economic Importance of Managing Spatially Heterogeneous Weed Populations

Published online by Cambridge University Press:  12 June 2017

John L. Lindquist
Affiliation:
Department of Agronomy, University of Nebraska, Lincoln, NE 68583-0915; jlindquist@unl.edu
J. Anita Dieleman
Affiliation:
Department of Agronomy, University of Nebraska, Lincoln, NE 68583-0915; jlindquist@unl.edu
David A. Mortensen
Affiliation:
Department of Agronomy, University of Nebraska, Lincoln, NE 68583-0915; jlindquist@unl.edu
Gregg A. Johnson
Affiliation:
University of Minnesota Southern Experiment Station, Waseca, MN 56093
Dawn Y. Wyse-Pester
Affiliation:
Colorado State University, Fort Collins, CO 80523

Abstract

Three methods of predicting the impact of weed interference on crop yield and expected economic return were compared to evaluate the economic importance of weed spatial heterogeneity. Density of three weed species was obtained using a grid sampling scheme in 11 corn and 11 soybean fields. Crop yield loss was predicted assuming densities were homogeneous, aggregated following a negative binomial with known population mean and k, or aggregated with weed densities spatially mapped. Predicted crop loss was lowest and expected returns highest when spatial location of weed density was utilized to decide whether control was justified. Location-specific weed management resulted in economic gain as well as a reduction in the quantity of herbicide applied.

Type
Research
Copyright
Copyright © 1997 by the Weed Science Society of America 

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