Trait-based clustering and environmental responsiveness of pro-vitamin a cassava genotypes via Finlay-Wilkinson regression
This study evaluated the yield stability and environmental responsiveness of 42 pro-vitamin A cassava genotypes across multi-season trials using Finlay-Wilkinson (FW) regression and trait-based clustering approaches. Regression parameters-intercept and slope were used to quantify baseline yield pote...
| Autores principales: | , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/180287 |
| _version_ | 1855538229808201728 |
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| author | Badewa, O. Parkes, E. Gana, A. Tsado, E. Tolorunse, K. Iluebbey, P. Akpotuzor, P. Ayankanmi, T. |
| author_browse | Akpotuzor, P. Ayankanmi, T. Badewa, O. Gana, A. Iluebbey, P. Parkes, E. Tolorunse, K. Tsado, E. |
| author_facet | Badewa, O. Parkes, E. Gana, A. Tsado, E. Tolorunse, K. Iluebbey, P. Akpotuzor, P. Ayankanmi, T. |
| author_sort | Badewa, O. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study evaluated the yield stability and environmental responsiveness of 42 pro-vitamin A cassava genotypes across multi-season trials using Finlay-Wilkinson (FW) regression and trait-based clustering approaches. Regression parameters-intercept and slope were used to quantify baseline yield potential and sensitivity to environmental variation, respectively. Hierarchical and k-means clustering grouped genotypes into three biologically distinct clusters with clear agronomic relevance. Cluster 2 genotypes exhibited moderate responsiveness and positive yield baselines, indicating broad adaptability and suitability for regional deployment. Cluster 3 showed high environmental sensitivity but low yield potential, suggesting limited resilience under marginal conditions. Cluster 1 comprised highly responsive genotypes with poor baseline productivity, reflecting unstable performance and strong genotype × environment interaction. One-way ANOVA confirmed significant differences among clusters for both slope (F(2,39) = 40.89, p < 0.001) and intercept (F(2,39) = 102.10, p < 0.001), validating the clustering structure. The dendrogram confirmed the cluster structure and provided a basis for selecting key genotypes. The results inform environment-specific breeding strategies and emphasize the importance of integrating multiple traits into future clustering approaches to improve cultivar selection accuracy. |
| format | Journal Article |
| id | CGSpace180287 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1802872026-01-22T02:14:54Z Trait-based clustering and environmental responsiveness of pro-vitamin a cassava genotypes via Finlay-Wilkinson regression Badewa, O. Parkes, E. Gana, A. Tsado, E. Tolorunse, K. Iluebbey, P. Akpotuzor, P. Ayankanmi, T. cassava genotypes yields genotype environment interaction breeding This study evaluated the yield stability and environmental responsiveness of 42 pro-vitamin A cassava genotypes across multi-season trials using Finlay-Wilkinson (FW) regression and trait-based clustering approaches. Regression parameters-intercept and slope were used to quantify baseline yield potential and sensitivity to environmental variation, respectively. Hierarchical and k-means clustering grouped genotypes into three biologically distinct clusters with clear agronomic relevance. Cluster 2 genotypes exhibited moderate responsiveness and positive yield baselines, indicating broad adaptability and suitability for regional deployment. Cluster 3 showed high environmental sensitivity but low yield potential, suggesting limited resilience under marginal conditions. Cluster 1 comprised highly responsive genotypes with poor baseline productivity, reflecting unstable performance and strong genotype × environment interaction. One-way ANOVA confirmed significant differences among clusters for both slope (F(2,39) = 40.89, p < 0.001) and intercept (F(2,39) = 102.10, p < 0.001), validating the clustering structure. The dendrogram confirmed the cluster structure and provided a basis for selecting key genotypes. The results inform environment-specific breeding strategies and emphasize the importance of integrating multiple traits into future clustering approaches to improve cultivar selection accuracy. 2025 2026-01-21T11:48:25Z 2026-01-21T11:48:25Z Journal Article https://hdl.handle.net/10568/180287 en Open Access application/pdf Badewa, O., Parkes, E., Gana, A., Tsado, E., Tolorunse, K., Iluebbey, P., ... & Ayankanmi, T. (2025). Trait-based clustering and environmental responsiveness of pro-vitamin A cassava genotypes via Finlay-Wilkinson regression. Crop Breeding, Genetics and Genomics, 7(4): e250014, 1-20. |
| spellingShingle | cassava genotypes yields genotype environment interaction breeding Badewa, O. Parkes, E. Gana, A. Tsado, E. Tolorunse, K. Iluebbey, P. Akpotuzor, P. Ayankanmi, T. Trait-based clustering and environmental responsiveness of pro-vitamin a cassava genotypes via Finlay-Wilkinson regression |
| title | Trait-based clustering and environmental responsiveness of pro-vitamin a cassava genotypes via Finlay-Wilkinson regression |
| title_full | Trait-based clustering and environmental responsiveness of pro-vitamin a cassava genotypes via Finlay-Wilkinson regression |
| title_fullStr | Trait-based clustering and environmental responsiveness of pro-vitamin a cassava genotypes via Finlay-Wilkinson regression |
| title_full_unstemmed | Trait-based clustering and environmental responsiveness of pro-vitamin a cassava genotypes via Finlay-Wilkinson regression |
| title_short | Trait-based clustering and environmental responsiveness of pro-vitamin a cassava genotypes via Finlay-Wilkinson regression |
| title_sort | trait based clustering and environmental responsiveness of pro vitamin a cassava genotypes via finlay wilkinson regression |
| topic | cassava genotypes yields genotype environment interaction breeding |
| url | https://hdl.handle.net/10568/180287 |
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