dc.contributor.author | Ewa, F.* |
dc.contributor.author | Asiwe, J.A.N. |
dc.contributor.author | Okogbenin, E. |
dc.contributor.author | Ogbonna, A.C. |
dc.contributor.author | Egesi, C. |
dc.date.accessioned | 2021-07-01T14:56:40Z |
dc.date.available | 2021-07-01T14:56:40Z |
dc.date.issued | 2021 |
dc.identifier.citation | Ewa, 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.issn | 2045-2322 |
dc.identifier.uri | https://hdl.handle.net/20.500.12478/7153 |
dc.description.abstract | Cassava 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.sponsorship | Generation Challenge Program |
dc.format.extent | 1-15 |
dc.language.iso | en |
dc.subject | Cassava |
dc.subject | Starch |
dc.subject | Phenotypes |
dc.subject | Genotypes |
dc.subject | Quantitative Trait Loci |
dc.subject | Breeding |
dc.subject | Subsaharan Africa |
dc.title | KASPar SNP genetic map of cassava for QTL discovery of productivity traits in moderate drought stress environment in Africa |
dc.type | Journal Article |
cg.contributor.crp | Roots, Tubers and Bananas |
cg.contributor.affiliation | University of Limpopo |
cg.contributor.affiliation | African Agricultural Technology Foundation, Kenya |
cg.contributor.affiliation | Cornell University |
cg.contributor.affiliation | International Institute of Tropical Agriculture |
cg.coverage.region | Africa |
cg.coverage.region | West Africa |
cg.coverage.country | Nigeria |
cg.coverage.hub | Eastern Africa Hub |
cg.coverage.hub | Headquarters and Western Africa Hub |
cg.researchtheme | Biotech and Plant Breeding |
cg.identifier.bibtexciteid | EWA:2021 |
cg.isijournal | ISI Journal |
cg.authorship.types | CGIAR and developing country institute |
cg.iitasubject | Agronomy |
cg.iitasubject | Cassava |
cg.iitasubject | Food Security |
cg.iitasubject | Plant Breeding |
cg.iitasubject | Plant Production |
cg.journal | Scientific Reports |
cg.notes | Open Access Journal; Published online: 28 May 2021 |
cg.accessibilitystatus | Open Access |
cg.reviewstatus | Peer Review |
cg.usagerightslicense | Creative Commons Attribution 4.0 (CC BY 0.0) |
cg.targetaudience | Scientists |
cg.identifier.doi | https://dx.doi.org/10.1038/s41598-021-90131-8 |
cg.iitaauthor.identifier | Chiedozie Egesi: 0000-0002-9063-2727 |
cg.futureupdate.required | No |
cg.identifier.issue | 1: 11268 |
cg.identifier.volume | 11 |