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Journal of Food Legumes
Year : 2023, Volume : 36, Issue : 1
First page : ( 23) Last page : ( 31)
Print ISSN : 0970-6380. Online ISSN : 0976-2434.
Article DOI : 10.59797/jfl.v36.i1.125

Biochemical characterization and multivariate analysis of different genotypes of mungbean (Vigna radiata (L.) R. wilczek)

Desai Krishna, Modi NR*

Department of Botany, Bioinformatics and Climate Change Impacts Management, Gujarat University, Ahmedabad- 380 009, Gujarat, India

*E-mail: nrmodi@gujaratuniversity.ac.in

Online published on 20 November, 2023.

Abstract

Mungbean is an important short-duration annual crop primarily grown for food and fodder purposes in Asian countries. Present investigation aimed to explore the biochemical diversity by conducting quantitative phytochemical tests including total phenol, flavonoid, tannin, cardiac glycosides and alkaloid content and to check the antioxidant potential of leaf, stem, pod and seed samples of 26 mungbean genotypes were sown in randomized block design during June to August, 2021 with three replications under similar agronomical conditions. Significant variations were observed in genotypes with respect to quantification assays and plant parts. A strong positive correlation was observed between phenol content and antioxidant potential, and between flavonoid content and glycoside content. Moreover, multivariate approaches including PCA and HCA were performed to characterize, evaluate and categorize mungbean genotypes based on similarities and dissimilarities among them. A first four PCs accounted 90.47% of cumulative variance and loading plot suggested significant contribution of all variables to total variance of PC1 and PC2. Cluster analysis distinguished highly variable genotypes as S-3, S-5, S-6, GM-6, SKNM-1608, SKNM-1801, SKNM-1808 and SKNM- 1809, and all of them were found to be rich in bioactive constitution. These genotypes can be recommended for use as parents in future plant breeding programs, and can also be used in selecting prominent functional mungbean landraces for daily diet purposes.

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Keywords

Antioxidant activity, Biochemical characterization, Hierarchical luster analysis, Principal component analysis.

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