Determination of Variation Between Some Alfalfa (Medicago sativa L.) Genotypes by Principal Component and Clustering Analysis

Abstract

The aim of this study is to evaluate 26 alfalfa population in terms of 21 characters and to determine morphology of kinship degrees by using NTSYS 2.1 statistical software based correlation matrix and unweigted pair group method arithmetic average (UPGMA). The study carried in trial area of Batı Akdeniz Agricultural Research Institute in 2013-2014. As a result of the clustering analysis; correlation coefficients among pairs ranged from 50% to 98%. The average similarity coefficient of the genotypes was r= 0.50 and five subgroup were detected under the two main groups. Six basic component axes were obtained that defining 84.33% of the total variation of genotypes.

Keywords

• Alfalfa
• cluster
• principal component
• relationship