CHARACTERIZATION OF PLANT STRESS SYNDROME BY SOME CORRELATIONS OF BIOCHEMICAL VARIABLES

Manifestations of plant stress syndromes have been tracked by the regressions of enzyme activities and metabolite concentrations, respectively. Maintaining the linear character of the regressions, the stress has been established to induce significant alterations in the parameters of the regression. With application of covariance analysis (ANCOVA), significant deviations or identities can be interpreted between the physiological states symbolized by state dependent regressions. Since covariance analysis is able to avoid the breaking effect of standard deviation on comparability of individual variables, it is possible to detect physiological state alteration in a much more sensitive manner by comparing the linear correlations of the variables.