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dc.contributor.authorRabbi, I.Y.
dc.contributor.authorKayondo, S.I.
dc.contributor.authorBauchet, G.
dc.contributor.authorYusuf, M.
dc.contributor.authorAghogho, C.I.
dc.contributor.authorOgunpaimo, K.
dc.contributor.authorUwugiaren, R.
dc.contributor.authorSmith, I.A.
dc.contributor.authorPeteti, P.
dc.contributor.authorAgbona, A.
dc.contributor.authorParkes, E.
dc.contributor.authorEzenwaka, L.
dc.contributor.authorWolfe, M.
dc.contributor.authorJannink, J.L.
dc.contributor.authorEgesi, C.
dc.contributor.authorKulakow, P.
dc.date.accessioned2021-01-22T10:09:25Z
dc.date.available2021-01-22T10:09:25Z
dc.date.issued2020
dc.identifier.citationRabbi, I.Y., Kayondo, S.I., Bauchet, G., Muyideen, Y., Aghogho, C.I., Ogunpaimo, K., ... & Kulakow, P. (2020). Genome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava. Plant Molecular Biology, 1-19.
dc.identifier.issn0167-4412
dc.identifier.urihttps://hdl.handle.net/20.500.12478/7014
dc.description.abstractCassava (Manihot esculenta) is one of the most important starchy root crops in the tropics due to its adaptation to marginal environments. Genetic progress in this clonally propagated crop can be accelerated through the discovery of markers and candidate genes that could be used in cassava breeding programs. We carried out a genome-wide association study (GWAS) using a panel of 5,310 clones developed at the International Institute of Tropical Agriculture - Nigeria. The population was genotyped at more than 100,000 SNP markers via genotyping-by-sequencing (GBS). Genomic regions underlying genetic variation for 14 traits classified broadly into four categories: biotic stress (cassava mosaic disease and cassava green mite severity); quality (dry matter content and carotenoid content) and plant agronomy (harvest index and plant type). We also included several agro-morphological traits related to leaves, stems and roots with high heritability. In total, 41 significant associations were uncovered. While some of the identified loci matched with those previously reported, we present additional association signals for the traits. We provide a catalogue of favourable alleles at the most significant SNP for each trait-locus combination and candidate genes occurring within the GWAS hits. These resources provide a foundation for the development of markers that could be used in cassava breeding programs and candidate genes for functional validation.
dc.description.sponsorshipBill & Melinda Gates Foundation
dc.description.sponsorshipDepartment for International Development, United Kingdom
dc.format.extent1-19
dc.language.isoen
dc.subjectCassava
dc.subjectBreeding
dc.subjectGenomes
dc.subjectPest Resistance
dc.subjectDisease Resistance
dc.subjectMorphology
dc.subjectGenotypes
dc.subjectPlant Diseases
dc.titleGenome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava
dc.typeJournal Article
cg.contributor.crpRoots, Tubers and Bananas
cg.contributor.affiliationInternational Institute of Tropical Agriculture
cg.contributor.affiliationBoyce Thompson Institute
cg.contributor.affiliationNational Root Crops Research Institute, Nigeria
cg.contributor.affiliationCornell University
cg.contributor.affiliationUnited States Department of Agriculture
cg.coverage.regionAfrica
cg.coverage.regionWest Africa
cg.coverage.countryNigeria
cg.coverage.hubHeadquarters and Western Africa Hub
cg.researchthemeBiometrics
cg.researchthemeBiotech and Plant Breeding
cg.researchthemePlant Production and Health
cg.identifier.bibtexciteidRABBI:2020
cg.isijournalISI Journal
cg.authorship.typesCGIAR and developing country institute
cg.iitasubjectAgronomy
cg.iitasubjectCassava
cg.iitasubjectDisease Control
cg.iitasubjectFood Security
cg.iitasubjectGenetic Improvement
cg.iitasubjectPlant Breeding
cg.iitasubjectPlant Diseases
cg.iitasubjectPlant Genetic Resources
cg.iitasubjectPlant Production
cg.journalPlant Molecular Biology
cg.notesPublished online: 30 Jul 2020
cg.accessibilitystatusOpen Access
cg.reviewstatusPeer Review
cg.usagerightslicenseCreative Commons Attribution 4.0 (CC BY 0.0)
cg.targetaudienceScientists
cg.identifier.doihttps://dx.doi.org/10.1007/s11103-020-01038-3
cg.iitaauthor.identifierIsmail Rabbi: 0000-0001-9966-2941
cg.iitaauthor.identifierKayondo Siraj Ismail: 0000-0002-3212-5727
cg.iitaauthor.identifierPrasad Peteti: 0000-0002-6013-8947
cg.iitaauthor.identifierE J Parkes: 0000-0003-4063-1483
cg.iitaauthor.identifierJean-Luc Jannink: 0000-0003-4849-628X
cg.iitaauthor.identifierChiedozie Egesi: 0000-0002-9063-2727
cg.iitaauthor.identifierPeter Kulakow: 0000-0002-7574-2645
cg.futureupdate.requiredNo


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