Nutritional Potential of Adzuki Bean Germplasm and Mining Nutri-Dense Accessions through Multivariate Analysis
The adzuki bean (<i>Vigna angularis</i>), known for its rich nutritional composition, holds significant promise in addressing food and nutritional security, particularly for low socioeconomic classes and the predominantly vegetarian and vegan populations worldwide. In this study, we asse...
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| Format: | Article |
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MDPI AG
2023-11-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/12/22/4159 |
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| author | Deepika D. D. Siddhant Ranjan Padhi Padmavati G. Gore Kuldeep Tripathi Ashvinkumar Katral Rahul Chandora G. J. Abhishek Vishal Kondal Rakesh Singh Rakesh Bharadwaj Kailash C. Bhatt Jai Chand Rana Amritbir Riar |
| author_facet | Deepika D. D. Siddhant Ranjan Padhi Padmavati G. Gore Kuldeep Tripathi Ashvinkumar Katral Rahul Chandora G. J. Abhishek Vishal Kondal Rakesh Singh Rakesh Bharadwaj Kailash C. Bhatt Jai Chand Rana Amritbir Riar |
| author_sort | Deepika D. D. |
| collection | DOAJ |
| description | The adzuki bean (<i>Vigna angularis</i>), known for its rich nutritional composition, holds significant promise in addressing food and nutritional security, particularly for low socioeconomic classes and the predominantly vegetarian and vegan populations worldwide. In this study, we assessed a total of 100 diverse adzuki bean accessions, analyzing essential nutritional compounds using AOAC’s official analysis procedures and other widely accepted standard techniques. Our analysis of variance revealed significant genotype variations for all the traits studied. The variability range among different traits was as follows: moisture: 7.5–13.3 g/100 g, ash: 1.8–4.2 g/100 g, protein: 18.0–23.9 g/100 g, starch: 31.0–43.9 g/100 g, total soluble sugar: 3.0–8.2 g/100 g, phytic acid: 0.65–1.43 g/100 g, phenol: 0.01–0.59 g/100 g, antioxidant: 11.4–19.7 mg/100 g GAE. Noteworthy accessions included IC341955 and EC15256, exhibiting very high protein content, while IC341957 and IC341955 showed increased antioxidant activity. To understand intertrait relationships, we computed correlation coefficients between the traits. Principal Component Analysis (PCA) revealed that the first four principal components contributed to 63.6% of the variation. Further, hierarchical cluster analysis (HCA) identified nutri-dense accessions, such as IC360533, characterized by high ash (>4.2 g/100 g) and protein (>23.4 g/100 g) content and low phytic acid (0.652 g/100 g). These promising compositions provide practical support for the development of high-value food and feed varieties using effective breeding strategies, ultimately contributing to improved global food security. |
| first_indexed | 2024-03-09T16:50:02Z |
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| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-09T16:50:02Z |
| publishDate | 2023-11-01 |
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| series | Foods |
| spelling | doaj.art-912a46efcfd941138585f57857e171502023-11-24T14:42:16ZengMDPI AGFoods2304-81582023-11-011222415910.3390/foods12224159Nutritional Potential of Adzuki Bean Germplasm and Mining Nutri-Dense Accessions through Multivariate AnalysisDeepika D. D.0Siddhant Ranjan Padhi1Padmavati G. Gore2Kuldeep Tripathi3Ashvinkumar Katral4Rahul Chandora5G. J. Abhishek6Vishal Kondal7Rakesh Singh8Rakesh Bharadwaj9Kailash C. Bhatt10Jai Chand Rana11Amritbir Riar12The Graduate School, ICAR-Indian Agricultural Research Institute, PUSA, New Delhi 110012, IndiaThe Graduate School, ICAR-Indian Agricultural Research Institute, PUSA, New Delhi 110012, IndiaICAR—National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, IndiaICAR—National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, IndiaThe Graduate School, ICAR-Indian Agricultural Research Institute, PUSA, New Delhi 110012, IndiaICAR—National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, IndiaThe Graduate School, ICAR-Indian Agricultural Research Institute, PUSA, New Delhi 110012, IndiaICAR—National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, IndiaICAR—National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, IndiaICAR—National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, IndiaICAR—National Bureau of Plant Genetic Resource, Pusa, New Delhi 110012, IndiaThe Alliance of Bioversity International & CIAT—India Office, New Delhi 110012, IndiaDepartment of International Cooperation, Research Institute of Organic Agriculture FiBL, 5070 Frick, SwitzerlandThe adzuki bean (<i>Vigna angularis</i>), known for its rich nutritional composition, holds significant promise in addressing food and nutritional security, particularly for low socioeconomic classes and the predominantly vegetarian and vegan populations worldwide. In this study, we assessed a total of 100 diverse adzuki bean accessions, analyzing essential nutritional compounds using AOAC’s official analysis procedures and other widely accepted standard techniques. Our analysis of variance revealed significant genotype variations for all the traits studied. The variability range among different traits was as follows: moisture: 7.5–13.3 g/100 g, ash: 1.8–4.2 g/100 g, protein: 18.0–23.9 g/100 g, starch: 31.0–43.9 g/100 g, total soluble sugar: 3.0–8.2 g/100 g, phytic acid: 0.65–1.43 g/100 g, phenol: 0.01–0.59 g/100 g, antioxidant: 11.4–19.7 mg/100 g GAE. Noteworthy accessions included IC341955 and EC15256, exhibiting very high protein content, while IC341957 and IC341955 showed increased antioxidant activity. To understand intertrait relationships, we computed correlation coefficients between the traits. Principal Component Analysis (PCA) revealed that the first four principal components contributed to 63.6% of the variation. Further, hierarchical cluster analysis (HCA) identified nutri-dense accessions, such as IC360533, characterized by high ash (>4.2 g/100 g) and protein (>23.4 g/100 g) content and low phytic acid (0.652 g/100 g). These promising compositions provide practical support for the development of high-value food and feed varieties using effective breeding strategies, ultimately contributing to improved global food security.https://www.mdpi.com/2304-8158/12/22/4159underutilized legumenutritional compositionvariabilitymultivariate analysisANOVA |
| spellingShingle | Deepika D. D. Siddhant Ranjan Padhi Padmavati G. Gore Kuldeep Tripathi Ashvinkumar Katral Rahul Chandora G. J. Abhishek Vishal Kondal Rakesh Singh Rakesh Bharadwaj Kailash C. Bhatt Jai Chand Rana Amritbir Riar Nutritional Potential of Adzuki Bean Germplasm and Mining Nutri-Dense Accessions through Multivariate Analysis Foods underutilized legume nutritional composition variability multivariate analysis ANOVA |
| title | Nutritional Potential of Adzuki Bean Germplasm and Mining Nutri-Dense Accessions through Multivariate Analysis |
| title_full | Nutritional Potential of Adzuki Bean Germplasm and Mining Nutri-Dense Accessions through Multivariate Analysis |
| title_fullStr | Nutritional Potential of Adzuki Bean Germplasm and Mining Nutri-Dense Accessions through Multivariate Analysis |
| title_full_unstemmed | Nutritional Potential of Adzuki Bean Germplasm and Mining Nutri-Dense Accessions through Multivariate Analysis |
| title_short | Nutritional Potential of Adzuki Bean Germplasm and Mining Nutri-Dense Accessions through Multivariate Analysis |
| title_sort | nutritional potential of adzuki bean germplasm and mining nutri dense accessions through multivariate analysis |
| topic | underutilized legume nutritional composition variability multivariate analysis ANOVA |
| url | https://www.mdpi.com/2304-8158/12/22/4159 |
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