Principal component analysis and metroglyph of variation among sesame (Sesamum indicum L.) genotypes

Abstract

A study was carried out by using 45 genotypes of sesame at Seed Research and Technology Centre, Hyderabad during 2018 to evaluate the genetic variability, morphological clustering using Metroglyph and to identify the principle components having a major contribution to the total variation. Analysis of variance indicated appreciable variation among the genotypes for the traits. The genotypes Julang Sesame and NI8-8316 recorded the highest average performance for seed yield per plant and other yield components. The trait, seed yield per plant recorded the highest value for GCV and PCV followed by test weight. High heritability together with high values of genetic advance was showed by 1000 seed weight and seeds per individual pod. Principal component analysis (PCA) indicated three principle components with eigenvalue more than one and contributing 78 % towards the total variability of the population. Metroglyph analysis clustered the genotypes into six groups and group IV being the largest with 20 genotypes. Cluster VI characterized with high seed yield and number of seeds per pod comprised of three genotypes including Julang Sesame and NI8- 8316. The overall study indicated that genotypes Julang Sesame and NI8-8316 were superior in performance and could be utilized as parents in hybridization programs.

Keywords

• bi plot
• genetic variability
• metroglyph
• pca
• sesame