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Abstract
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Assessment of genetic diversity is primarily useful
to classification of plant species. In this study, a
multivariate statistical analysis was performed on
morphological characters of Arum L. species in Iran.
Totally, 29 qualitative and quantitative morphological
characters of species were evaluated. Cluster
analyses by ward method classified the genotypes
based on morphological traits in three groups.
Cluster 1 had 1 genotype. Cluster 2 had 2 genotypes
and cluster 3 had 2 groups. Dendrogram of Genetic
Relationships among Arum species which was
constructed by the UPGMA method demonstrated
that 4 main groups existed in the collection at the
highest level of hierarchy (0.34). Using the results from
morphological studies, differential characteristics
were obtained in the principal component analysis.
The result of principal component analyses introduced
two principal components with eigenvalue more than
one which contributed 99.075% of the total variability.
Classification of the cluster analysis was confirmed
by principal component analysis and good variety
of different traits to species based on similarities
and differences have separated. In conclusion,
morphological traits can identify and classify species
of this genus as a systematic application.
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