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dc.contributorChao, Shiaomanen_US
dc.contributorMamidi, Sujanen_US
dc.contributorReda, Amezrouen_US
dc.contributorSreedasyam, Avinashen_US
dc.contributorBhardwaj, Subhash Chanden_US
dc.contributorRehman, Sajiden_US
dc.contributorVerma, Ramesh Pal Singhen_US
dc.creatorGyawali, Sanjayaen_US
dc.date.accessioned2018-03-04T00:47:55Z
dc.date.available2018-03-04T00:47:55Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/mae7669yen_US
dc.identifier.citationSanjaya Gyawali, Shiaoman Chao, Sujan Mamidi, Amezrou Reda, Avinash Sreedasyam, Subhash Chand Bhardwaj, Sajid Rehman, Ramesh Pal Singh Verma. (6/4/2017). Genome-wide association study of stripe rust (Puccinia striiformis f. sp. hordei) resistance in a world collection of barley (Hordeum vulgare L. ). Rabat, Morocco.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/7960
dc.description.abstractStripe rust (Puccicina striiformis f.sp. hordei) (PSH) is one of the major diseases that causes significant yield losses of barley (Hordeium vulgare L.) worldwide. Frequent breakdown of resistance genes and emergence of new races have necessitated research for new sources of resistance. The genetic map of PSH resistance in barley is unknown against Indian races. We performed genome-wide association study (GWAS) of stripe rust resistance using 336 barley genotypes collected world-wide. Barley genotypes were evaluated for stripe rust resistance using six races prevalent in India; Q (5S0), 24 (0S0-1), 57 (0S0), M (1S0), G (4S0) and 7S0 (newly reported race). Seedling screening with individual race was carried out in ICAR-IIWBR Regional Station, Shimla, while field screening was carried out at adult stage with mixed inoculum of all the races in Durgapura, Rajasthan, India in 2015. Barley genotypes were genotyped using 9K SNP array based on iSelect Illumina Inifinium Assay in USDA-ARS, Fargo, USA. GWAS was carried out in TASSEL using mixed linear model (MLM) where population structure and Kinship were used as fixed and random effects, respectively. Out of 336 genotypes, 87 (25.9%), 101 (30.1%), 119 (35.4%), 100 (29.8%), 91 (27.1%), 70 (20%) were resistant to races M (1S0), 24 (0S0-1), 57 (0S0), G (4S0), Q (5S0), and 7S0 races, respectively. Both population structure and PCA analyses revealed two sub-populations predominantly based on row types. GWAS revealed 12 race-specific seedling resistance QTL for stripe rust, while seven adult-plant stage QTL were mapped in different chromosomes. Gene annotation using BLAST search revealed genes encoding 1-Phosphatidylinositol-3-phosphate 5-kinase, Glycine-rich domain-containing protein, Purine biosynthesis PurH-like protein, Dof-type zinc finger protein 15 (Dof15), RNA polymerase II transcription subunit 27, NAC transcription factor (NAC012 gene), WUSCHEL-related homeobox 8, Ubiquitin-conjugating enzyme (UBC) and uncharacterized proteins. The QTL mapped in the current study shall be important for PSH resistant barley breeding in India and elsewhere.en_US
dc.formatDOCXen_US
dc.languageenen_US
dc.rightsCC-BY-4.0en_US
dc.titleGenome-wide association study of stripe rust (Puccinia striiformis f.sp. hordei) resistance in a world collection of barley (Hordeum vulgare L.)en_US
dc.typeConference Paperen_US
dcterms.available2017-04-06en_US
cg.creator.idVerma, Ramesh Pal Singh: 0000-0002-2621-2015en_US
cg.subject.agrovocbarleyen_US
cg.subject.agrovocyellow rusten_US
cg.subject.agrovocBarleyen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerIndian Council of Agricultural Research, Indian Institute of Wheat and Barley Research - ICAR-IIWBRen_US
cg.contributor.centerUnited State Department of Agriculture, Agricultural Research Service, Natural Resource Management Research - USDA-ARS Mandanen_US
cg.contributor.centerHudsonAlpha Institute for Biotechnologyen_US
cg.contributor.crpCRP on Dryland Cereals - DCen_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.regionNorthern Africaen_US
cg.coverage.regionNorthern Americaen_US
cg.coverage.countryINen_US
cg.coverage.countryMAen_US
cg.coverage.countryUSen_US
cg.contactS.Gyawali@cgiar.orgen_US
dc.identifier.statusOpen accessen_US
mel.project.openhttps://mel.cgiar.org/projects/216en_US


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