A comprehensive assessment of vegetable pea (Pisum sativum L.) germplasm integrating multivariate data analysis with agro-morphological and biochemical characterisation

Addressing the dual challenges of nutritional security and agrobiodiversity loss, this study presents a comprehensive phenotypic and biochemical characterisation of 150 diverse vegetable pea (Pisum sativum L.) genotypes from indigenous and exotic collections. Utilizing multivariate data analysis (MV...

Full description

Bibliographic Details
Main Authors: Thirumalai, Mithraa, Sharma, Vinod K., Tripathi, Kuldeep, Jain, Antil, Angirekula, Udaya Bhanu, Ali, Sharik, Rajkumar, S., Wankhede, Dhammaprakash Pandhari, Bollinedi, Haritha, Yadav, Rashmi, Bhardwaj, Rakesh, Rana, Jai Chand, Riar, Amritbir
Format: Journal Article
Language:Inglés
Published: Elsevier 2025
Subjects:
Online Access:https://hdl.handle.net/10568/177298
_version_ 1855521772230672384
author Thirumalai, Mithraa
Sharma, Vinod K.
Tripathi, Kuldeep
Jain, Antil
Angirekula, Udaya Bhanu
Ali, Sharik
Rajkumar, S.
Wankhede, Dhammaprakash Pandhari
Bollinedi, Haritha
Yadav, Rashmi
Bhardwaj, Rakesh
Rana, Jai Chand
Riar, Amritbir
author_browse Ali, Sharik
Angirekula, Udaya Bhanu
Bhardwaj, Rakesh
Bollinedi, Haritha
Jain, Antil
Rajkumar, S.
Rana, Jai Chand
Riar, Amritbir
Sharma, Vinod K.
Thirumalai, Mithraa
Tripathi, Kuldeep
Wankhede, Dhammaprakash Pandhari
Yadav, Rashmi
author_facet Thirumalai, Mithraa
Sharma, Vinod K.
Tripathi, Kuldeep
Jain, Antil
Angirekula, Udaya Bhanu
Ali, Sharik
Rajkumar, S.
Wankhede, Dhammaprakash Pandhari
Bollinedi, Haritha
Yadav, Rashmi
Bhardwaj, Rakesh
Rana, Jai Chand
Riar, Amritbir
author_sort Thirumalai, Mithraa
collection Repository of Agricultural Research Outputs (CGSpace)
description Addressing the dual challenges of nutritional security and agrobiodiversity loss, this study presents a comprehensive phenotypic and biochemical characterisation of 150 diverse vegetable pea (Pisum sativum L.) genotypes from indigenous and exotic collections. Utilizing multivariate data analysis (MVDA), including correlation, hierarchical clustering (HCA), and principal component analysis (PCA), we dissected 30 agro-morphological and 16 nutritional traits to uncover key axes of variation. Significant diversity was observed in flowering time (39–90DAS), plant architecture, seed morphology, and biochemical composition, with protein (13.8–26.8 %), iron (33–124 ppm), vitamin C (21.7–69.2 mg/100g), and total phenolics (0.39–0.81g GAE/100g) displaying broad variability. HCA revealed seven distinct clusters, especially cluster 7 comprised early-maturing, tall genotypes with highest pod count (94 pods/plant), leading to the greatest fresh yield (362 g/plant), with rich nutritional quality (balanced protein and starch, 117 mg/100g vitamin C, high total soluble sugars and low phytate). The integrative PCA–cluster approach highlighted “trait syndromes,” such as an inverse relationship between starch and quality traits, and associations between flower pigmentation, seed coat color, and antioxidant content. These findings provide a high-resolution phenotypic framework essential for genome-wide association studies and marker-assisted selection. Our integrative approach offers a strategic resource for breeding climate-resilient, nutritionally enhanced pea cultivars, advancing sustainable agriculture and global food system resilience.
format Journal Article
id CGSpace177298
institution CGIAR Consortium
language Inglés
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher Elsevier
publisherStr Elsevier
record_format dspace
spelling CGSpace1772982025-12-08T09:54:28Z A comprehensive assessment of vegetable pea (Pisum sativum L.) germplasm integrating multivariate data analysis with agro-morphological and biochemical characterisation Thirumalai, Mithraa Sharma, Vinod K. Tripathi, Kuldeep Jain, Antil Angirekula, Udaya Bhanu Ali, Sharik Rajkumar, S. Wankhede, Dhammaprakash Pandhari Bollinedi, Haritha Yadav, Rashmi Bhardwaj, Rakesh Rana, Jai Chand Riar, Amritbir germplasm agronomic characters nutrition security correlation pisum component analysis Addressing the dual challenges of nutritional security and agrobiodiversity loss, this study presents a comprehensive phenotypic and biochemical characterisation of 150 diverse vegetable pea (Pisum sativum L.) genotypes from indigenous and exotic collections. Utilizing multivariate data analysis (MVDA), including correlation, hierarchical clustering (HCA), and principal component analysis (PCA), we dissected 30 agro-morphological and 16 nutritional traits to uncover key axes of variation. Significant diversity was observed in flowering time (39–90DAS), plant architecture, seed morphology, and biochemical composition, with protein (13.8–26.8 %), iron (33–124 ppm), vitamin C (21.7–69.2 mg/100g), and total phenolics (0.39–0.81g GAE/100g) displaying broad variability. HCA revealed seven distinct clusters, especially cluster 7 comprised early-maturing, tall genotypes with highest pod count (94 pods/plant), leading to the greatest fresh yield (362 g/plant), with rich nutritional quality (balanced protein and starch, 117 mg/100g vitamin C, high total soluble sugars and low phytate). The integrative PCA–cluster approach highlighted “trait syndromes,” such as an inverse relationship between starch and quality traits, and associations between flower pigmentation, seed coat color, and antioxidant content. These findings provide a high-resolution phenotypic framework essential for genome-wide association studies and marker-assisted selection. Our integrative approach offers a strategic resource for breeding climate-resilient, nutritionally enhanced pea cultivars, advancing sustainable agriculture and global food system resilience. 2025-10 2025-10-23T14:29:51Z 2025-10-23T14:29:51Z Journal Article https://hdl.handle.net/10568/177298 en Open Access application/pdf Elsevier Thirumalai, M.; Sharma, V.K.; Tripathi, K.; Jain, A.; Angirekula, U.B.; Ali, S.; Rajkumar, S.; Wankhede, D.P.; Bollinedi, H.; Yadav, R.; Bhardwaj, R.; Rana, J.C.; Riar, A. (2025) A comprehensive assessment of vegetable pea (Pisum sativum L.) germplasm integrating multivariate data analysis with agro-morphological and biochemical characterisation. Journal of Agriculture and Food Research 23: 102253. ISSN: 2666-1543
spellingShingle germplasm
agronomic characters
nutrition security
correlation
pisum
component analysis
Thirumalai, Mithraa
Sharma, Vinod K.
Tripathi, Kuldeep
Jain, Antil
Angirekula, Udaya Bhanu
Ali, Sharik
Rajkumar, S.
Wankhede, Dhammaprakash Pandhari
Bollinedi, Haritha
Yadav, Rashmi
Bhardwaj, Rakesh
Rana, Jai Chand
Riar, Amritbir
A comprehensive assessment of vegetable pea (Pisum sativum L.) germplasm integrating multivariate data analysis with agro-morphological and biochemical characterisation
title A comprehensive assessment of vegetable pea (Pisum sativum L.) germplasm integrating multivariate data analysis with agro-morphological and biochemical characterisation
title_full A comprehensive assessment of vegetable pea (Pisum sativum L.) germplasm integrating multivariate data analysis with agro-morphological and biochemical characterisation
title_fullStr A comprehensive assessment of vegetable pea (Pisum sativum L.) germplasm integrating multivariate data analysis with agro-morphological and biochemical characterisation
title_full_unstemmed A comprehensive assessment of vegetable pea (Pisum sativum L.) germplasm integrating multivariate data analysis with agro-morphological and biochemical characterisation
title_short A comprehensive assessment of vegetable pea (Pisum sativum L.) germplasm integrating multivariate data analysis with agro-morphological and biochemical characterisation
title_sort comprehensive assessment of vegetable pea pisum sativum l germplasm integrating multivariate data analysis with agro morphological and biochemical characterisation
topic germplasm
agronomic characters
nutrition security
correlation
pisum
component analysis
url https://hdl.handle.net/10568/177298
work_keys_str_mv AT thirumalaimithraa acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT sharmavinodk acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT tripathikuldeep acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT jainantil acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT angirekulaudayabhanu acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT alisharik acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT rajkumars acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT wankhededhammaprakashpandhari acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT bollinediharitha acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT yadavrashmi acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT bhardwajrakesh acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT ranajaichand acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT riaramritbir acomprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT thirumalaimithraa comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT sharmavinodk comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT tripathikuldeep comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT jainantil comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT angirekulaudayabhanu comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT alisharik comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT rajkumars comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT wankhededhammaprakashpandhari comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT bollinediharitha comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT yadavrashmi comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT bhardwajrakesh comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT ranajaichand comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation
AT riaramritbir comprehensiveassessmentofvegetablepeapisumsativumlgermplasmintegratingmultivariatedataanalysiswithagromorphologicalandbiochemicalcharacterisation