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dc.contributorSen Gupta, Debjyotien_US
dc.contributorGupta, Sunandaen_US
dc.contributorDubey, Sonalien_US
dc.contributorGupta, Prinyankaen_US
dc.contributorAgrawal, Shiv Kumaren_US
dc.creatorKumar, Jitendraen_US
dc.date.accessioned2017-03-21T08:40:40Z
dc.date.available2017-03-21T08:40:40Z
dc.identifierhttps://link.springer.com/article/10.1007/s00299-017-2127-yen_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/EseurVAQen_US
dc.identifier.citationJitendra Kumar, Debjyoti Sen Gupta, Sunanda Gupta, Sonali Dubey, Prinyanka Gupta, Shiv Kumar Agrawal. (31/8/2017). Quantitative trait loci from identification to exploitation for crop improvement. Plant Cell Reports, 36 (8), pp. 1187-1213.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6516
dc.description.abstractRapid advances in the fields of genetics and genomics after the discovery of Mendel’s laws of inheritance have led to map many genes/QTL controlling qualitative and quantitative traits in plant species. Mapping of genomic regions controlling the variation of quantitatively inherited traits has become routine with the abundance of polymorphic molecular markers. Recently, the next generation sequencing methods have accelerated research on QTL mapping using both linkage and association mapping approaches. These efforts have led to identification of closely linked markers with gene/QTLs and identified markers even within the gene/QTL controlling the trait of interest. Some of the notable successes of utilizing major QTL in cultivar development include Fhb1 for Fusarium head vlight ressitance in wheat, Sub1 for submergence tolereance in rice and major QTL for resistance to cyst nematode in soybean. Efforts have also directed towards cloning of gene/QTLs for identification of potential candidate genes responsible for a trait. New concepts such as crop QTLome and QTL prioritization hold promise to accelerate the precise application of QTL for genetic improvement of complex traits in crop plants. In the present article, we reviewed QTL mapping approaches from identification to exploitation in plant breeding programs, and introgression of favourable QTL alleles through marker assisted breeding for improving productivity in major crops.en_US
dc.formatDOCXen_US
dc.languageenen_US
dc.publisherSpringer Verlag (Germany)en_US
dc.rightsCC-BY-4.0en_US
dc.sourcePlant Cell Reports;36,(2017) Pagination 1187-1213en_US
dc.subjectquantitative traitsen_US
dc.subjectbi-and multi- parental mappingen_US
dc.subjectcandidate geneen_US
dc.subjectqtl cloningen_US
dc.subjectcrop qtlomeen_US
dc.titleQuantitative trait loci from identification to exploitation for crop improvementen_US
dc.typeJournal Articleen_US
dcterms.available2017-03-28en_US
dcterms.extent1187-1213en_US
dcterms.issued2017-08-31en_US
cg.creator.idAgrawal, Shiv Kumar: 0000-0001-8407-3562en_US
cg.subject.agrovocgenetic variationen_US
cg.subject.agrovocmarker assisted selectionen_US
cg.subject.agrovocmolecular markersen_US
cg.subject.agrovocquantitative trait locien_US
cg.subject.agrovocgwasen_US
cg.subject.agrovocBarleyen_US
cg.subject.agrovocWheaten_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerIndian Council of Agricultural Research - ICARen_US
cg.contributor.centerIndian Council of Agricultural Research, Indian Institute of Pulses Research - ICAR-IIPRen_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.contactJitendra.Kumar@icar.gov.inen_US
cg.identifier.doihttps://dx.doi.org/10.1007/s00299-017-2127-yen_US
cg.isijournalISI Journalen_US
dc.identifier.statusOpen accessen_US
mel.project.openhttps://mel.cgiar.org/projects/216en_US
mel.impact-factor2.869en_US
cg.issn0721-7714en_US
cg.journalPlant Cell Reportsen_US
cg.issue8en_US
cg.volume36en_US


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