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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/74997
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Padhi SR, John R, Bartwal A, Tripathi K, Gupta K, Wankhede DP, Mishra GP, Kumar S, Rana JC, Riar A and Bhardwaj R | en_US |
dc.date.accessioned | 2022-11-10T11:43:34Z | - |
dc.date.available | 2022-11-10T11:43:34Z | - |
dc.date.issued | 2022-09-23 | - |
dc.identifier.citation | Padhi SR, John R, Bartwal A, Tripathi K, Gupta K, Wankhede DP, Mishra GP, Kumar S, Rana JC, Riar A and Bhardwaj R* (2022) Development and optimization of NIRS prediction models for simultaneous multi-trait assessment in diverse cowpea germplasm. Front. Nutr. 9:1001551. doi: 10.3389/fnut.2022.1001551 | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/74997 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Cowpea (Vigna unguiculata (L.) Walp.) is one such legume that can facilitate achieving sustainable nutrition and climate change goals. Assessing nutritional traits conventionally can be laborious and time-consuming. NIRS is a technique used to rapidly determine biochemical parameters for large germplasm. NIRS prediction models were developed to assess protein, starch, TDF, phenols, and phytic acid based on MPLS regression. Higher RSQexternal values such as 0.903, 0.997, 0.901, 0.706, and 0.955 were obtained for protein, starch, TDF, phenols, and phytic acid respectively. Models for all the traits displayed RPD values of >2.5 except phenols and low SEP indicating the excellent prediction of models. For all the traits worked, p-value ≥ 0.05 implied the accuracy and reliability score >0.8 (except phenol) ensured the applicability of the models. These prediction models will facilitate high throughput screening of large cowpea germplasm in a non-destructive way and the selection of desirable chemotypes in any genetic background with huge application in cowpea crop improvement programs across the world | en_US |
dc.description.sponsorship | This study was supported by funding from Department of Biotechnology, Government of India under project on minor pulses (No. BT/Ag/Network/Pulse-I /2017-18, date:187 24th Oct 2018). In-house project on Biochemical evaluation of Field and vegetable crops. DBT funded and an international collaborative project Consumption of Resilient Orphan Crops & Products for Healthier Diets (CROPS4HD) which is co funded by the Swiss Agency for Development and Cooperation, Global Programme Food Security (SDC GPFS) and executed in India through FiBL (Research Institute of Organic Agriculture), and Alliance of Bioversity and CIAT with ICAR-NBPGR as a lead partner. Junior Research Fellowship granted to SP by ICAR Research Grant No. 2(9)/2018-HRD dated 30th October 2018. | en_US |
dc.language.iso | English | en_US |
dc.publisher | Frontiers | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | MPLS regression, germplasm screening, nutritional composition, RPD, RSQexternal | en_US |
dc.title | Development and optimization of NIRS prediction models for simultaneous multi-trait assessment in diverse cowpea germplasm | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Frontiers in Nutrition | en_US |
dc.publication.volumeno | Not Available | en_US |
dc.publication.pagenumber | Not Available | en_US |
dc.publication.divisionUnit | Division of Germplasm Evaluation | en_US |
dc.publication.sourceUrl | DOI 10.3389/fnut.2022.1001551 | en_US |
dc.publication.authorAffiliation | ICAR::National Bureau of Plant Genetics Resources | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Research Institute | en_US |
dc.publication.authorAffiliation | Alliance of Bioversity International and CIAT | en_US |
dc.publication.authorAffiliation | Department of International Cooperation, Research Institute of Organic Agriculture FiBL | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | NAAS rated | en_US |
dc.publication.naasrating | 12.58 | en_US |
dc.publication.impactfactor | 6.58 | en_US |
Appears in Collections: | CS-NBPGR-Publication |
Files in This Item:
File | Description | Size | Format | |
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Cowpea NIR model.pdf | 1.04 MB | Adobe PDF | View/Open |
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