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dc.contributorRajendran, Karthikaen_US
dc.contributorKumar, Jitendraen_US
dc.contributorHamwieh, Aladdinen_US
dc.contributorBaum, Michaelen_US
dc.creatorAgrawal, Shiv Kumaren_US
dc.date2015-02-23en_US
dc.date.accessioned2017-03-09T12:48:47Z
dc.date.available2017-03-09T12:48:47Z
dc.identifierhttps://www.frontiersin.org/articles/10.3389/fpls.2015.00078/fullen_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/HYppNH4Zen_US
dc.identifier.citationShiv Kumar Agrawal, Karthika Rajendran, Jitendra Kumar, Aladdin Hamwieh, Michael Baum. (23/2/2015). Current knowledge in lentil genomics and its application for crop improvement. Frontiers in Plant Science, 6.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6346
dc.description.abstractMost of the lentil growing countries face a certain set of abiotic and biotic stresses causing substantial reduction in crop growth, yield, and production. Until-to date, lentil breeders have used conventional plant breeding techniques of selection-recombination-selection cycle to develop improved cultivars.These techniques have been successful in mainstreaming some of the easy-to-manage monogenic traits. However, in case of complex quantitative traits, these conventional techniques are less precise. As most of the economic traits are complex, quantitative, and often influenced by environments and genotype–environment interaction, the genetic improvement of these traits becomes difficult. Genomics assisted breeding is relatively powerful and fast approach to develop high yielding varieties more suitable to adverse environmental conditions. New tools such as molecular markers and bioinformatics are expected to generate new knowledge and improve our understanding on the genetics of complex traits. In the past, the limited availability of genomic resources in lentil could not allow breeders to employ these tools in mainstream breeding program.The recent application of the next generation sequencing and genotyping by sequencing technologies has facilitated to speed up the lentil genome sequencing project and large discovery of genome-wide single nucleotide polymorphism (SNP) markers. Currently, several linkage maps have been developed in lentil through the use of expressed sequenced tag (EST) derived simple sequence repeat (SSR) and SNP markers.These maps have emerged as useful genomic resources to identify quantitative trait loci imparting tolerance to biotic and abiotic stresses in lentil. In this review, the current knowledge on available genomic resources and its application in lentil breeding program are discussed.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherFrontiers Mediaen_US
dc.rightsCC-BY-4.0en_US
dc.sourceFrontiers in Plant Science;6,(2015)en_US
dc.subjectsingle nucleotide polymorphism (snp)en_US
dc.subjectquantitative trait loci (qtl) mappingen_US
dc.subjectmarker assisted selection (mas)en_US
dc.subjectLentilen_US
dc.titleCurrent knowledge in lentil genomics and its application for crop improvementen_US
dc.typeJournal Articleen_US
cg.creator.idAgrawal, Shiv Kumar: 0000-0001-8407-3562en_US
cg.creator.idHamwieh, Aladdin: 0000-0001-6060-5560en_US
cg.creator.idBaum, Michael: 0000-0002-8248-6088en_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocmolecular markersen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_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.funderCGIAR System Organization - CGIARen_US
cg.coverage.regionGlobalen_US
cg.contactsk.agrawal@cgiar.orgen_US
cg.identifier.doihttps://dx.doi.org/10.3389/fpls.2015.00078en_US
dc.identifier.statusOpen accessen_US
mel.impact-factor3.678en_US


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