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Research Article Open access CC BY 4.0

Molecular Characterization and Diversity Analysis of Green Gram [Vigna radiate (L.) Wilczek] by Using SSR Markers

Angari Nikhil, Lalam Gangadhar, Meenal Rathore, Khela Ram Soren, Gaibriyal M. Lal

International Journal of Plant & Soil Science · pp. 1893–1902 · Published 9 Sep 2023

10.9734/ijpss/2023/v35i193741

Abstract

Molecular characterization was done for Green gram genotypes using SSR markers. The 14 green gram genotypes were clustered using ward method and squared Euclidean distance using nine SSR markers. As per dissimilarity coefficient, genotypes were grouped into three clusters namely Cluster I which consisted of 6 genotypes and divided into two sub Clusters IA consist of  IPM2-3, IPM-99-125, PUSA-0672, DGGV-2 and sub cluster IB consists of MH-2-5, HUM-16 Cluster II and Cluster III, Cluster II consisted of 4 genotypes  that was further divided into  three sub clusters IIA consisted of MH-3-18, PUSA VSHAL and sub cluster IIB consisted of one genotype namely PANT MUNG-5, sub cluster IIC had PUSA-9531. Cluster III consisted of 4 genotypes divided into two sub clusters IIIA consists of SML-668, SML-832 and sub cluster IIIB consisted of IPMD-604-1-7, OBGG-58. Polymorphic information content values (PIC) ranged from 0.000 to 0.704 per locus with an Average value of  0.519. Among 9 markers SSR VR91 generated highest percent of PIC value. Based  on the polymorphic band results PCA was performed for 9 SSR markers for 14 Green gram genotypes among all the factors PC1 TO PC9, the PC1 (25.872) accounted for maximum proportion of variability in the set of all variables and PC9 (0.372) accounted for progressively lesser amount of variability. It can be concluded from the above results that the highest Eigen value for PC1 (2.328) and the least is PC9 with (0.033) were registered.

Molecular characterization green gram PIC SSR markers

Cited by 2

Morphological and molecular (SSRs) characterization of different diverse genotypes of blackgram (Vigna mungo L.)

Radheshyam Kumawat, Sanjeev Kumar, Susheel Sharma · Genetic Resources and Crop Evolution · 2024

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