Genotype by Environment Interaction and Grain Yield Stability of Pigeon Pea Genotypes in the Northern Regions of Ghana

Genotype‐by‐environment interaction (GEI) significantly influences crop performance, particularly in breeding programs targeting diverse agroecologies. This study aimed to evaluate genotype stability, agronomic trait interrelationships, and adaptability in test environments. Multienvironment trials involving genotypes of pigeon pea identified stable and high‐yielding genotypes such as L_2015_2, with strong adaptability across environments. The “which‐won‐where” analysis revealed distinct mega‐environments, emphasizing the importance of environment‐specific breeding strategies. Environment Nyan_2022 was the most discriminative and representative, providing optimal conditions for genotype evaluation and selection. Correlation analysis showed significant positive relationships between yield and traits such as seeds per pod and seed weight, highlighting these as key yield determinants. Moderate positive associations between days to 50% flowering, days to maturity, and yield further underscore the role of phenological traits in influencing yield. However, early emergence traits showed negative correlations with yield, indicating potential trade‐offs between early vigor and reproductive success. These findings align with the existing literature and underscore the need for stability‐focused breeding, environment‐specific genotypic deployment, and trait‐based selection indices. The study concludes that integrating GEI analysis with targeted trait improvement and optimized testing environments is pivotal for sustainable crop yield under varying agroecological environments.

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Publication Details

Journal
International Journal of Agronomy
Published
2025-01-01
DOI
https://doi.org/10.1155/ioa/9407802
Primary Topic
Agricultural pest management studies
Type
article
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article

Genotype by Environment Interaction and Grain Yield Stability of Pigeon Pea Genotypes in the Northern Regions of Ghana

A. M. Nuhu, Francisca Addae‐Frimpomaah, Nicholas N. Denwar, Emmanuel Amponsah Adjei et al.
1 links
International Journal of Agronomy
Agricultural pest management studies
article

Genotype by Environment Interaction and Grain Yield Stability of Pigeon Pea Genotypes in the Northern Regions of Ghana

A. M. Nuhu, Francisca Addae‐Frimpomaah, Nicholas N. Denwar, Emmanuel Amponsah Adjei, Gloria A. Adazebra, Ophelia Asirifi Amoako, Francis Kusi, Jolene Nyako, Duut Matey
article en

Abstract

Genotype‐by‐environment interaction (GEI) significantly influences crop performance, particularly in breeding programs targeting diverse agroecologies. This study aimed to evaluate genotype stability, agronomic trait interrelationships, and adaptability in test environments. Multienvironment trials involving genotypes of pigeon pea identified stable and high‐yielding genotypes such as L_2015_2, with strong adaptability across environments. The “which‐won‐where” analysis revealed distinct mega‐environments, emphasizing the importance of environment‐specific breeding strategies. Environment Nyan_2022 was the most discriminative and representative, providing optimal conditions for genotype evaluation and selection. Correlation analysis showed significant positive relationships between yield and traits such as seeds per pod and seed weight, highlighting these as key yield determinants. Moderate positive associations between days to 50% flowering, days to maturity, and yield further underscore the role of phenological traits in influencing yield. However, early emergence traits showed negative correlations with yield, indicating potential trade‐offs between early vigor and reproductive success. These findings align with the existing literature and underscore the need for stability‐focused breeding, environment‐specific genotypic deployment, and trait‐based selection indices. The study concludes that integrating GEI analysis with targeted trait improvement and optimized testing environments is pivotal for sustainable crop yield under varying agroecological environments.

International Journal of AgronomyVol. 2025(1)
Council for Scientific and Industrial Research (GH)
Openalex Percentile: Top 83%
Agricultural pest management studies
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