Genetic characterization of mung bean (Vigna radiata) genotypes based on morphological traits and SSR markers

The genetic diversity among 117 mung bean (Vigna radiata) accessions was assessed using eight morphological traits and 70 Simple Short Repeat (SSR) markers. These accessions were grown in an augmented design during the Summer and Kharif seasons of 2017. The mean data from the two seasons were subjected to correlation, principal component and cluster analyses. Plant height (r = 0.527), the number of pods in a plant (r = 0.717) and the number of seeds in a pod (r = 0.241) showed a highly significant positive relationship with individual plant yield. Principal Component Analysis (PCA) revealed that the first three components explained 74.32 % of the total variation, with eigenvalues greater than one. Principal Component 1 (PC1) accounted for the maximum variation in traits, including days to first flowering (loading = 0.773), days to 50 % flowering (0.740), number of pods in a plant (0.708) and plant height (0.653). Morphological trait-based clustering grouped the genotypes into two major clusters. Further, the 117 mung bean accessions were analyzed using 70 SSR markers. Of the 70 SSRs, thirteen were polymorphic and generated 55 alleles, averaging 4.23 alleles per locus. The polymorphic information content (PIC) values ranged between 0.52 and 0.79, averaging 0.71. Analysis of genotypic data led to the classification of the accessions into three clearly defined clusters. The findings of the present study were expected to contribute to future mung bean breeding programs aimed at developing trait-specific genotypes.

Authors

Institutions

Publication Details

Journal
Plant Science Today
Published
2025-08-29
DOI
https://doi.org/10.14719/pst.9058
Primary Topic
Agricultural pest management studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic characterization of mung bean (Vigna radiata) genotypes based on morphological traits and SSR markers

Adhimoolam Karthikeyan, N. Senthil, Manickam Dhasarathan, S. Juliet Hepziba et al.
Plant Science Today
Agricultural pest management studies
article

Genetic characterization of mung bean (Vigna radiata) genotypes based on morphological traits and SSR markers

Adhimoolam Karthikeyan, N. Senthil, Manickam Dhasarathan, S. Juliet Hepziba, Santhi Madhavan Samyuktha, Malarvizhi Devarajan
article en

Abstract

The genetic diversity among 117 mung bean (Vigna radiata) accessions was assessed using eight morphological traits and 70 Simple Short Repeat (SSR) markers. These accessions were grown in an augmented design during the Summer and Kharif seasons of 2017. The mean data from the two seasons were subjected to correlation, principal component and cluster analyses. Plant height (r = 0.527), the number of pods in a plant (r = 0.717) and the number of seeds in a pod (r = 0.241) showed a highly significant positive relationship with individual plant yield. Principal Component Analysis (PCA) revealed that the first three components explained 74.32 % of the total variation, with eigenvalues greater than one. Principal Component 1 (PC1) accounted for the maximum variation in traits, including days to first flowering (loading = 0.773), days to 50 % flowering (0.740), number of pods in a plant (0.708) and plant height (0.653). Morphological trait-based clustering grouped the genotypes into two major clusters. Further, the 117 mung bean accessions were analyzed using 70 SSR markers. Of the 70 SSRs, thirteen were polymorphic and generated 55 alleles, averaging 4.23 alleles per locus. The polymorphic information content (PIC) values ranged between 0.52 and 0.79, averaging 0.71. Analysis of genotypic data led to the classification of the accessions into three clearly defined clusters. The findings of the present study were expected to contribute to future mung bean breeding programs aimed at developing trait-specific genotypes.

Plant Science TodayVol. 12(sp3)
Tamil Nadu Agricultural University (IN), Institut des Sciences des Plantes de Montpellier (FR)
Openalex Percentile: Top 83%
Agricultural pest management studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Genetic characterization of mung bean (Vigna radiata) genotypes based on morphological traits and SSR markers — Adhimoolam Karthikeyan, N. Senthil, et al. · Plant Science Today (2025) | TGRS Research Map | TGRS