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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/69725
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Soma Gupta | en_US |
dc.contributor.author | Shouvik Das | en_US |
dc.contributor.author | Harsh Kumar Dikshit | en_US |
dc.contributor.author | Gyan Prakash Mishra | en_US |
dc.contributor.author | Muraleedhar S. Aski | en_US |
dc.contributor.author | Ruchi Bansal | en_US |
dc.contributor.author | Kuldeep Tripathi | en_US |
dc.contributor.author | Arpan Bhowmik | en_US |
dc.contributor.author | Shiv Kumar | en_US |
dc.date.accessioned | 2022-02-10T05:28:05Z | - |
dc.date.available | 2022-02-10T05:28:05Z | - |
dc.date.issued | 2021-08-31 | - |
dc.identifier.citation | Gupta, S, Das, S, Dikshit, HK, Mishra, GP, Aski, MS, Bansal, R, Tripathi, K, Bhowmik, Arpan, Kumar, S. (2021). Genotype by Environment Interaction Effect on Grain Iron and Zinc Concentration of Indian and Mediterranean Lentil Genotypes. Agronomy. 11(9), DOI: 10.3390/agronomy11091761 | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/69725 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Lentil grains with high nutritional value qualify as a promising candidate for alleviation of micronutrient malnutrition in South Asia and North Africa. Genetic variation for micronutrient concentration in germplasm is prerequisite for biofortification of this crop. In the present study, ninety-six lentil genotypes consisting of Indian (released varieties, advanced breeding lines and germplasm lines) and Mediterranean (germplasm lines and landraces) lines were evaluated for grain iron (Fe) and zinc (Zn) concentrations and the stability of these traits was studied across three different locations in India. The pooled analysis of variance revealed significant genotype, environment and genotype by environment interaction (GEI) mean squares for both the micronutrients. Stability analysis employing the AMMI model elucidated the first two interaction principal components as significant and cumulatively explained 100% of GEI variation. The first two components explained 55.9% and 44.1% of the GEI sum of squares for grain iron and 50.8% and 49.2% for grain zinc concentration, respectively. No correlation between grain iron and zinc concentration was observed. Among 96 lines, genotypes IG 49, P 16214, ILL 147 and P 2118 were found to be relatively stable, having higher mean iron and zinc concentrations with low modified AMMI stability value (MASV), modified AMMI stability index (MASI) and genotype selection index (GSI). The identified promising genotypes (high Fe: P 16214, IG 115, P 2127 and IC 560812 and high Zn: P 8115, P 3234, LL 461 and IC 560812) can be utilized for studying the genetics of grain Fe and Zn concentration by developing mapping populations and for biofortification of Indian lentil. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Agronomy (MDPI) | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | lentil | en_US |
dc.subject | grain Fe and Zn concentration | en_US |
dc.subject | AMMI | en_US |
dc.subject | stability parameters | en_US |
dc.subject | biofortification | en_US |
dc.title | Genotype by Environment Interaction Effect on Grain Iron and Zinc Concentration of Indian and Mediterranean Lentil Genotypes | 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 | Agronomy | en_US |
dc.publication.volumeno | Not Available | en_US |
dc.publication.pagenumber | Not Available | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://doi.org/10.3390/agronomy11091761 | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Research Institute | en_US |
dc.publication.authorAffiliation | ICAR::Indian Institute of Seed Science | en_US |
dc.publication.authorAffiliation | ICAR::National Bureau of Plant Genetics Resources | en_US |
dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
dc.publication.authorAffiliation | International Center for Agricultural Research in the Dry Areas, Avenue Hafiane Cherkaoui, Rabat 10112, Morocco | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Peer reviwed open access | en_US |
dc.publication.naasrating | 9.42 | en_US |
dc.publication.impactfactor | 3.417 | en_US |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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agronomy-11-01761.pdf | 702.01 kB | Adobe PDF | View/Open |
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