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Analyzing Herbicide Interactions: A Statistical Treatment of Colby's Method

Published online by Cambridge University Press:  12 June 2017

Jerry L. Flint,
Paul L. Cornelius and
Michael Barrett
Jerry L. Flint
Affiliation:
Dep. Agron., Univ. Ky., Lexington, KY 40546-0091
Paul L. Cornelius
Affiliation:
Dep. Stat., Univ. Ky., Lexington, KY 40546-0091
Michael Barrett
Affiliation:
Dep. Agron., Univ. Ky., Lexington, KY 40546-0091
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Abstract

A model and a proposed method for testing herbicide interactions were modified from an analysis of variance (ANOVA) model for a 2 by 2 factorial experiment. Statistical tests for either synergism, antagonism, or additivity of herbicide combinations were developed through transforming growth data to logarithms followed by significance tests of 2 by 2 contrasts of the form μii - μi0 - μ0i + μ00 with respect to the log-transformed data. Using actual experimental data, heterogeneity of variance was less severe on the log scale compared to the original measurement scale. An expedient SAS(R) program for obtaining the desired significance tests was developed.

Keywords

Additivityantagonismsynergism

Information

Type
Research
Information
Weed Technology , Volume 2 , Issue 3 , July 1988, pp. 304 - 309
Copyright
Copyright © 1988 by the Weed Science Society of America 

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References

Literature Cited

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