dc.contributor.author | Mahamane, A.O. |
dc.contributor.author | Olasanmi, B. |
dc.contributor.author | Udemba, I.O. |
dc.contributor.author | Mbanjo, E.G.N. |
dc.date.accessioned | 2024-11-08T12:16:43Z |
dc.date.available | 2024-11-08T12:16:43Z |
dc.date.issued | 2024-06-19 |
dc.identifier.citation | Mahamane, A.R.O., Olasanmi, B., Oluwadamilola, U.I...& Mbanjo, E.G.N. (2024). Variation among cassava (Manihot esculenta Crantz) genotypes for storage root yield, yield components and response to cassava mosaic disease at advanced breeding stage.16(2), 922-927. |
dc.identifier.issn | 0974-9411 |
dc.identifier.uri | https://hdl.handle.net/20.500.12478/8641 |
dc.description.abstract | Cassava is a crucial starchy root crop cultivated worldwide in tropical and subtropical areas. Efforts have been made to improve its desirable characteristics to increase food and nutritional quality. However, the adoption of new cassava varieties can be influenced by their yield performance, which can be affected by cassava mosaic disease (CMD). The present study evaluated selected cassava genotypes' performance across two years at the advanced breeding stage. Using a randomized complete block design with two replications, 16 genotypes, a yellow root variety (TMS07/0593) and a white root (TMS30572) as checks were evaluated for yield, yield-related traits and response to CMD. There were highly significant (P < 0.001) variations among the cassava genotypes for yield-related traits, but no genetic variation was reported for fresh and dry root yields. The effect of season and genotypes × season interaction on all traits was significant only for harvest index and percentage of survival plants, respectively. Only genotype UIC-17-2428 and the two national check varieties (TMS07/0593 and TMS30572) did not resist CMD completely. At harvest, genotype UIC-17-2031 had the highest fresh root yield (39.0 t/ha), dry root yield (10.5 t/ha), and harvest index (0.63). Genotype UIC-17-58 had the highest dry matter content (37.2%) at harvesting, followed by UIC-17-46 (36.4%) while genotype UIC-17-583 had the lowest value (22.8%). The genotypes evaluated have promising premium agronomic traits. To assess their stability, genotypes with outstanding dry root yield must be evaluated across multiple environment |
dc.description.sponsorship | African Union Commission |
dc.description.sponsorship | African Development Bank |
dc.format.extent | 922-927 |
dc.language.iso | en |
dc.subject | Cassava |
dc.subject | Yields |
dc.subject | Diseases |
dc.subject | Root Crops |
dc.subject | Varieties |
dc.subject | Genotypes |
dc.subject | Seasons |
dc.subject | Africa |
dc.subject | Storage Roots |
dc.subject | Dry Matter Content |
dc.subject | Harvest Index |
dc.title | Variation among cassava (Manihot esculenta Crantz) genotypes for storage root yield, yield components and response to cassava mosaic disease at the advanced breeding stage |
dc.type | Journal Article |
cg.contributor.crp | Agriculture for Nutrition and Health |
cg.contributor.affiliation | Pan African University Life and Earth Sciences Institute |
cg.contributor.affiliation | University of Ibadan |
cg.contributor.affiliation | Obafemi Awolowo 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 | Headquarters and Western Africa Hub |
cg.identifier.bibtexciteid | MAHAMANE:2024 |
cg.isijournal | ISI Journal |
cg.authorship.types | CGIAR and advanced research institute |
cg.iitasubject | Agronomy |
cg.iitasubject | Cassava |
cg.iitasubject | Crop Systems |
cg.iitasubject | Disease Control |
cg.iitasubject | Food Security |
cg.iitasubject | Genetic Improvement |
cg.iitasubject | Plant Breeding |
cg.iitasubject | Plant Diseases |
cg.journal | Journal of Applied and Natural Science |
cg.notes | Open Access Article |
cg.accessibilitystatus | Open Access |
cg.reviewstatus | Peer Review |
cg.usagerightslicense | Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) |
cg.targetaudience | Scientists |
cg.identifier.doi | https://doi.org/10.31018/jans.v16i2.5500 |
cg.iitaauthor.identifier | Bunmi Olasanmi: 0000-0002-8427-7992 |
cg.iitaauthor.identifier | Gaby Mbanjo: 0000-0002-9982-1137 |
cg.futureupdate.required | No |
cg.identifier.issue | 2 |
cg.identifier.volume | 16 |