Characterization of plant stress syndrome by some correlations of biochemical variables

Z. Németh, Mónika POzsgai-Harsányi, E. Stefanovits-Banyai, Éva Sárdi

Research output: Article

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)141-144
Number of pages4
JournalCereal Research Communications
Volume37
Issue numberSUPPL.1
DOIs
Publication statusPublished - 2009

Fingerprint

plant stress
physiological state
Linear Models
enzyme activity
metabolites
Enzymes

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Genetics
  • Physiology

Cite this

Characterization of plant stress syndrome by some correlations of biochemical variables. / Németh, Z.; POzsgai-Harsányi, Mónika; Stefanovits-Banyai, E.; Sárdi, Éva.

In: Cereal Research Communications, Vol. 37, No. SUPPL.1, 2009, p. 141-144.

Research output: Article

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