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Computerized image analysis in Fusarium taxonomy

Published online by Cambridge University Press:  18 April 2001

Sven GOTTWALD ,
Christoph U. GERMEIER  and
Werner RUHMANN
Sven GOTTWALD
Affiliation:
Justus Liebig Universität Gießen, Institut für Pflanzenbau und Pflanzenzüchtung II, Professur für organischen Landbau Karl-Glöckner-Str. 21C, D-35394 Gießen, Germany
Christoph U. GERMEIER
Affiliation:
Justus Liebig Universität Gießen, Institut für Pflanzenbau und Pflanzenzüchtung II, Professur für organischen Landbau Karl-Glöckner-Str. 21C, D-35394 Gießen, Germany Present address: Bundesanstalt für Züchtungsforschung – Genbank, Bundesallee 50, D-38116 Braunschweig, Germany.
Werner RUHMANN
Affiliation:
IMATEC Elektronische Bildanalysesysteme GmBH, Geschäftsstelle Sauerlach, Mühlweg 2b, D-82054 Sauerlach, Germany
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Abstract

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.

Type
Research Article
Information
Mycological Research , Volume 105 , Issue 2 , February 2001 , pp. 206 - 214
Copyright
© The British Mycological Society 2001

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