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 ;
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.
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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引用本文

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, Crop Breeding, Genetics and Genomics. ; 7; (4). https://doi.org/10.20900/cbgg20250014.

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