Genome-Wide Association Studies Of Multiple Traits in Barley (Hordeum vulgare L.)

cg.contactA.Reda@cgiar.orgen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCRP on Dryland Cereals - DCen_US
cg.contributor.funderCGIAR System Organization - CGIARen_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.subject.agrovocbarleyen_US
cg.subject.agrovocsnpen_US
cg.subject.agrovocgwasen_US
cg.subject.agrovocagronomic traitsen_US
cg.subject.agrovocBarleyen_US
dc.creatorReda, Amezrouen_US
dc.date.accessioned2019-01-22T10:20:07Z
dc.date.available2019-01-22T10:20:07Z
dc.description.abstractBarley (Hordeum vulgare L.) is one of the most important cereals worldwide. It is grown mainly for animal feed and malt but it is also used for food in several regions across the globe. There is a constant need for breeding high yielding barley cultivars with improved resistance to biotic and abiotic stresses. Introgression of novel genes into elite lines is one of the main activities in a breeding program and lead to the development of superior varieties that can cope with the environmental challenges. The aim of this research is to investigate the phenotypic and genetic diversity of a world panel of barley accessions selected from ICARDA gene bank and breeding germplasm and to identify markers associated with some important traits in barley (agronomic, disease resistance) using the Genome-Wide Association Mapping (GWAS) approach. The Association Mapping panel (AM-2014) was genotyped using the 9K iSelect SNP markers and phenotyped for seedling and adult-plant resistance to net form and spot form of net blotch. Agro-morphological, yield and yield components traits were also scored. The phenotype and genotypic data was used in a mixed linear model analysis accounting for population structure and kinship matrix to detect significant marker-trait associations, corrected after using the False Discovery Rate (FDR) approach. Markers in high Linkage disequilibrium (LD) and within the 3.6 cM LD decay were considered as same QTL. In total, 140 QTLs were identified in the present study for the studied traits. Some genomic regions harbor QTL for more than one trait and, based on map comparisons, 58 QTL have been found to concur with previously mapped QTL. For all traits together, 82 novel QTL have been detected. Novel associations discovered in this study could be validated in different populations or through carefully generated bi-parental mapping populations and the QTLs mapped are valuable resources for marker-assisted selection (MAS) in barley.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/b7562f28b030b1af84be744fd096c97b/v/4c3d93dba7c4c8525c97932933d997faen_US
dc.identifier.citationAmezrou Reda. (2/7/2018). Genome-Wide Association Studies Of Multiple Traits in Barley (Hordeum vulgare L. ).en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/9316
dc.languageenen_US
dc.publisherINSTITUT AGRONOMIQUE ET VETERINAIRE HASSAN IIen_US
dc.rightsCC-BY-NC-4.0en_US
dc.subjectnet blotchen_US
dc.subjectqtlen_US
dc.subjectlden_US
dc.titleGenome-Wide Association Studies Of Multiple Traits in Barley (Hordeum vulgare L.)en_US
dc.typeThesisen_US
dcterms.available2018-07-02en_US

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