This paper describes digital image recording and measurement procedures of Fusarium species macroconidia with reference strains of
F. avenaceum, F. culmorum, F. graminearum, F. oxysporum, F. sambucinum and Microdochium nivale. Computerized taxonomic recognition
of the most important Fusarium species occuring on cereals was achieved by statistical tests based on morphometric parameters from
macroconidia (numerical taxonomy). A first grouping resulted from Brandt-Snedecor contingency tests (χ2) indicating different
frequency distributions of macroconidia with various numbers of septa. For discrimination and ranking within these groups by
clustering procedures, analysis of variance and multiple comparison of means, deviation from circular (circular form factor) was most
suitable out of 12 morphometric parameters tested on macroconidia of the most frequent septation classes.