Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)

Understanding the nutritional diversity in Perilla (Perilla frutescens L.) is essential for selecting and developing superior varieties with enhanced nutritional profiles in the North Eastern Himalayan (NEH) region of India. In this study, we assessed the nutritional composition of 45 diverse perill...

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Main Authors: Kaur, Simardeep, Godara, Samarth, Singh, Naseeb, Kumar, Amit, Pandey, Renu, Adhikari, Sneha, Jaiswal, Sandeep, Singh, Sanjeev Kumar, Rana, Jai Chand, Bhardwaj, Rakesh, Singh, Binay Kumar, Riar, Amritbir
Format: Journal Article
Language:Inglés
Published: Springer Science+Business Media 2024
Subjects:
Online Access:https://hdl.handle.net/10568/155496
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author Kaur, Simardeep
Godara, Samarth
Singh, Naseeb
Kumar, Amit
Pandey, Renu
Adhikari, Sneha
Jaiswal, Sandeep
Singh, Sanjeev Kumar
Rana, Jai Chand
Bhardwaj, Rakesh
Singh, Binay Kumar
Riar, Amritbir
author_browse Adhikari, Sneha
Bhardwaj, Rakesh
Godara, Samarth
Jaiswal, Sandeep
Kaur, Simardeep
Kumar, Amit
Pandey, Renu
Rana, Jai Chand
Riar, Amritbir
Singh, Binay Kumar
Singh, Naseeb
Singh, Sanjeev Kumar
author_facet Kaur, Simardeep
Godara, Samarth
Singh, Naseeb
Kumar, Amit
Pandey, Renu
Adhikari, Sneha
Jaiswal, Sandeep
Singh, Sanjeev Kumar
Rana, Jai Chand
Bhardwaj, Rakesh
Singh, Binay Kumar
Riar, Amritbir
author_sort Kaur, Simardeep
collection Repository of Agricultural Research Outputs (CGSpace)
description Understanding the nutritional diversity in Perilla (Perilla frutescens L.) is essential for selecting and developing superior varieties with enhanced nutritional profiles in the North Eastern Himalayan (NEH) region of India. In this study, we assessed the nutritional composition of 45 diverse perilla germplasm collected from five NEH states using standard protocols and advanced analytical techniques. Significant variability was observed in moisture (0.39–11.67%), ash (2.59–7.13%), oil (28.65–74.20%), protein (11.05–23.15%), total soluble sugars (0.34–3.67%), starch (0.01–0.55%), phenols (0.03–0.87%), ferric reducing antioxidant power (0.45–1.36%), palmitic acid (7.06–10.75%), stearic acid (1.96–2.29%), oleic acid (8.11–13.31%), linoleic acid (15.18–22.74%), and linolenic acid (55.47–67.07%). Similarly, significant variability in mineral content (ppm) was also observed for aluminium, calcium, cobalt, chromium, copper, iron, potassium, magnesium, manganese, molybdenum, sodium, nickel, phosphorus, and zinc. Multivariate analyses, including hierarchical clustering analysis (HCA) and principal component analysis (PCA), revealed the enriched nutritional diversity within the germplasm. Correlation analysis indicated significant positive and negative relationships between nutritional parameters, indicating potential biochemical and metabolic interactions present in the perilla seeds. TOPSIS-based ranking identified promising genotypes for functional foods, pharmaceuticals, and nutritional applications. This study provides a first in-depth report of the nutritional composition and diversity of perilla germplasm in the NEH region, thus aiding in the identification of superior varieties for food and nutritional diversification and security.
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spelling CGSpace1554962024-11-15T08:52:58Z Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.) Kaur, Simardeep Godara, Samarth Singh, Naseeb Kumar, Amit Pandey, Renu Adhikari, Sneha Jaiswal, Sandeep Singh, Sanjeev Kumar Rana, Jai Chand Bhardwaj, Rakesh Singh, Binay Kumar Riar, Amritbir nutrition perilla frutescens perilla multi-variate Understanding the nutritional diversity in Perilla (Perilla frutescens L.) is essential for selecting and developing superior varieties with enhanced nutritional profiles in the North Eastern Himalayan (NEH) region of India. In this study, we assessed the nutritional composition of 45 diverse perilla germplasm collected from five NEH states using standard protocols and advanced analytical techniques. Significant variability was observed in moisture (0.39–11.67%), ash (2.59–7.13%), oil (28.65–74.20%), protein (11.05–23.15%), total soluble sugars (0.34–3.67%), starch (0.01–0.55%), phenols (0.03–0.87%), ferric reducing antioxidant power (0.45–1.36%), palmitic acid (7.06–10.75%), stearic acid (1.96–2.29%), oleic acid (8.11–13.31%), linoleic acid (15.18–22.74%), and linolenic acid (55.47–67.07%). Similarly, significant variability in mineral content (ppm) was also observed for aluminium, calcium, cobalt, chromium, copper, iron, potassium, magnesium, manganese, molybdenum, sodium, nickel, phosphorus, and zinc. Multivariate analyses, including hierarchical clustering analysis (HCA) and principal component analysis (PCA), revealed the enriched nutritional diversity within the germplasm. Correlation analysis indicated significant positive and negative relationships between nutritional parameters, indicating potential biochemical and metabolic interactions present in the perilla seeds. TOPSIS-based ranking identified promising genotypes for functional foods, pharmaceuticals, and nutritional applications. This study provides a first in-depth report of the nutritional composition and diversity of perilla germplasm in the NEH region, thus aiding in the identification of superior varieties for food and nutritional diversification and security. 2024-08-17 2024-10-22T19:50:36Z 2024-10-22T19:50:36Z Journal Article https://hdl.handle.net/10568/155496 en Open Access Springer Science+Business Media Kaur, S.; Godara, S.; Singh, N.; Kumar, A.; Pandey, R.; Adhikari, S.; Jaiswal, S.; Singh, S.K.; Rana, J.C.; Bhardwaj, R.; Singh, B.K.; Riar, A. (2024) Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.). Plant Foods for Human Nutrition, Online first paper (2024-08-17). 8 p. ISSN: 0921-9668
spellingShingle nutrition
perilla frutescens
perilla
multi-variate
Kaur, Simardeep
Godara, Samarth
Singh, Naseeb
Kumar, Amit
Pandey, Renu
Adhikari, Sneha
Jaiswal, Sandeep
Singh, Sanjeev Kumar
Rana, Jai Chand
Bhardwaj, Rakesh
Singh, Binay Kumar
Riar, Amritbir
Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)
title Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)
title_full Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)
title_fullStr Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)
title_full_unstemmed Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)
title_short Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.)
title_sort multivariate data analysis assisted mining of nutri rich genotypes from north eastern himalayan germplasm collection of perilla perilla frutescens l
topic nutrition
perilla frutescens
perilla
multi-variate
url https://hdl.handle.net/10568/155496
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