Functional genetic diversity analysis and identification of associated SSRs and AFLPs markers to drought tolerance in Lentils landraces

cg.contactomar.idrissi@inra.maen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerGhent University - GUen_US
cg.contributor.centerNational Institute of Agronomic Research Morocco - INRA Moroccoen_US
cg.contributor.centerInstitute for Agricultural and Fisheries Research - ILVOen_US
cg.contributor.crpCGIAR Research Program on Grain Legumes - GLen_US
cg.contributor.funderGovernment of Morocco - Moroccoen_US
cg.contributor.projectMoroccan Collaborative Grants Program (MCGP)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.countryMAen_US
cg.coverage.regionNorthern Africaen_US
cg.creator.idUdupa, Sripada M.: 0000-0003-4225-7843en_US
cg.date.embargo-end-date2017-06-22en_US
cg.identifier.doihttps://dx.doi.org/10.1007/s11105-015-0940-4en_US
cg.isijournalISI Journalen_US
cg.issn0735-9640en_US
cg.issue3en_US
cg.journalPlant Molecular Biology Reporteren_US
cg.subject.agrovocdroughten_US
cg.volume34en_US
dc.contributorUdupa, Sripada M.en_US
dc.contributorKeyser, Ellen Deen_US
dc.contributorVan Damme, Patricken_US
dc.contributorDe Riek, Janen_US
dc.creatorIdrissi, Omaren_US
dc.date.accessioned2017-03-06T03:57:36Z
dc.date.available2017-03-06T03:57:36Z
dc.description.abstractGenetic diversity of 70 Mediterranean lentil landraces was assessed using simple sequence repeat (SSR) and amplified fragment length polymorphisms (AFLP). Their variation for root and shoot traits and drought tolerance was evaluated using relative water content, water losing rate and wilting score. High level of genetic variation and clear differentiation of landraces from Morocco from those from northern Mediterranean originating from Italy, Turkey and Greece were found according to both SSR and AFLP techniques. High genetic variation for root and shoot traits as well as for drought tolerance was obtained. No correlation of drought response with landraces origin. Landraces with higher dry root biomass, chlorophyll content and root-shoot ratio were drought tolerant with higher relative water content and lower water losing rate and wilting severity. Kruskal-Wallis non- parametric test (K-W) was used to find associated SSRs and AFLPs to RWC, WLR and WS. Regression analysis showed six SSRs and AFLPs alleles explaining the highest phenotypic variation of RWC, WLR and WS. Functional genetic diversity based on drought response of landraces as estimated by RWC, WLR and WS was shown using SSRs and AFLPs alleles linked to these parameters according to K-W using canonical discriminant analysis. This highlighted the feasibility of association mapping studies aiming to find associated DNA markers with drought tolerance in larger number of lentil landraces.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/p1B9C3h8/v/ae2dbb35b3f147c3cb3118ba528ad60den_US
dc.identifier.citationOmar Idrissi, Sripada M. Udupa, Ellen De Keyser, Patrick Van Damme, Jan De Riek. (22/6/2016). Functional genetic diversity analysis and identification of associated SSRs and AFLPs markers to drought tolerance in Lentils landraces. Plant Molecular Biology Reporter, 34 (3), pp. 659-680.en_US
dc.identifier.statusLimited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6288
dc.languageenen_US
dc.publisherSpringer Verlag (Germany)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourcePlant Molecular Biology Reporter;34,(2016) Pagination 659-680en_US
dc.subjectlentil landracesen_US
dc.subjectssraen_US
dc.subjectflpen_US
dc.subjectstress ecophysiologyen_US
dc.subjectmarker–trait associationen_US
dc.subjectgenetic diversityen_US
dc.titleFunctional genetic diversity analysis and identification of associated SSRs and AFLPs markers to drought tolerance in Lentils landracesen_US
dc.typeJournal Articleen_US
dcterms.available2016-06-22en_US
dcterms.extent659-680en_US
mel.impact-factor3.905en_US
mel.project.openhttps://mel.cgiar.org/projects/195en_US

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