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Evaluation of Herbicide Interactions Using Linear Regression Modeling

Published online by Cambridge University Press:  12 June 2017

T. A. Campbell ,
W. A. Gentner  and
L. L. Danielson
T. A. Campbell
Affiliation:
U.S. Dep. Agric., Sci. Ed. Admin., Agric. Res., Beltsville, MD 20705
W. A. Gentner
Affiliation:
U.S. Dep. Agric., Sci. Ed. Admin., Agric. Res., Beltsville, MD 20705
L. L. Danielson
Affiliation:
U.S. Dep. Agric., Sci. Ed. Admin., Agric. Res., Beltsville, MD 20705
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Abstract

Interactions of nine dosage rates each of chloramben (3-amino-2,5-dichlorobenzoic acid) and diphenamid (N, N-dimethyl-2,2-diphenylacetamide) were studied using Italian ryegrass (Lolium multiflorum Lam.) as a test species. Injury score, estimated percent stand reduction, height, and fresh weight data were taken 1 week after seeding. Techniques for developing linear regression models based on these data and evaluating them graphically in terms of completeness and statistical validity are discussed. Three-dimensional graphs of these models indicate areas of possible herbicide interaction.

Keywords

Computer implemented data analysis
Type
Research Article
Information
Weed Science , Volume 29 , Issue 4 , July 1981 , pp. 378 - 381
Copyright
Copyright © 1981 by the Weed Science Society of America 

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References

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