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Predicting Crop Yield Reductions from Weeds

Published online by Cambridge University Press:  12 June 2017

Richard J. Aldrich
Richard J. Aldrich*
Affiliation:
U.S. Dep. Agric., Agric. Res. Serv., Agron. Dep., Univ. Missouri, Columbia, MO 65211
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Abstract

Predicting crop yield reductions from weeds continues to challenge weed science. Useful methods based upon weed densities and upon area weeds influence have been developed. Results vary greatly from year to year and location to location for several reasons which are reviewed: 1) the shift in crop yield from a weed density-dependent to a weed density-independent relationship; 2) the effect of density on essential growth factor competed for; 3) differences among weed species in relative competitiveness for essential growth factors; 4) the differential effect of environmental conditions on the competitiveness of weed species; and 5) the effect of time of emergence on competition. To reduce the variability in prediction methods will necessitate developing a method based upon the factor(s) responsible for yield reduction.

Keywords

Threshold levelarea of influencecompetitiondensity-dependent and independent relationshipslight interference
Type
Feature
Information
Weed Technology , Volume 1 , Issue 3 , July 1987 , pp. 199 - 206
Copyright
Copyright © 1987 by the Weed Science Society of America 

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References

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