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dc.contributor.authorEwa, F.*
dc.contributor.authorAsiwe, J.A.N.
dc.contributor.authorOkogbenin, E.
dc.contributor.authorOgbonna, A.C.
dc.contributor.authorEgesi, C.
dc.date.accessioned2021-07-01T14:56:40Z
dc.date.available2021-07-01T14:56:40Z
dc.date.issued2021
dc.identifier.citationEwa, F., Asiwe, J.N., Okogbenin, E., Ogbonna, A.C. & Egesi, C. (2021). KASPar SNP genetic map of cassava for QTL discovery of productivity traits in moderate drought stress environment in Africa. Scientific Reports, 11(1), 11268: 1-15.
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7153
dc.description.abstractCassava is an important staple in Sub-Sahara Africa. While its production has rapidly expanded to the dry savannahs of the continent, productivity is low in this ecology due to drought by farmers, extending the growth cycle from 12 months to 18, and sometimes 24 months to ensure better harvests. Yield is a complex trait and often difficult to manipulate for genetic gain in conventional breeding. Unfortunately, the dearth of molecular tools for decades has hampered molecular breeding (MB) to improve cassava productivity. This study was conducted to explore KASpar SNPs to generate more molecular tools to enhance genetic dissection of elite African germplasm for improved cassava productivity in dry environments of Africa where molecular resources are highly limited for crop improvement. To aid molecular genetic analysis of traits, a linkage map covering 1582.8 cM with an average resolution of 3.69 cM was constructed using 505 polymorphic SNP markers distributed over 21 linkage groups. Composite interval mapping using 267 F1 progeny in initial QTL mapping identified 27 QTLs for productivity traits in the dry savannah of Nigeria. The availability of KASPar SNPs are anticipated to improve the implementation of MB for the development of high performing drought-tolerant cassava varieties in Africa.
dc.description.sponsorshipGeneration Challenge Program
dc.format.extent1-15
dc.language.isoen
dc.subjectCassava
dc.subjectStarch
dc.subjectPhenotypes
dc.subjectGenotypes
dc.subjectQuantitative Trait Loci
dc.subjectBreeding
dc.subjectSubsaharan Africa
dc.titleKASPar SNP genetic map of cassava for QTL discovery of productivity traits in moderate drought stress environment in Africa
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationUniversity of Limpopo
cg.contributor.affiliationAfrican Agricultural Technology Foundation, Kenya
cg.contributor.affiliationCornell University
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubEastern Africa Hub
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiotech and Plant Breeding
cg.identifier.bibtexciteidEWA:2021
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectCassava
cg.iitasubjectFood Security
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Production
cg.journalScientific Reports
cg.notesOpen Access Journal; Published online: 28 May 2021
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1038/s41598-021-90131-8
cg.iitaauthor.identifierChiedozie Egesi: 0000-0002-9063-2727
cg.futureupdate.requiredNo
cg.identifier.issue1: 11268
cg.identifier.volume11


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