Genomic regions conferring resistance to multiple fungal pathogens in synthetic hexaploid wheat. Molecular Breeding

cg.contactFrancis.Ogbonnaya@grdc.com.auen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerInternational Maize and Wheat Improvement Center - CIMMYTen_US
cg.contributor.centerGrains Research and Development Corporation - GRDCen_US
cg.contributor.centerCharles Sturt University - CSUen_US
cg.contributor.crpCGIAR Research Program on Wheat - WHEATen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectBiometrics and Statistics Sectionen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.creator.idSingh, Murari: 0000-0001-5450-0949en_US
cg.identifier.doihttps://dx.doi.org/10.1007/s11032-016-0541-4en_US
cg.isijournalISI Journalen_US
cg.issn1380-3743en_US
cg.issue9en_US
cg.journalMolecular Breedingen_US
cg.subject.agrovocWheaten_US
cg.volume36en_US
dc.contributorAlagu, Manickaveluen_US
dc.contributorMakdis, Fariden_US
dc.contributorSingh, Murarien_US
dc.contributorSingh, Sukhwinderen_US
dc.contributorEmebiri, Livinus C.en_US
dc.contributorOgbonnaya, Francis Chuksen_US
dc.creatorJighly, Abdul-Qaderen_US
dc.date.accessioned2017-01-15T09:39:56Z
dc.date.available2017-01-15T09:39:56Z
dc.description.abstractFungal diseases are among the most devastating biotic stresses and often cause significant losses in wheat production worldwide. A set of 173 synthetic hexaploid wheat (SHW) characterized for resistance against fungal pathogens that cause leaf, stem and yellow rusts, yellow leaf spot, Septoria nodorum and crown rot were used in genome-wide association study (GWAS). Diversity Arrays Technology (DArT) and DArTSeq markers were employed for marker–trait association in which 74 markers associated with 35 quantitative trait loci (QTL) were found to be significantly linked with disease resistances using a unified mixed model (P = 10−3 to 10−5); Of these 15 QTL originated from D genome. Six markers on 1BL, 3BS, 4BL, 6B, and 6D conferred resistance to two diseases representing 10 of the 35 QTL. A further set of 147 SHW genotyped with DArT only markers validated 11 QTL detected in the previous 173 SHW. We also confirmed the presence of the gene Lr46/Yr29/Sr58/Pm39/Ltn2 on 1BL in the SHW germplasm. In addition, gene–gene interactions between significantly associated loci and all loci across the genome revealed five significant interactions at FDR <0.05. Two significant leaf rust and one stem rust interactions were thought to be synergistic, while another two QTL for yellow leaf spot involved antagonistic relations. To the best of our knowledge, this is the first GWAS for six fungal diseases using SHW. Identification of markers associated with disease resistance to one or more diseases represents an important resource for pyramiding favorable alleles and introducing multiple disease resistance from SHW accessions into current elite wheat cultivarsen_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/jxbjeIXp/v/45b729800b349da35e18edefd1514b25en_US
dc.identifier.citationAbdul-Qader Jighly, Manickavelu Alagu, Farid Makdis, Murari Singh, Sukhwinder Singh, Livinus C. Emebiri, Francis Chuks Ogbonnaya. (16/8/2016). Genomic regions conferring resistance to multiple fungal pathogens in synthetic hexaploid wheat. Molecular Breeding. Molecular Breeding, 36 (9).en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5491
dc.languageenen_US
dc.publisherSpringer Verlag (Germany)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceMolecular Breeding;36,(2016)en_US
dc.subjectgenotypic correlationen_US
dc.subjectselection indicesen_US
dc.titleGenomic regions conferring resistance to multiple fungal pathogens in synthetic hexaploid wheat. Molecular Breedingen_US
dc.typeJournal Articleen_US
dcterms.available2016-08-16en_US
mel.impact-factor2.108en_US
mel.project.openhttps://mel.cgiar.org/projects/102en_US

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