Abstract:
:The traditional method for determining compartmental analysis parameters relies on a visual selection of data points to be used for regression of data from each cellular compartment. This method is appropriate when the compartments are kinetically discrete and are easily discernible. However, where treatment effects on compartment parameters are being evaluated, a more objective method for determining initial parameters is desirable.Three methods were examined for determining initial isotopic contents and half-times of (86)Rb elution from cellular compartments using theoretical data with known parameters. Experimental data from roots of Douglas fir (Pseudotsuga menziesii [Mirb.] Franco) and barley (Hordeum vulgare L.) intact seedlings were also used. The three methods were a visually assisted, linear regression on data of semilog plot of isotope elution versus time, a microcomputer-assisted, linear regression on semilog plot where maximization of the square of the correlation coefficient (r(2)) was the criterion to determine data points needed for each regression and a mainframe computer-assisted, direct nonlinear regression on elution data using a model of the sum of three exponential decay functions. The visual method resulted in the least accurate estimates of compartmental analysis parameters. The microcomputer-assisted and nonlinear regression methods calculated the parameters equally well.
journal_name
Plant Physioljournal_title
Plant physiologyauthors
Rygiewicz PT,Bledsoe CS,Glass ADdoi
10.1104/pp.76.4.913subject
Has Abstractpub_date
1984-12-01 00:00:00pages
913-7issue
4eissn
0032-0889issn
1532-2548journal_volume
76pub_type
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