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dc.contributorBaum, Michaelen_US
dc.contributorJighly, Abdul-Qaderen_US
dc.contributorDjekoun, Abdelhamiden_US
dc.contributorLababidi, Sameren_US
dc.contributorBenbelkacem, Abdel Kaderen_US
dc.contributorlabhilili, M.en_US
dc.contributorGaboun, F.en_US
dc.contributorYkhlef, Nadiaen_US
dc.creatorBousba, Ratibaen_US
dc.date2013-12-27en_US
dc.date.accessioned2017-07-24T00:20:21Z
dc.date.available2017-07-24T00:20:21Z
dc.identifierhttp://www.oiirj.org/oiirj/nov-dec2013/07.pdfen_US
dc.identifierhttps://www.researchgate.net/publication/280563437_Association_Analysis_of_Genotypic_and_Phenotypic_Traits_Using_SSR_Marker_in_Durum_Wheaten_US
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/EJQBP50Ven_US
dc.identifier.citationRatiba Bousba, Michael Baum, Abdul-Qader Jighly, Abdelhamid Djekoun, Samer Lababidi, Abdel Kader Benbelkacem, M. labhilili, F. Gaboun, Nadia Ykhlef. (27/12/2013). Association Analysis of Genotypic and Phenotypic Traits Using SSR Marker in Durum Wheat. Online International Interdisciplinary Research Journal, 3 (6), pp. 60-79.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7267
dc.description.abstractIn durum wheat, marker-trait associations were studied for six agronomic traits using a set of 25 simple sequence repeat (SSR) markers , with a set of 40 wheat genotypes including drought, semi-tolerant and non-drought tolerant genotypes. According to the factorial discriminate analysis (FDA) for phenotype traits and to the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) cluster, the 40 genotypes, were classified into five distinct groups. The first two components of FDA results for phenotype traits, explained 74% of total variation. The results show that landraces were earlier and relatively taller than the improved varieties. A total of 14 SSR markers showed significant associations with studied agronomic traits on chromosomes of durum wheat. Some markers (wmc54 (3B), wms118 (5B) and wmc165 (3A), showed significant associations with several traits and were associated with Number of grains per main spike (NGS), Number of spike per meter square (NS/m2)and throusand kernel weight (TKW) as well as with grain yield (GY) and its components. In total, 136 alleles were obtained with a mean of 13 alleles/locus. The average PIC value was 0.74 suggesting a high degree of genetic diversity. The analysis using the Mantel matrix correspondence test, revealed a positive and highly significant correlation (r=0.6096; p<0.01, 1000 random permutations) between the agro-morphological traits and the microsatellite markerderived similarity matrices. Furthermore, the molecular variance analysis (AMOVA) showed that the proportion of variance explained by within and among geographical groups diversity was 83 % and 17%, respectively. Thus, our study showed significant variation in morphological traits and microsatellite DNA polymorphisms among wheat varieties.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherOnline International Interdisciplinary Research Journalen_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceOnline International Interdisciplinary Research Journal;3,(2013) Pagination 60,79en_US
dc.subjectamovaen_US
dc.subjectfdaen_US
dc.subjectassociation analysisen_US
dc.subjectpicen_US
dc.subjectssr markeren_US
dc.subjectWheaten_US
dc.titleAssociation Analysis of Genotypic and Phenotypic Traits Using SSR Marker in Durum Wheaten_US
dc.typeJournal Articleen_US
cg.creator.idBaum, Michael: 0000-0002-8248-6088en_US
cg.creator.ID-typeORCIDen_US
cg.subject.agrovocdurum (triticum durum)en_US
cg.contributor.centerConstantine 1 University - UMCen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInstitut National de Recherche Agronomique d’Algérie - INRAAen_US
cg.contributor.centerNational Institute of Agronomic Research Morocco - INRA Moroccoen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionNorthern Africaen_US
cg.coverage.regionSouthern Europeen_US
cg.coverage.regionWestern Asiaen_US
cg.coverage.countryDZen_US
cg.coverage.countryEGen_US
cg.coverage.countryITen_US
cg.coverage.countrySYen_US
cg.coverage.countryTNen_US
cg.contactm.baum@cgiar.orgen_US
dc.identifier.statusOpen accessen_US


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