Abstract
Reversed-phase high-performance liquid chromatography was used to identify wheat cultivars. A collection of 59 chromatograms of the gliadin fractions of samples from 18 different cultivars was analysed through multi-dimensional statistical methods. The discrimination quality of the different studied makes possible a classification of the chromatograms obtained. The great variability of the chromatographic profiles and the correct repeatability of the technique used indicate that multi-dimensional analysis applied to the treatment of reversed-phase chromatograms is a reliable and relevant method for cultivar identification.
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