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dc.contributorKang, Yichenen_US
dc.contributorDinglasan, Ericen_US
dc.contributorJambuthenne, Dilanien_US
dc.contributorRobinson, Hannahen_US
dc.contributorTao, Yongfuen_US
dc.contributorAble, Jasonen_US
dc.contributorChristopher, Jacken_US
dc.contributorVoss-Fels, Kai Peteren_US
dc.contributorBassi, Filippoen_US
dc.contributorHickey, Leeen_US
dc.creatorAlahmad, Samiren_US
dc.date.accessioned2023-01-19T19:42:38Z
dc.date.available2023-01-19T19:42:38Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationSamir Alahmad, Yichen Kang, Eric Dinglasan, Dilani Jambuthenne, Hannah Robinson, Yongfu Tao, Jason Able, Jack Christopher, Kai Peter Voss-Fels, Filippo Bassi, Lee Hickey. (1/6/2023). A multi-reference parent nested-association mapping population to dissect the genetics of quantitative traits in durum wheat. Genetic Resources and Crop Evolution, 70, pp. 1471-1485.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/67993
dc.description.abstractDurum wheat (Triticum durum Desf.) breeding programs face many challenges surrounding the development of stable varieties with high quality and yield. Therefore, researchers and breeders are focused on deciphering the genetic architecture of biotic and abiotic traits with the aim of pyramiding desirable traits. These efforts require access to diverse genetic resources, including wild relatives, germplasm collections and mapping populations. Advances in accelerated generation technologies have enabled the rapid development of mapping populations with significant genetic diversity. Here, we describe the development of a durum Nested Association Mapping (dNAM) population, which represents a valuable genetic resource for mapping the effects of different alleles on trait performance. We created this population to understand the quantitative nature of drought-adaptive traits in durum wheat. We developed 920 F6 lines in only 18 months using speed breeding technology, including the F4 generation in the field. Large variation in above- and below-ground traits was observed, which could be harnessed using genetic mapping and breeding approaches. We genotyped the population using 13,393 DArTseq markers. Quality control resulted in 6,785 high-quality polymorphic markers used for structure analysis, linkage disequilibrium decay, and marker-trait association analyses. To demonstrate the effectiveness of dNAM as a resource for elucidating the genetic control of quantitative traits, we took a genome-wide mapping approach using the FarmCPU method for plant height and days to flowering. These results highlight the power of using dNAM as a tool to dissect the genetics of durum wheat traits, supporting the development of varieties with improved adaptation and yield.en_US
dc.languageenen_US
dc.publisherSpringer (part of Springer Nature)en_US
dc.sourceGenetic Resources and Crop Evolution;70,(2022) Pagination 1471-1485en_US
dc.subjectld decayen_US
dc.subjectnamen_US
dc.subjectstructured populationen_US
dc.titleA multi-reference parent nested-association mapping population to dissect the genetics of quantitative traits in durum wheaten_US
dc.typeJournal Articleen_US
dcterms.available2022-12-15en_US
dcterms.extent1471-1485en_US
dcterms.issued2023-06-01en_US
cg.creator.idBassi, Filippo: 0000-0002-1164-5598en_US
cg.subject.agrovocflowering timeen_US
cg.subject.agrovocgwasen_US
cg.subject.agrovocplant heighten_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerUniversity of Adelaide - Adelaideen_US
cg.contributor.centerUniversity of Queensland, Queensland Alliance for Agriculture and Food Innovation - UQ - Qaafien_US
cg.contributor.centerUniversity of Queensland - UQen_US
cg.contributor.centerThe University of Queensland, School of Biological Sciences - UQ - SoBSen_US
cg.contributor.crpGenetic Innovation - GIen_US
cg.contributor.funderNot Applicableen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-dateTimelessen_US
cg.contactF.Bassi@cgiar.orgen_US
cg.identifier.doihttps://dx.doi.org/10.1007/s10722-022-01515-2en_US
cg.isijournalISI Journalen_US
dc.identifier.statusTimeless limited accessen_US
mel.impact-factor2en_US
cg.issn0925-9864en_US
cg.issn1573-5109en_US
cg.subject.sdgSDG 1 - No povertyen_US
cg.subject.actionAreaGenetic Innovationen_US
cg.subject.impactAreaClimate adaptation and mitigationen_US
cg.journalGenetic Resources and Crop Evolutionen_US
cg.volume70en_US
cg.contributor.initiativeAccelerated Breedingen_US


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