Paper Information

Journal:   PLANT ECOPHYSIOLOGY (ARSANJAN BRANCH)   fall 2017 , Volume 9 , Number 30 #M00586; Page(s) 225 To 232.
 
Paper: 

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

 
 
Author(s):  MIRZAEE L., Joudi L.
 
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Abstract: 
In this study, twelve quantitative and qualitative morphological traits were used to determine the relationships among several species of wild Rose (Rosa L. ). To determine the relationship of the morphological characteristics species multivariate analysis were used. Statistical analysis was performed using SPSS version 18 and different methods of multivariate statistical analysis including cluster analysis (Ward) and ordination (PCA) was used and the results of morphological studies and diagnostic characters obtained in the analysis. Principal component analysis was introduced two main components, in which, in the first component, plant height, size and condition of the plant thorns, has a high rate and positive coefficients. Results grouped by Cluster Analysis (CA) were well correlated with the results of principal components analysis and a variety of different traits based on the similarities and differences between species are well separated from each other and this could help identify and classify morphological different species of this genus in systematic application.
 
Keyword(s): Cluster analysis,clustering,principal component analysis,Rosaceae,Rosa
 
References: 
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