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Research Article Open access CC BY 4.0

Genetic Diversity Analysis and Molecular Diversity in Greengram (Vigna radiata (L.) Wilczek) Genotypes Using SSR Markers

S. Shanmukha Saikumar, P. S. Shanmugavadivel, Meenal Rathore, Gaibriyal M. Lal, G. Gayathri

International Journal of Plant & Soil Science · pp. 2012–2026 · Published 12 Sep 2023

10.9734/ijpss/2023/v35i193753

Abstract

A study on the genetic and molecular diversity of 40 genotypes of Greengram was conducted using SSR markers. The experimental material contained significant genetic diversity; nevertheless, for all yield-related and yield-attributing features, phenotypic coefficient of variation exceeded genotypic coefficient of variation. The genotypes LGG 574 (8.80), PDM 139 (8.34), and Pant Mung 6 had the highest seed yields (7.78). The highest observed cluster distances between clusters 5 and 6 (472.88) and clusters 4 and 5 (432.89). Among all the factors PC 1 to PC 10, the PC 1 (19.99) accounted maximum proportion of variability in the set of all variables and remaining components accounted for progressively lesser and lesser amount of variation. The first six principal components (PC-1 to PC-6) with eigen values of 2.94, 2.62, 2.18, 1.40, 1.28, and 0.86, respectively, accounted for 86.95% of the total variance for all the qualities, according to principal component analysis. The genotypes 23, 32, 33, and 21 were spread out relatively far from other genotypes in the scatter plot, suggesting that they might be different from other genotypes. PIC values of 10 SSR loci, where the VR 86 marker produced the greatest PIC Value percentage and highest heterozygosity percent. Fixation index is ranged from 1.000 to -0.076. In comparison to Cluster II, III, IV, and V, Cluster I has the most genotypes (25), and the use of SSR markers in this work to differentiate between genotypes was made possible by the high polymorphism information richness of this cluster.

Greengram GCV PCV SSR markers PCA genetic diversity molecular diversity

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