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Estimation of Crop Yield Loss Due to Interference by Multiple Weed Species

Published online by Cambridge University Press:  12 June 2017

Scott M. Swinton
Affiliation:
Dep. Agric. Econ., Michigan State Univ., E. Lansing, MI 48824–1039
Douglas D. Buhler
Affiliation:
Plant Sci. Res. Unit, U.S. Dep. Agric, Agric. Res. Serv. and Assoc. Prof., Dep. Agron. and Plant Genet., Univ. Minnesota, St. Paul, MN 55108
Frank Forcella
Affiliation:
U.S. Dep. Agric, Agric. Res. Serv., North Cent. Soil Conserv. Res. Lab., Morris, MN 56267
Jeffrey L. Gunsolus
Affiliation:
Dep. Agron. and Plant Genet., Univ. Minnesota, St. Paul, MN 55108
Robert P. King
Affiliation:
Dep. Agric. and Appl. Econ., Univ. Minnesota, St. Paul, MN 55108

Abstract

Previous efforts to model crop yield loss from multiple weed species constructed competitive indices based on yield loss from individual weed species. Our model uses a multispecies modification of Cousens’ rectangular hyperbolic yield function to estimate a nonlinear competitive index for weed-crop interference. Results from 13 Minnesota and Wisconsin data sets provide measures of the relative competitiveness of mixed green and yellow foxtails, common lambsquarters, redroot pigweed, velvetleaf, and several other weed species. Competition coefficient estimates are stable over years, but not locations.

Type
Special Topics
Copyright
Copyright © 1994 by the Weed Science Society of America 

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