کریم فرمان پور کلالق - Department of Horticultural Sciences, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, P. O. Box: ۱۷۹, Ardabil, Iran.
مهدی محب الدینی - Department of Horticultural Sciences, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, P. O. Box: ۱۷۹, Ardabil, Iran.
علیرضا قنبری - Department of Horticultural Sciences, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, P. O. Box: ۱۷۹, Ardabil, Iran.
اسماعیل چمنی - Department of Horticultural Sciences, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, P. O. Box: ۱۷۹, Ardabil, Iran.
ملیحه عرفانی - Department of Horticultural Sciences, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, P. O. Box: ۱۷۹, Ardabil, Iran.

Cornelian cherry is one of the most important small fruits in Arasbaran region, with wide applications in medicines and food products. In this study, the relationship among ۲۸ quantitative and qualitative traits related to fruit, leaf, tree, and flower of ۲۰ cornelian cherry genotypes was evaluated. Significant positive as well as negative correlations were found among some important quantitative and qualitative traits. Multivariate analysis method such as factor analysis was used to assign the number of main factors. It showed that the characteristics of fruit, leaf, petiole, and flower were the main traits. Effective traits were divided into ۱۰ factors explaining ۸۷.۸۵% of the total variation. Factor loading values higher than ۰.۶ were considered significant. According to the cluster analysis of traits based on Squared Euclidean distance, all genotypes were divided into two main branches, but with decreasing of this distance from ۲۵ to ۵, the genotypes were placed into four main sub-clusters. Cluster analysis revealed that the traits of fruit length and its diameter, fruit stalk length and its diameter, fruit taste and color, leaf length and width, petiole length and its diameter, as well as pit length and its diameter were effective for clustering the genotypes.

Arasbaran, Cluster analysis, Cornelian cherry, Correlation, Factor analysis