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dc.contributorSharma, Vijay Kumaren_US
dc.contributorDikshit, H Ken_US
dc.contributorSingh, Dharmendraen_US
dc.contributorAski, Muraleedharen_US
dc.contributorPrakash, Praptien_US
dc.contributorKaushik, S. C.en_US
dc.contributorSingh, Gyanendra Pratapen_US
dc.contributorAgrawal, Shiv Kumaren_US
dc.contributorSarker, Ashutoshen_US
dc.creatorSingh, Akankshaen_US
dc.date2017-04-30en_US
dc.date.accessioned2017-02-23T12:56:19Z
dc.date.available2017-02-23T12:56:19Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifierhttp://link.springer.com/article/10.1007%2Fs13562-016-0382-6en_US
dc.identifierhttps://www.researchgate.net/publication/309296543_Microsatellite_marker-based_genetic_diversity_analysis_of_elite_lentil_lines_differing_in_grain_iron_and_zinc_concentrationen_US
dc.identifier.citationAkanksha Singh, Vijay Kumar Sharma, H K Dikshit, Dharmendra Singh, Muraleedhar Aski, Prapti Prakash, S. C. Kaushik, Gyanendra Pratap Singh, Shiv Kumar Agrawal, Ashutosh Sarker. (30/4/2017). Microsatellite marker-based genetic diversity analysis of elite lentil lines differing in grain iron and zinc concentration. Journal of Plant Biochemistry and Biotechnology, 26 (2), pp. 199-207.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5898
dc.description.abstractTrial comprising fifty lentil genotypes was con- ducted at three locations in India during year 2013–2014 for estimation of grain Fe and Zn concentrations and to analyze G 9 E interactions by employing the additive main effect and multiplication interaction model. The study revealed significant effects for genotype, environment and genotype by environment interaction for both grain Fe and Zn concentration. In this model genotypes with the IPCA score of nearly zero and mean greater than grand mean are considered as adaptable to the studied environments. For grain Fe concentration genotypes P13143, P13135, ILL2581, P2130, LL147, L4603, PL101 and Globe mutant and for grain Zn concentration genotypes P13122, P2239, P3204 and L11-245 were found stable. The diversity analysis using 20 genomic and 54 EST-SSR markers indicated that the studied genotypes were diverse. The EST-SSRs revealed lower polymorphism as compare to genomic SSRs. Two major clusters were identified with 37 % similarity. Indigenous genotypes were grouped in cluster I and all exotic accessions were grouped in cluster II indicating the role of geographic origin in diversity. Based on multi location evaluation for grain Fe and Zn concentrations and molecular characterization crosses are pro- posed for development of grain Fe and Zn rich varieties (P3220 9 L4649 and VL103 9 P2130) and development of mapping populations (P13122 9 L11-287 and LL931 9 P3220) for study of genetics and mapping of QTLs/gene(s).en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherIOS Pressen_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceJournal of Plant Biochemistry and Biotechnology;26,(2016) Pagination 199,207en_US
dc.subjectmolecular diversityen_US
dc.subjectLentilen_US
dc.titleMicrosatellite marker-based genetic diversity analysis of elite lentil lines differing in grain iron and zinc concentrationen_US
dc.typeJournal Articleen_US
cg.creator.idAgrawal, Shiv Kumar: 0000-0001-8407-3562en_US
cg.creator.idSarker, Ashutosh: 0000-0002-9074-4876en_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocgermplasmen_US
cg.subject.agrovoczincen_US
cg.subject.agrovocironen_US
cg.subject.agrovoclens culinarisen_US
cg.contributor.centerBanasthali Universityen_US
cg.contributor.centerIndian Council of Agricultural Research, Indian Agricultural Research Institute - ICAR-IARIen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes - GLen_US
cg.contributor.funderArab Fund for Economic and Social Development - AFESDen_US
cg.contributor.projectIndia Collaborative Program: Restricted funding for breeding for resistance to abiotic stresses in pulses & for 2017/2018 - 2017/2020 - 2020/2021en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-date2116-10-19en_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.countryINen_US
cg.contacthk_dikshit@rediffmail.comen_US
cg.identifier.doihttps://dx.doi.org/10.1007/s13562-016-0382-6en_US
dc.identifier.statusLimited accessen_US
mel.project.openhttp://geoagro.icarda.org/india/en_US
mel.impact-factor0.954en_US


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