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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

Literature Cited

1. Akobundu, I. O., Sweet, R. D., and Duke, W. B. 1975. A method of evaluating herbicide combinations and determining herbicide synergism. Weed Sci. 23:20–25.CrossRefGoogle Scholar
2. Chew, V. 1976. Comparing treatment means: a compendium. Hortic. Sci. 11:348–357.Google Scholar
3. Colby, S. R. 1967. Calculating synergistic and antagonistic responses of herbicide combinations. Weeds 15:20–22.CrossRefGoogle Scholar
4. Draper, R. N. and Smith, H. 1966. Applied Regression Analysis. Wiley, New York. 407 pp.Google Scholar
5. Gowing, D. P. 1959. A method of comparing herbicides and assessing herbicide mixtures at the screening level. Weeds 7:66–76.CrossRefGoogle Scholar
6. Helwig, J. T. and Council, K. A. 1979. SAS Users Guide, 1979 edition. SAS Institute Inc., Raleigh, North Carolina. 494 pp.Google Scholar
7. Limpel, L. E., Schuldt, P. H., and Lamont, D. 1962. Weed control by dimethyl tetrachloroterephthalate alone and in certain combinations. Proc. Northeast Weed Control Conf. 16:48–53.Google Scholar
8. Nash, R. G. and Jansen, L. L. 1973. Determining phytotoxic pesticide interactions in soil. J. Environ. Qual. 2:503–510.CrossRefGoogle Scholar
9. Rummens, F. H. A. 1975. An improved definition of synergistic and antagonistic effects. Weed Sci. 23:4–6.CrossRefGoogle Scholar
10. Tammes, P. M. L. 1964. Isoboles, a graphic representation of synergism in pesticides. Neth. J. Plant Pathol. 70:73–80.CrossRefGoogle Scholar