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dc.contributorBohra, Abhisheken_US
dc.contributorJha, Udayen_US
dc.contributorRana, Maneeten_US
dc.contributorChahota, Rakeshen_US
dc.contributorAgrawal, Shiv Kumaren_US
dc.contributorSharma, Tilak Rajen_US
dc.creatorJha, Rintuen_US
dc.date2017-07-31en_US
dc.date.accessioned2018-03-07T00:22:19Z
dc.date.available2018-03-07T00:22:19Z
dc.identifierhttps://link.springer.com/article/10.1007%2Fs12298-017-0438-7en_US
dc.identifierhttps://www.researchgate.net/publication/316167007_Analysis_of_an_intraspecific_RIL_population_uncovers_genomic_segments_harbouring_multiple_QTL_for_seed_relevant_traits_in_lentil_Lens_culinaris_Len_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/qBrVkE3den_US
dc.identifier.citationRintu Jha, Abhishek Bohra, Uday Jha, Maneet Rana, Rakesh Chahota, Shiv Kumar Agrawal, Tilak Raj Sharma. (31/7/2017). Analysis of an intraspecific RIL population uncovers genomic segments harbouring multiple QTL for seed relevant traits in lentil (Lens culinaris L. ). Physiology and Molecular Biology of Plants, 23 (3), pp. 675-684.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/8006
dc.description.abstractImproving seed related traits remains key objective in lentil breeding. In recent years, genomic resources have shown great promise to accelerate crop improvement. However, limited genomic resources in lentil greatly restrict the use of genomics assisted breeding. The present investigation aims to build an intraspecific genetic linkage map and identify the QTL associated with important seed relevant traits using 94 recombinant inbreds (WA 8649090 × Precoz). A total of 288 polymorphic DNA markers including simple sequence repeat (SSR), inter simple sequence repeat (ISSR) and random amplified polymorphic DNA (RAPD) were assayed on mapping population. The resultant genetic linkage map comprised 220 loci spanning 604.2 cM of the lentil genome, with average inter-marker distance of 2.74 cM. QTL mapping in this RIL population uncovered a total of 18 QTL encompassing nine major and nine minor QTL. All major QTL were detected for seed related traits viz., seed diameter (SD), seed thickness (ST), seed weight (SW) and seed plumpness (SP) across two locations. A considerable proportion of the phenotypic variation (PV) was accounted to these QTL. For instance, one major QTL on LG5 controlling SW (QTL 15) explained 50% PV in one location, while the same QTL accounted for 34.18% PV in other location. Importantly, the genomic region containing multiple QTL for different seed traits was mapped to a 17-cM region on LG5. The genomic region harbouring QTL for multiple traits opens up exciting opportunities for genomics assisted improvement of lentil.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherSpringer Verlag (Germany)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourcePhysiology and Molecular Biology of Plants;23,(2017) Pagination 675,684en_US
dc.subjecttraiten_US
dc.subjectlinkage mapen_US
dc.subjectqtlen_US
dc.subjectgenomeen_US
dc.subjectmolecular markeren_US
dc.subjectLentilen_US
dc.titleAnalysis of an intraspecific RIL population uncovers genomic segments harbouring multiple QTL for seed relevant traits in lentil (Lens culinaris L.)en_US
dc.typeJournal Articleen_US
cg.creator.idAgrawal, Shiv Kumar: 0000-0001-8407-3562en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovoclentilsen_US
cg.contributor.centerCSK Himachal Pradesh Agriculture University, Palampur - CSKHPKVen_US
cg.contributor.centerIndian Council of Agricultural Research, Indian Institute of Pulses Research - ICAR-IIPRen_US
cg.contributor.centerIndian Council of Agricultural Research, Indian Grassland and Fodder Research Institute - ICAR-IGFRIen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerPunjab Agricultural University - PAUen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes - GLen_US
cg.contributor.funderArab Fund for Economic and Social Development - AFESDen_US
cg.contributor.projectSustainability and Operation of the Regional Research Centers in a Number of Arab Countries (Phase II)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.countryINen_US
cg.contactabhi.omics@gmail.comen_US
dc.identifier.statusOpen accessen_US
mel.project.openhttps://mel.cgiar.org/projects/216en_US


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