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dc.contributorSamineni, Srinivasanen_US
dc.contributorThudi, Mahendaren_US
dc.contributorSajja, Sobhanen_US
dc.contributorRathore, Abhisheken_US
dc.contributorDas, Roma R.en_US
dc.contributorKhan, Aamiren_US
dc.contributorChaturvedi, Sushil k.en_US
dc.contributorRoopa Lavanya, Geraen_US
dc.contributorVarshney, Rajeeven_US
dc.contributorGaur, Pooranen_US
dc.creatorPaul, Pronoben_US
dc.date2018-07-25en_US
dc.date.accessioned2019-05-04T15:40:59Z
dc.date.available2019-05-04T15:40:59Z
dc.identifierhttp://oar.icrisat.org/10810/en_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/8f2bd769bf774a6f4ab6bcb58c5cdf53en_US
dc.identifier.citationPronob Paul, Srinivasan Samineni, Mahendar Thudi, Sobhan Sajja, Abhishek Rathore, Roma R. Das, Aamir Khan, Sushil k. Chaturvedi, Gera Roopa Lavanya, Rajeev Varshney, Pooran Gaur. (25/7/2018). Molecular Mapping of QTLs for Heat Tolerance in Chickpea. International Journal of Molecular Sciences, 19 (8).en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/9953
dc.description.abstractChickpea (Cicer arietinum L.), a cool-season legume, is increasingly affected by heat-stress at reproductive stage due to changes in global climatic conditions and cropping systems. Identifying quantitative trait loci (QTLs) for heat tolerance may facilitate breeding for heat tolerant varieties. The present study was aimed at identifying QTLs associated with heat tolerance in chickpea using 292 F8-9 recombinant inbred lines (RILs) developed from the cross ICC 4567 (heat sensitive) × ICC 15614 (heat tolerant). Phenotyping of RILs was undertaken for two heat-stress (late sown) and one non-stress (normal sown) environments. A genetic map spanning 529.11 cM and comprising 271 genotyping by sequencing (GBS) based single nucleotide polymorphism (SNP) markers was constructed. Composite interval mapping (CIM) analysis revealed two consistent genomic regions harbouring four QTLs each on CaLG05 and CaLG06. Four major QTLs for number of filled pods per plot (FPod), total number of seeds per plot (TS), grain yield per plot (GY) and % pod setting (%PodSet), located in the CaLG05 genomic region, were found to have cumulative phenotypic variation of above 50%. Nineteen pairs of epistatic QTLs showed significant epistatic effect, and non-significant QTL × environment interaction effect, except for harvest index (HI) and biomass (BM). A total of 25 putative candidate genes for heat-stress were identified in the two major genomic regions. This is the first report on QTLs for heat-stress response in chickpea. The markers linked to the above mentioned four major QTLs can facilitate marker-assisted breeding for heat tolerance in chickpea. View Full-Texten_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherMDPIen_US
dc.rightsCC-BY-4.0en_US
dc.sourceInternational Journal of Molecular Sciences;19,(2018)en_US
dc.subjectcandidate genesen_US
dc.subjectmolecular breedingen_US
dc.subjectheat-stressen_US
dc.subjectChickpeaen_US
dc.titleMolecular Mapping of QTLs for Heat Tolerance in Chickpeaen_US
dc.typeJournal Articleen_US
cg.creator.idSamineni, Srinivasan: 0000-0001-9350-8847en_US
cg.creator.idThudi, Mahendar: 0000-0003-2851-6837en_US
cg.creator.idRathore, Abhishek: 0000-0001-6887-4095en_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovoccicer arietinumen_US
cg.subject.agrovocabiotic stressen_US
cg.subject.agrovocgeneticsen_US
cg.contributor.centerInternational Crops Research Institute for the Semi-Arid Tropics - ICRISATen_US
cg.contributor.centerSam Higginbottom University of Agriculture, Technology and Sciences - SHUATSen_US
cg.contributor.centerIndian Council of Agricultural Research, Indian Institute of Pulses Research - ICAR-IIPRen_US
cg.contributor.centerThe University of Western Australia, Faculty of Science, School of Plant Biology - UWA - FoS - SoPBen_US
cg.contributor.centerThe University of Western Australia, Institute of Agriculture - UWA - IOAen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes and Dryland Cereals - GLDCen_US
cg.contributor.funderCGIAR System Organization - CGIARen_US
cg.coverage.regionGlobalen_US
cg.contactP.GAUR@CGIAR.ORGen_US
cg.identifier.doihttps://dx.doi.org/10.3390/ijms19082166en_US
dc.identifier.statusOpen accessen_US
mel.impact-factor3.687en_US


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