dc.contributor.author | Rabbi, I.Y. |
dc.contributor.author | Kayondo, S.I. |
dc.contributor.author | Bauchet, G. |
dc.contributor.author | Yusuf, M. |
dc.contributor.author | Aghogho, C.I. |
dc.contributor.author | Ogunpaimo, K. |
dc.contributor.author | Uwugiaren, R. |
dc.contributor.author | Smith, I.A. |
dc.contributor.author | Peteti, P. |
dc.contributor.author | Agbona, A. |
dc.contributor.author | Parkes, E. |
dc.contributor.author | Ezenwaka, L. |
dc.contributor.author | Wolfe, M. |
dc.contributor.author | Jannink, J.L. |
dc.contributor.author | Egesi, C. |
dc.contributor.author | Kulakow, P. |
dc.date.accessioned | 2021-01-22T10:09:25Z |
dc.date.available | 2021-01-22T10:09:25Z |
dc.date.issued | 2020 |
dc.identifier.citation | Rabbi, 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.issn | 0167-4412 |
dc.identifier.uri | https://hdl.handle.net/20.500.12478/7014 |
dc.description.abstract | Cassava (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.sponsorship | Bill & Melinda Gates Foundation |
dc.description.sponsorship | Department for International Development, United Kingdom |
dc.format.extent | 1-19 |
dc.language.iso | en |
dc.subject | Cassava |
dc.subject | Breeding |
dc.subject | Genomes |
dc.subject | Pest Resistance |
dc.subject | Disease Resistance |
dc.subject | Morphology |
dc.subject | Genotypes |
dc.subject | Plant Diseases |
dc.title | Genome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava |
dc.type | Journal Article |
cg.contributor.crp | Roots, Tubers and Bananas |
cg.contributor.affiliation | International Institute of Tropical Agriculture |
cg.contributor.affiliation | Boyce Thompson Institute |
cg.contributor.affiliation | National Root Crops Research Institute, Nigeria |
cg.contributor.affiliation | Cornell University |
cg.contributor.affiliation | United States Department of Agriculture |
cg.coverage.region | Africa |
cg.coverage.region | West Africa |
cg.coverage.country | Nigeria |
cg.coverage.hub | Headquarters and Western Africa Hub |
cg.researchtheme | Biometrics |
cg.researchtheme | Biotech and Plant Breeding |
cg.researchtheme | Plant Production and Health |
cg.identifier.bibtexciteid | RABBI:2020 |
cg.isijournal | ISI Journal |
cg.authorship.types | CGIAR and developing country institute |
cg.iitasubject | Agronomy |
cg.iitasubject | Cassava |
cg.iitasubject | Disease Control |
cg.iitasubject | Food Security |
cg.iitasubject | Genetic Improvement |
cg.iitasubject | Plant Breeding |
cg.iitasubject | Plant Diseases |
cg.iitasubject | Plant Genetic Resources |
cg.iitasubject | Plant Production |
cg.journal | Plant Molecular Biology |
cg.notes | Published online: 30 Jul 2020 |
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/10.1007/s11103-020-01038-3 |
cg.iitaauthor.identifier | Ismail Rabbi: 0000-0001-9966-2941 |
cg.iitaauthor.identifier | Kayondo Siraj Ismail: 0000-0002-3212-5727 |
cg.iitaauthor.identifier | Prasad Peteti: 0000-0002-6013-8947 |
cg.iitaauthor.identifier | E J Parkes: 0000-0003-4063-1483 |
cg.iitaauthor.identifier | Jean-Luc Jannink: 0000-0003-4849-628X |
cg.iitaauthor.identifier | Chiedozie Egesi: 0000-0002-9063-2727 |
cg.iitaauthor.identifier | Peter Kulakow: 0000-0002-7574-2645 |
cg.futureupdate.required | No |