Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes

Forty mungbean genotypes were evaluated for fourteen quantitative traits, planted in Randomized Complete Block Design with three replications. Mahalanobis' generalised distance D2 was used to assess the character data and Principal Component Analysis for estimating genetic diversity and identi...

Full description

Bibliographic Details
Main Authors: Shivangi Rahangdale, J P Lakhani, S K Singh, Akash Barela, Pratik Kumar, S S Prajapati
Format: Article
Language:English
Published: Action for Sustainable Efficacious Development and Awareness 2023-04-01
Series:Environment Conservation Journal
Subjects:
Online Access:https://journal.environcj.in/index.php/ecj/article/view/1547
_version_ 1797677596656271360
author Shivangi Rahangdale
J P Lakhani
S K Singh
Akash Barela
Pratik Kumar
S S Prajapati
author_facet Shivangi Rahangdale
J P Lakhani
S K Singh
Akash Barela
Pratik Kumar
S S Prajapati
author_sort Shivangi Rahangdale
collection DOAJ
description Forty mungbean genotypes were evaluated for fourteen quantitative traits, planted in Randomized Complete Block Design with three replications. Mahalanobis' generalised distance D2 was used to assess the character data and Principal Component Analysis for estimating genetic diversity and identification of superior mungbean genotypes. Following Tocher's technique, the 40 genotypes were divided into 7 clusters in accordance with their genetic distance. Among them four clusters were polygenotypic and three were monogenotypic. The genotypes of cluster IV and VII showed highest (40.51) inter cluster distance followed by cluster III and VII (39.04). Cluster V has been discovered to have the largest intra-cluster distance. In order to increase the genetic diversity of Vigna radiata, genotypes from these clusters may be crossed. Based on Principal Component Analysis results, 5 PCs explained 75.87% of the variation among the 14 parameters and had eigen values greater than unit. Only six genotypes—TJM-37, TJM-134, TJM-140, TJM-235, Shikha, and PM-1632—contained with favourable yield and quality associated PCs, and had outstanding remark for yield traits—out of all genotypes contributing their existence in more than one PC with high PC score. These lines may be used in hybridization programmes to transmit desirable features, such as high yield and high quality, to recipient mungbean genotypes, resulting in the creation of promising cultivars.
first_indexed 2024-03-11T22:47:34Z
format Article
id doaj.art-220ecac9a559419ebd8bba8e1b54fce7
institution Directory Open Access Journal
issn 0972-3099
2278-5124
language English
last_indexed 2024-03-11T22:47:34Z
publishDate 2023-04-01
publisher Action for Sustainable Efficacious Development and Awareness
record_format Article
series Environment Conservation Journal
spelling doaj.art-220ecac9a559419ebd8bba8e1b54fce72023-09-22T05:09:45ZengAction for Sustainable Efficacious Development and AwarenessEnvironment Conservation Journal0972-30992278-51242023-04-0124310.36953/ECJ.15472494Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes Shivangi Rahangdale0J P Lakhani1S K Singh2Akash Barela3Pratik Kumar4S S Prajapati5Department of Plant Breeding & Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur (M.P.), IndiaJawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur (M.P.), IndiaDepartment of Plant Breeding & Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur (M.P.), IndiaDepartment of Plant Breeding & Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur (M.P.), India.Department of Plant Breeding & Genetics, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur (M.P.), IndiaDepartment of Plant Breeding & Genetics Forty mungbean genotypes were evaluated for fourteen quantitative traits, planted in Randomized Complete Block Design with three replications. Mahalanobis' generalised distance D2 was used to assess the character data and Principal Component Analysis for estimating genetic diversity and identification of superior mungbean genotypes. Following Tocher's technique, the 40 genotypes were divided into 7 clusters in accordance with their genetic distance. Among them four clusters were polygenotypic and three were monogenotypic. The genotypes of cluster IV and VII showed highest (40.51) inter cluster distance followed by cluster III and VII (39.04). Cluster V has been discovered to have the largest intra-cluster distance. In order to increase the genetic diversity of Vigna radiata, genotypes from these clusters may be crossed. Based on Principal Component Analysis results, 5 PCs explained 75.87% of the variation among the 14 parameters and had eigen values greater than unit. Only six genotypes—TJM-37, TJM-134, TJM-140, TJM-235, Shikha, and PM-1632—contained with favourable yield and quality associated PCs, and had outstanding remark for yield traits—out of all genotypes contributing their existence in more than one PC with high PC score. These lines may be used in hybridization programmes to transmit desirable features, such as high yield and high quality, to recipient mungbean genotypes, resulting in the creation of promising cultivars. https://journal.environcj.in/index.php/ecj/article/view/1547Cluster analysisGreengramMahalanobis D2PCATocher method
spellingShingle Shivangi Rahangdale
J P Lakhani
S K Singh
Akash Barela
Pratik Kumar
S S Prajapati
Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes
Environment Conservation Journal
Cluster analysis
Greengram
Mahalanobis D2
PCA
Tocher method
title Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes
title_full Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes
title_fullStr Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes
title_full_unstemmed Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes
title_short Multivariate analysis for study of genetic divergence in mungbean [Vigna radiata (L.) Wilczek] genotypes
title_sort multivariate analysis for study of genetic divergence in mungbean vigna radiata l wilczek genotypes
topic Cluster analysis
Greengram
Mahalanobis D2
PCA
Tocher method
url https://journal.environcj.in/index.php/ecj/article/view/1547
work_keys_str_mv AT shivangirahangdale multivariateanalysisforstudyofgeneticdivergenceinmungbeanvignaradiatalwilczekgenotypes
AT jplakhani multivariateanalysisforstudyofgeneticdivergenceinmungbeanvignaradiatalwilczekgenotypes
AT sksingh multivariateanalysisforstudyofgeneticdivergenceinmungbeanvignaradiatalwilczekgenotypes
AT akashbarela multivariateanalysisforstudyofgeneticdivergenceinmungbeanvignaradiatalwilczekgenotypes
AT pratikkumar multivariateanalysisforstudyofgeneticdivergenceinmungbeanvignaradiatalwilczekgenotypes
AT ssprajapati multivariateanalysisforstudyofgeneticdivergenceinmungbeanvignaradiatalwilczekgenotypes