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1 October 2011 Nonlinear Regression Analysis of Herbicide Absorption Studies
Andrew R. Kniss, Joseph D. Vassios, Scott J. Nissen, Christian Ritz
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Although foliar herbicide absorption has been studied intensively, there is currently no standardized method for data analysis when evaluating herbicide absorption over time. Most peer-reviewed journals require the treatment structure of data be incorporated in the analysis; however, many herbicide absorption studies published in the past 5 yr do not account for the time structure of the experiment. Herbicide absorption studies have been presented in a variety of ways, making it difficult to compare results among studies. The objective of this article is to propose possible nonlinear models to analyze herbicide absorption data and to provide a stepwise framework so that researchers may standardize the analysis method in this important research area. Asymptotic regression and rectangular hyperbolic models with similar parameterizations are proposed, so that the maximum herbicide absorption and absorption rate may be adequately modeled and statistically compared among treatments. Adoption of these models for herbicide absorption analysis over time will provide a standardized method making comparison of results within and among studies more practical.

Weed Science Society of America
Andrew R. Kniss, Joseph D. Vassios, Scott J. Nissen, and Christian Ritz "Nonlinear Regression Analysis of Herbicide Absorption Studies," Weed Science 59(4), 601-610, (1 October 2011).
Received: 11 March 2011; Accepted: 1 June 2011; Published: 1 October 2011
Asymptotic regression
exponential rise to maximum
nonlinear regression
rectangular hyperbola
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