| dc.contributor.author | Moukoumbi, Y.D. |
| dc.contributor.author | Bayendi Loudit, S.M. |
| dc.contributor.author | Sikirou, M. |
| dc.contributor.author | Mboj, D. |
| dc.contributor.author | Hussain, T. |
| dc.contributor.author | Bocco, R. |
| dc.contributor.author | Manneh, B. |
| dc.date.accessioned | 2024-01-08T12:24:42Z |
| dc.date.available | 2024-01-08T12:24:42Z |
| dc.date.issued | 2023 |
| dc.identifier.citation | Moukoumbi, Y.D., Bayendi Loudit, S.M., Sikirou, M., Mboj, D., Hussain, T., Bocco, R. & Manneh, B. (2023). Evaluation of genotypic variability and analysis of yield and its components in irrigated rice to stabilize yields in the Senegal river valley affected by climate change. Agronomy, 13(9): 2218, 1-15. |
| dc.identifier.issn | 2073-4395 |
| dc.identifier.uri | https://hdl.handle.net/20.500.12478/8365 |
| dc.description.abstract | Rice is an important cereal crop in many countries, but its production in the Senegal River Valley is hampered by adverse climatic conditions. This study was aimed at evaluating the diversity among genotypes and the association between several phenological and yield attributes of irrigated rice to mitigate the consequences of climate change. During the dry season of 2013–2014, 300 irrigated high yielding oryza sativa indica panel were used in an Alpha-lattice experiment at the Ndiaye research station in Senegal. Results revealed considerable differences between genotypes in yield and yield attributes. Grain yields ranged between 1378 and 9776 kg/ha. There were also substantial differences in the genotypic and phenotypic coefficients of variation, broad-sense heritability, genetic advance, and genetic advance as a percentage of the mean between evaluated traits. Days to heading (DH) had a higher broad-sense heritability (67.31%), indicating that the chances of transferring this trait for selection purposes will be higher, and genotypes may be used to generate early or late flowering lines. Significant positive and negative correlations were found between the studied traits and grain yield. Path analysis indicated that the maximum positive direct impact was observed with the harvest index (0.256), and the maximum negative direct effect was observed with the days to heading (−0.142). Results showed that 56 accessions outperformed the local check Giza 178, whose yield was 8987 kg/ha. Using principal component analysis and a dendrogram, genotypes were classified into four groups. The plant materials had significant variability and may be utilized to develop desired features in rice-breeding programs. |
| dc.description.sponsorship | The Global Rice Science Partnership |
| dc.format.extent | 1-15 |
| dc.language.iso | en |
| dc.subject | Rice |
| dc.subject | Genotypes |
| dc.subject | Genetic Gain |
| dc.subject | Analysis |
| dc.subject | Heritability |
| dc.subject | Component Analysis |
| dc.subject | Selection |
| dc.title | Evaluation of genotypic variability and analysis of yield and its components in irrigated rice to stabilize yields in the Senegal river valley affected by climate change |
| dc.type | Journal Article |
| cg.contributor.affiliation | Institut de Recherches Agronomiques et Forestières, Gabon |
| cg.contributor.affiliation | Africa Rice Center |
| cg.contributor.affiliation | International Institute of Tropical Agriculture |
| cg.coverage.region | Africa |
| cg.coverage.region | West Africa |
| cg.coverage.country | Senegal |
| cg.coverage.hub | Headquarters and Western Africa Hub |
| cg.identifier.bibtexciteid | MOUKOUMBI:2023 |
| cg.isijournal | ISI Journal |
| cg.authorship.types | CGIAR and developing country institute |
| cg.iitasubject | Agronomy |
| cg.iitasubject | Climate Change |
| cg.iitasubject | Food Security |
| cg.iitasubject | Plant Genetic Resources |
| cg.journal | Agronomy |
| cg.notes | Open Access Journal |
| 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://doi.org/10.3390/agronomy13092218 |
| cg.iitaauthor.identifier | Mouritala Sikirou: 0000-0002-5164-6456 |
| cg.futureupdate.required | No |
| cg.identifier.issue | 9: 2218 |
| cg.identifier.volume | 13 |
| cg.contributor.acknowledgements | “The costs of publishing this article in Open Access were paid with support from the One CGIAR Excellence in Agronomy (EiA) initiative”. The authors thank the management of AfricaRice for fi-nancing this research throughout the GrisP Program. We also thank the Genetic Resources Unit (GRU) of AfricaRice and NARS partners such as ISRA (Senegal) and IER (Mali) for providing some seed samples. We are grateful for the kind collaboration of Yedomon Ange Bovys
Zoclanclounon in data analysis. A particular thank goes to the field team for the assessment activities. |
