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Nonlinear Regression Analysis of Herbicide AbsorptionStudies

Published online by Cambridge University Press:  20 January 2017

Andrew R. Kniss ,
Joseph D. Vassios ,
Scott J. Nissen  and
Christian Ritz
Andrew R. Kniss*
Affiliation:
Department of Plant Sciences, University of Wyoming, Laramie, WY 82071
Joseph D. Vassios
Affiliation:
Department of Bioagricultural Sciences and Pest Management, Colorado State University, Ft. Collins, CO 80523
Scott J. Nissen
Affiliation:
Department of Bioagricultural Sciences and Pest Management, Colorado State University, Ft. Collins, CO 80523
Christian Ritz
Affiliation:
University of Copenhagen, Department of Basic Sciences & Environment, DK-1871 Frederiksberg C, Denmark
*
Corresponding author's E-mail: akniss@uwyo.edu
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Abstract

Although foliar herbicide absorption has been studied intensively, there iscurrently no standardized method for data analysis when evaluating herbicideabsorption over time. Most peer-reviewed journals require the treatmentstructure of data be incorporated in the analysis; however, many herbicideabsorption studies published in the past 5 yr do not account for the timestructure of the experiment. Herbicide absorption studies have beenpresented in a variety of ways, making it difficult to compare results amongstudies. The objective of this article is to propose possible nonlinearmodels to analyze herbicide absorption data and to provide a stepwiseframework so that researchers may standardize the analysis method in thisimportant research area. Asymptotic regression and rectangular hyperbolicmodels with similar parameterizations are proposed, so that the maximumherbicide absorption and absorption rate may be adequately modeled andstatistically compared among treatments. Adoption of these models forherbicide absorption analysis over time will provide a standardized methodmaking comparison of results within and among studies more practical.

Keywords

Asymptotic regressionexponential rise to maximumrectangular hyperbolanonlinear regression

Information

Type
Special Topics
Information
Weed Science , Volume 59 , Issue 4 , December 2011 , pp. 601 - 610
Copyright
Copyright © Weed Science Society of America 

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References

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