Browsing by Author "Sharma, Paras"

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Assessment of diversity in anti-nutrient profile, resistant starch, minerals and carbohydrate components in different ricebean (Vigna umbellata) accessions
(Elsevier B.V., 2023) Sharma, Paras; Goudar, Giridhar; Chandragiri, Anil Kumar; Ananthan, R; Subhash, K; Chauhan, Anitha; Longvah, T; Singh, Mohar; Bhardwaj, Rakesh; Parida, Swarup K.; Singh, Amit Kumar; Gayacharan; Chattopadhyay, Debasis
Ricebean accessions (n = 38) cultivated in India were evaluated for their comprehensive nutrient, anti-nutrients and mineral composition. Protein and total dietary fibre ranged between 23.23 and 27.33 and 12.27 to 16.69 g/100 g, respectively. Among the oligosaccharides, verbascose was not detected, however, raffinose and stachyose ranged between 47 and 186 and 117 to 5765 mg/100 g, respectively. Among the free sugars, sucrose was found dominating (up to 370 mg/100 g). Resistant starch (4.13 to 8.62 %), iron (3.49 to 7.46 mg/100 g), zinc (1.90 to 3.72 mg/100 g) and selenium (0.28 to 4.48 µg/100 g) varied significantly (p < 0.05) among ricebean samples. Phytic acid, saponin, trypsin inhibitor and oxalate analysed in ricebean accessions ranged between 303 and 760 mg/100 g, 19 to 46 mg/g, 309 to 1076 mg/100 g and 219 to 431 mg/100 g, respectively. Multivariate analysis using hierarchical clustering analysis (HCA), and principal component analysis (PCA) was employed to decipher the diversity of nutrients and anti-nutrients across the ricebean accessions. Based on HCA, dendrogram-1 (nutrients) and dendrogram-2 (minerals, anti-nutrients) were produced, having four clusters in each. In the dendrogram-1 and 2, the largest cluster had (n = 21) and (n = 15) accessions, respectively. The PCA analyse the uncorrelated set of variables (principal components) and it condenses a large set of data variables. Based on the eigenvalue >1, a total of eight PCs were formed contributing total variance of 78.8 %. The factor loading contribution in the PC1 and PC2 were from iron, fructose, glucose, raffinose and total dietary fibre, selenium (Se) and protein, respectively.
Multi-environment phenotyping of ricebean (Vigna umbellata (Thunb.) Ohwi & Ohashi) germplasm and identification of core set for accelerating the crop improvement programs
(Frontiers Media S.A., 2026) Gayacharan; Joshi, Dinesh C; Aravind, J; Wankhede, D P; Singh, Badal; Kumar, Prakash; Rajkumar, S; Parida, Swarup K; Semwal, D P; Sharma, Paras; Singh, Mohar; Chattopadhyay, Debasis; Singh, Kuldeep; Singh, G. P.; Singh, Amit Kumar
Ricebean (Vigna umbellata) is a nutrient-rich rich underutilised legume crop. It is primarily grown in the uplands of India, Nepal and China. Despite its adaptation to a wide range of agroclimatic zones and resistance to various biotic and abiotic stresses, ricebean crop improvement efforts have been slow mainly because of the low levels of genetic diversity utilised in ricebean breeding. This study presents the first multi-environment phenotyping and core collection building in ricebean with 1,589 accessions maintained at the Indian National Gene Bank. The accessions were assessed in two diverse agro-ecological regions (New Delhi and Almora), indicating significant phenotypic variations for important economic traits such as days to flowering, pod length, number of seeds per pod, and seed weight. The core subsets were sampled using MStrat, PowerCore and PCSS, and CoreHunter algorithms. The sampled coresets were evaluated using diversity indices such as genetic distance, mean difference percentage (MD%), variance difference percentage (VD%), coincidence rate (CR) and variable rate of coefficient of variation. The E-EN100 approach of CoreHunter yielded the most effective representation, resulting in a final core set with 251 accessions (14.3% from the entire collection). Diversity indices, clustering methods, QQ-plots, and distributional comparisons confirmed the representativeness of the core set. Multi-environment GGE biplot analysis identified stable and high-performing accessions for early flowering, synchronous maturity, pod and seed traits, including promising genotypes such as IC351508 and IC352944 with determinate growth habit and high yield potential. The study provides a manageable subset of the entire collection, which may play a significant role in trait discovery and ricebean cultivar development.
The ricebean genome provides insight into Vigna genome evolution and facilitates genetic enhancement
(John Wiley & Sons, 2023) Francis, Aleena; Singh, Nagendra Pratap; Singh, Mohar; Sharma, Paras; Gayacharan; Kumar, Durgesh; Basu, Udita; Bajaj, Deepak; Varshney, Nidhi; Joshi, Dinesh Chandra; Semwal, Dinesh Prasad; Tyagi, Vandana; Wankhede, Dhammaprakash; Bharadwaj, Rakesh; Singh, Amit Kumar; Parida, Swarup K.; Chattopadhyay, Debasis
Ricebean [Vigna umbellata (Thunb.) Ohwi and Ohashi] (2n = 2x = 22) is a warm-season dietary pulse legume crop and was originated in the Indo-China region. It is known to provide food security to the small and marginal farmers of South and South-East Asia. Ricebean is well known for its high nutritional quality and resistance to bacterial leaf spot, Mungbean yellow mosaic virus and bruchid, which are devastating for the other Vigna family crops (Dhaliwal et al., 2022). We report a reference grade de novo genome assembly, which is anchored to the genetic linkage groups and covered almost the whole estimated genome length of ricebean and so far, the largest among the sequenced Vigna species.