Trait-Based Clustering and Environmental Responsiveness of Pro-Vitamin A Cassava Genotypes via Finlay-Wilkinson Regression-Crop Breeding, Genetics and Genomics-CSCIED科技核心评价数据库-手机版

Trait-Based Clustering and Environmental Responsiveness of Pro-Vitamin A Cassava Genotypes via Finlay-Wilkinson Regression

Trait-Based Clustering and Environmental Responsiveness of Pro-Vitamin A Cassava Genotypes via Finlay-Wilkinson Regression

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DOI	10.20900/cbgg20250014
刊名	Crop Breeding, Genetics and Genomics CBGG
年，卷(期)	, 7(4)
作者	Olusegun Badewa*,Elizabeth Parkes,Andrew Gana,Eli Tsado,Kehinde Tolorunse,Peter Iluebbey,Patrick Akpotuzor,Toye Ayankanmi,
作者单位	Cassava Operations, Deko Holdings, Benin City 300001, Nigeria ; Cassava Breeding Unit, International Institute of Tropical Agriculture, Ibadan 630113, Nigeria ; Department of Crop Production, Federal University of Technology, Minna 963101, Nigeria ;
摘要	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.
Abstract	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.
关键词	cassava genotypes; yield stability; Finlay–Wilkinson regression; environmental responsiveness; cluster analysis; dendrogram profiling; genotype × environment interaction; breeding strategies; agroecological adaptation
KeyWord	cassava genotypes; yield stability; Finlay–Wilkinson regression; environmental responsiveness; cluster analysis; dendrogram profiling; genotype × environment interaction; breeding strategies; agroecological adaptation
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Olusegun Badewa*,Elizabeth Parkes,Andrew Gana,Eli Tsado,Kehinde Tolorunse,Peter Iluebbey,Patrick Akpotuzor,Toye Ayankanmi. Trait-Based Clustering and Environmental Responsiveness of Pro-Vitamin A Cassava Genotypes via Finlay-Wilkinson Regression [J]. Crop Breeding, Genetics and Genomics. ; 7; (4). - .

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