Morphometric relationships of some species of the genus Rosa (Rosaceae) in Iran

Subject Areas : Journal of Plant Ecophysiology

Leila  Mirzaei ¹ (باشگاه پژوهشگران جوان و نخبگان، واحد ارومیه، دانشگاه آزاد اسلامی، ارومیه، ایران)
Leila  Jodi ² (عضو هیِأت علمی، واحد شبستر، دانشگاه آزاد تبریز، شبستر، ایران)

Received: 2015-12-22 Accepted : 2018-01-14 Published : 2017-11-22

Keywords: principal component analysis, Clustering, Cluster analysis, Rosa, the family Rosaceae,

Abstract :

Multivariate analysis on morphological species Rosa L. in Iran. In total, 12 species were poured on quantitative and qualitative characteristics. Statistical analysis was performed using SPSS version 18 different methods of multivariate statistical analysis, including cluster analysis (Ward metod) and ordination (PCA) was used. Using the results of studies and morphological diagnostic characters obtained in the principal component analysis, two components were introduced in the first component, plant height and size and type of spine, has a high rate and positive traits. The classification of cluster analysis and principal component analysis was confirmed by the good traits and diversity of ROSA species based on similarities and differences have separated and morphological traits can identify and classify Rosa species of this genus have systematic application. MMMM MMM MMMM MM MKA SAK SP QO Q[PQ][PLKWQSKN WD SDL;ASl; KM JA KD NWJ DA LDL adS[ QPdk iw jeo ifhe wjdp ';lw p okw eidj ewjk dlw qwqkklk

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