Harnessing genotype-by-environment interaction to determine adaptability of advanced cowpea lines to multiple environments in Uganda
This study was conducted to determine the yield stability of advanced cowpea lines in diverse agro-ecological zones of Uganda in order to facilitate documentation requirements for national performance trials (NPT). Thirty cowpea genotypes were evaluated against six checks in three localities, over t...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Academic Journals
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/119375 |
| _version_ | 1855527649427849216 |
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| author | Abiriga, F. Ongom, P.O. Rubaihayo, P.R. Edema, Richard Gibson, P.T. Dramadri, I. Orawu, M. |
| author_browse | Abiriga, F. Dramadri, I. Edema, Richard Gibson, P.T. Ongom, P.O. Orawu, M. Rubaihayo, P.R. |
| author_facet | Abiriga, F. Ongom, P.O. Rubaihayo, P.R. Edema, Richard Gibson, P.T. Dramadri, I. Orawu, M. |
| author_sort | Abiriga, F. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study was conducted to determine the yield stability of advanced cowpea lines in diverse agro-ecological zones of Uganda in order to facilitate documentation requirements for national performance trials (NPT). Thirty cowpea genotypes were evaluated against six checks in three localities, over three growing seasons, making a total of 9 unique environments. The trials were laid in a 6x6 alpha lattice design with three replications and grain yield was the principal trait measured. Single-site and multi-location data were summarized using analysis of variance. Further analysis of stability was visualized using the genotype and genotype by environment interaction (GGE) biplot and the additive main effect and multiplicative interaction (AMMI) models. ANOVA depicted highly significant differences among the genotypes, locations, seasons and GEI for grain yield. Based on AMMI analysis, environmental effect accounted for the most variation (84.7%) in the phenotype followed by GE (9.45%) and genotypes (4.45%), alluding to the complex inheritance of grain yield in cowpea. The polygon view and the average environment coordination view of the GGE biplot revealed Ayiyi as the wining genotype in the major mega environment and the most stable and high yielding across environments respectively. The genotypes Ayiyi, WC64 and ALEGIxACC2 yielded higher than the checks and were very stable. The other genotypes G36 (WC 36), G3 (ACC12xSECOW3B), G32 (WC16), and G14 (MU9) did not outperform the checks but displayed high yield stability and the mean yields were above the overall average. These genotypes were considered desirable for advancement to National Performance Trial for potential release as new improved cowpea cultivars. |
| format | Journal Article |
| id | CGSpace119375 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Academic Journals |
| publisherStr | Academic Journals |
| record_format | dspace |
| spelling | CGSpace1193752025-11-11T10:30:44Z Harnessing genotype-by-environment interaction to determine adaptability of advanced cowpea lines to multiple environments in Uganda Abiriga, F. Ongom, P.O. Rubaihayo, P.R. Edema, Richard Gibson, P.T. Dramadri, I. Orawu, M. cowpeas genotypes environment vigna unguiculata stability yields uganda genotype environment interaction This study was conducted to determine the yield stability of advanced cowpea lines in diverse agro-ecological zones of Uganda in order to facilitate documentation requirements for national performance trials (NPT). Thirty cowpea genotypes were evaluated against six checks in three localities, over three growing seasons, making a total of 9 unique environments. The trials were laid in a 6x6 alpha lattice design with three replications and grain yield was the principal trait measured. Single-site and multi-location data were summarized using analysis of variance. Further analysis of stability was visualized using the genotype and genotype by environment interaction (GGE) biplot and the additive main effect and multiplicative interaction (AMMI) models. ANOVA depicted highly significant differences among the genotypes, locations, seasons and GEI for grain yield. Based on AMMI analysis, environmental effect accounted for the most variation (84.7%) in the phenotype followed by GE (9.45%) and genotypes (4.45%), alluding to the complex inheritance of grain yield in cowpea. The polygon view and the average environment coordination view of the GGE biplot revealed Ayiyi as the wining genotype in the major mega environment and the most stable and high yielding across environments respectively. The genotypes Ayiyi, WC64 and ALEGIxACC2 yielded higher than the checks and were very stable. The other genotypes G36 (WC 36), G3 (ACC12xSECOW3B), G32 (WC16), and G14 (MU9) did not outperform the checks but displayed high yield stability and the mean yields were above the overall average. These genotypes were considered desirable for advancement to National Performance Trial for potential release as new improved cowpea cultivars. 2020-04 2022-04-25T09:11:33Z 2022-04-25T09:11:33Z Journal Article https://hdl.handle.net/10568/119375 en Open Access application/pdf Academic Journals Abiriga, F., Ongom, P.O., Rubaihayo, P.R., Edema, R., Gibson, P.T., Dramadri, I. & Orawu, M. (2020). Harnessing genotype-by-environment interaction to determine adaptability of advanced cowpea lines to multiple environments in Uganda. Journal of Plant Breeding and Crop Science, 12(2), 131-145. |
| spellingShingle | cowpeas genotypes environment vigna unguiculata stability yields uganda genotype environment interaction Abiriga, F. Ongom, P.O. Rubaihayo, P.R. Edema, Richard Gibson, P.T. Dramadri, I. Orawu, M. Harnessing genotype-by-environment interaction to determine adaptability of advanced cowpea lines to multiple environments in Uganda |
| title | Harnessing genotype-by-environment interaction to determine adaptability of advanced cowpea lines to multiple environments in Uganda |
| title_full | Harnessing genotype-by-environment interaction to determine adaptability of advanced cowpea lines to multiple environments in Uganda |
| title_fullStr | Harnessing genotype-by-environment interaction to determine adaptability of advanced cowpea lines to multiple environments in Uganda |
| title_full_unstemmed | Harnessing genotype-by-environment interaction to determine adaptability of advanced cowpea lines to multiple environments in Uganda |
| title_short | Harnessing genotype-by-environment interaction to determine adaptability of advanced cowpea lines to multiple environments in Uganda |
| title_sort | harnessing genotype by environment interaction to determine adaptability of advanced cowpea lines to multiple environments in uganda |
| topic | cowpeas genotypes environment vigna unguiculata stability yields uganda genotype environment interaction |
| url | https://hdl.handle.net/10568/119375 |
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