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dc.contributorKhan, Aamiren_US
dc.contributorJaganathan, Deepaen_US
dc.contributorThudi, Mahendaren_US
dc.contributorRoorkiwal, Manishen_US
dc.contributorTakagi, Hirokien_US
dc.contributorVanika, Gargen_US
dc.contributorKumar, Vinayen_US
dc.contributorChitikineni, Annapurnaen_US
dc.contributorGaur, Pooranen_US
dc.contributorSutton, Timen_US
dc.contributorTerauchi, Ryoheien_US
dc.contributorVarshney, Rajeeven_US
dc.creatorSingh, Vikasen_US
dc.date2016-11-30en_US
dc.date.accessioned2017-04-19T12:29:31Z
dc.date.available2017-04-19T12:29:31Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/MvXxCXSQen_US
dc.identifier.citationVikas Singh, Aamir Khan, Deepa Jaganathan, Mahendar Thudi, Manish Roorkiwal, Hiroki Takagi, Garg Vanika, Vinay Kumar, Annapurna Chitikineni, Pooran Gaur, Tim Sutton, Ryohei Terauchi, Rajeev Varshney. (30/11/2016). QTL‐seq for rapid identification of candidate genes for 100‐seed weight and root/total plant dry weight ratio under rainfed conditions in chickpea. Plant Biotechnology Journal, 14 (11), pp. 2110-2119.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6835
dc.description.abstractTerminal drought is a major constraint to chickpea productivity. Two component traits responsible for reduction in yield under drought stress include reduction in seeds size and root length/root density. QTL-seq approach, therefore, was used to identify candidate genomic regions for 100-seed weight (100SDW) and total dry root weight to total plant dry weight ratio (RTR) under rainfed conditions. Genomewide SNP profiling of extreme phenotypic bulks from the ICC 4958 9 ICC 1882 population identified two significant genomic regions, one on CaLG01 (1.08 Mb) and another on CaLG04 (2.7 Mb) linkage groups for 100SDW. Similarly, one significant genomic region on CaLG04 (1.10 Mb) was identified for RTR. Comprehensive analysis revealed four and five putative candidate genes associated with 100SDW and RTR, respectively. Subsequently, two genes (Ca_04364 and Ca_04607) for 100SDW and one gene (Ca_04586) for RTR were validated using CAPS/dCAPS markers. Identified candidate genomic regions and genes may be useful for molecular breeding for chickpea improvement.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherWiley Open Accessen_US
dc.rightsCC-BY-4.0en_US
dc.sourcePlant Biotechnology Journal;14,(2016) Pagination 2110,2119en_US
dc.subjecttrait mappingen_US
dc.subjectresequencingen_US
dc.subjectroot ratioen_US
dc.subjectsnp-indexen_US
dc.subjectChickpeaen_US
dc.titleQTL‐seq for rapid identification of candidate genes for 100‐seed weight and root/total plant dry weight ratio under rainfed conditions in chickpeaen_US
dc.typeJournal Articleen_US
cg.creator.idThudi, Mahendar: 0000-0003-2851-6837en_US
cg.creator.idRoorkiwal, Manish: 0000-0001-6595-281Xen_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocseed weighten_US
cg.subject.agrovocchickpeasen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.centerOsmania Universityen_US
cg.contributor.centerIwate Biotechnology Research Center - IBRCen_US
cg.contributor.centerUniversity of Adelaide - Adelaideen_US
cg.contributor.centerSouth Australian Research and Development Institute - SARDIen_US
cg.contributor.centerThe University of Western Australia, Faculty of Science, School of Plant Biology - UWA - FoS - SoPBen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes - GLen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.coverage.regionSouthern Asiaen_US
cg.coverage.countryINen_US
cg.contactR.K.Varshney@CGIAR.ORGen_US
cg.identifier.doihttps://dx.doi.org/10.1111/pbi.12567en_US
dc.identifier.statusOpen accessen_US
mel.impact-factor6.305en_US


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