alexa Abstract | Genetic Diversity and Classification of Wild Arum (Araceae)Species Using Morphological Characters in Iran

Electronic Journal of Biology
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)


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.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Leila Joudi Iraj Mehregan Mostafa Assadi Davoud Farajzadeh


Arum, Cluster analysis, Principal component analysis, Biology

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us