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"Phenotypic stability"

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"Phenotypic stability"

Research Articles
Phenotypic Stability for Selected Traits of Some Cowpea Lines in Nigerian Agro-ecologies
Mohammed F. Ishiyaku, Victoria M. Yilwa, Bir B. Singh, Olusoji O. Olufajo, Aminu A. Zaria
Plant Breed. Biotech. 2017;5(2):67-77.   Published online June 1, 2017
DOI: https://doi.org/10.9787/PBB.2017.5.2.67

Eight advanced breeding lines of cowpea [Vigna unguiculata (L.) Walp.] were evaluated in a multi-environment trial for phenotypic stability of grain yield, maturity and grain size. There was highly significant genotype × environment interaction for all traits. Simple correlation coefficient was computed to ascertain the level of relationship between stability parameters and agronomic traits. Line IT93K-452-1 was identified as most stable genotype and can be grown all over the Nigerian cowpea belt. The line IT90K-503-1 was the most unstable genotype in terms of grain yield and was also nonresponsive to the environment. However, it is environment specific. IT93K-452-1 has relatively stable maturity across environments. The result suggests that IT93K-452-1 will mature around the average of 65 days irrespective of the location in Nigeria. Lines IT95K-1455 and IT90K-503-1, whose stability parameter values were high, means that in respect of maturity, they are photo-thermo sensitive. They can mature early or delayed depending on the photo-thermal environment. However, lines such as IT93K-273-2-1, IT93K-129-4, IT93K-452-1 and IT86D-719 are photo-thermo insensitive. Line IT93K-1543 was identified as the most desirable genotype in terms of grain size. This is followed by IT93K-452-1. The line IT90K-503-1 had small but unstable seed size. This work identified IT93K-452-1 and IT93K-273-2-1 as the most stable genotypes for yield and maturity. Grain yield was highly positively correlated with bi and R2 but was negatively correlated with Sd2i. Maturity was negatively highly correlated with bi, Wi, and CVi. Grain size on the other hand is not correlated with any of the parameters.

Citations

Citations to this article as recorded by  
  • Genotype x environment interaction effect on grain yield of cowpea (Vigna unguiculata (L.) Walp) in Deciduous forest and Sudan savanna ecologies of Ghana
    Francis Kusi, Richard Adu Amoah, Patrick Attamah, Shaibu Alhassan, Damba Yahaya, Justice Frederick Awuku, Jerry A. Nbonyine, Isaac Amegbor, Gloria Mensah, Issah Sugri, Mukhtaru Zakaria, Salim Lamini, Peter Asungre, Emmanuel Asibi Aziiba, Julius Yirzagla,
    PLOS ONE.2025; 20(1): e0314464.     CrossRef
  • Heritability and expression of yield and yield components in cowpea, an underutilized crop in Africa
    Milcah Bogaleng Matjeke, Maryke Tine Labuschagne, Abe Shegro Gerrano, Adré Minnaar-Ontong, Ntombokulunga Wedy Mbuma
    Frontiers in Sustainable Food Systems.2025;[Epub]     CrossRef
  • Genetic variability, inter-character correlation, and stability performance in cowpea for drought tolerance
    Olakunle Opeyemi Sansa, Omolayo Johnson Ariyo, Monininuola Adefolake Ayo-Vaughan, Ukoabasi Okon Ekanem, Solomon Okon Ntukidem, Michael Terrance Abberton, Olaniyi Ajewole Oyatomi
    Journal of Crop Improvement.2025; 39(1): 43.     CrossRef
  • Registration of ‘UAM15-2157-4’ cowpea cultivar combining high yield and market demand traits for the savanna regions of West Africa
    L. O. Omoigui, G. Ekeruo, A. S. Shaibu, A. Y. Kamara, T. Iorlamen, O. O. Olufajo, O. B. Eseigbe, R. Solomon, M. S. Ugbaa, M. P. Timko
    Genetic Resources and Crop Evolution.2025; 72(S1): 353.     CrossRef
  • AMMI and GGE biplot analysis of genotype by environment interaction and yield stability in early maturing cowpea [Vigna unguiculata (L) Walp] landraces in Ethiopia
    Yirga Kindie, Bulti Tesso, Berhanu Amsalu
    Plant-Environment Interactions.2022; 3(1): 1.     CrossRef
  • Genotype by environment interaction and yield stability of cowpea (Vigna unguiculata (L.) Walp.) genotypes in moisture limited areas of Southern Ethiopia
    Yasin Goa, Hussein Mohammed, Walelign Worku, Elias Urage
    Heliyon.2022; 8(3): e09013.     CrossRef
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Phenotypic Stability Analysis of Yield Components in Cashew (Anacardium occidentale L.) Using Additive Main Effect and Multiplicative Interaction (AMMI) and GGE Biplot Analyses
Olawale M. Aliyu, Oluwatosin O. Adeigbe, Oluwafemi O. Lawal
Plant Breed. Biotech. 2014;2(4):354-369.   Published online December 31, 2014
DOI: https://doi.org/10.9787/PBB.2014.2.4.354

Perennial poor fruit-set and variability in tree yield are among major problems of cashew nut production. Thus, development of improved stable genotypes would be a sustainable strategy to address this perpetual problem in order to boost income and livelihood of many smallholder farmers of this important commodity crop. Here, we have applied additive main effect and multiplicative interaction (AMMI) and genotype, genotype by environment (GGE) biplot analysis to a 3-year multi-locational trial data on nine yield component characters of cashew to evaluate phenotypic stability across diverse environments. Variance analysis showed significant variability in the cashew genotypes and strong influence of genotype by environment (GxE) on tree yield as none of the genotypes was stable for any of the yield components across locations. GxE data showed that a substantial portion of the variation was explained by the genotype (highly heritable), accounting for between 10% and 87% of the variation, while the environment accounted for between 0.7% and 37%. Data showed significant higher values of interaction (GxE) than the respective values for environment, and were mostly captured and could be explained by the first principal component axis (IPCA 1) for all the yield component characters. There was an inverse relationship between stability and yield as the best three yielding genotypes (KT_26, IW_222 and IW_31) were found to be the most unstable. Among the yield component tested, hermaphrodite flowers per panicle, nuts per panicle, nuts per tree, nut weight, and tree fruiting efficiency were identified to be critical components for nut yield. Although there was wide variation between the three environments evaluated, the data effectively identified two mega-environments (ME), and two superior genotypes (IW_222 and KT_26) suitable for these two mega-environments. The GxE complex exposes the short-comings of broad recommendations of common agronomic-husbandry technologies across diverse cashew ecologies as each mega-environment would require specific adaptable technologies for optimal plant output. Above all, the data presented here underscore the importance of multi-locational evaluation of genotypes for varietal development in cashew.

Citations

Citations to this article as recorded by  
  • Growth and yield response of cashew (Anacardium occidentale L.) clones to spacing in the Guinea Savanna zone of Ghana
    Sampson Konlan, Michael Teye Barnor, Alfred Arthur, Jerome Agbesi Dogbatse, Jacob Danso, Godfred Kwaku Awudzi, Moses Kwame Aidoo, Frank Owusu‐Ansah
    Agrosystems, Geosciences & Environment.2026;[Epub]     CrossRef
  • Identification of superior dwarf cashew clones by graphic analysis in Pacajus, Ceará, Brazil
    Gilberto Ken Yokomizo, Dheyne Silva Melo, Kuang Hongyu, Luiz Augusto Lopes Serrano, Francisco da Chagas Vidal-Neto
    Acta Biológica Colombiana.2026; 31(1): 90.     CrossRef
  • Efeitos dos meses no comportamento de progênies de açaizeiro para caracteres de cacho de frutos
    Gilberto Ken Iti Yokomizo, Kuang Hongyu, João Tomé de Farias Neto, Francisco de Oliveira Cruz Júnior
    PesquisAgro.2025; 9(1): 15.     CrossRef
  • Analysis of stability for nut yield and ancillary traits in cashew (Anacardium occidentale L.)
    E. Eradasappa, G. S. Mohana, M. Poduval, K. Sethi, M. S. Aneesa Rani, I. K. Lourdusamy, S. Velmurugan, M. Manjusha, T. N. Raviprasad, C. Anilkumar
    Scientific Reports.2024;[Epub]     CrossRef
  • Assessment of adaptability of cashew varieties to changing environmental conditions of Odisha
    Kabita Sethi, Manasi Dash, P.K. Panda, Mohana G.S., J. Dinakara Adiga
    Scientia Horticulturae.2024; 324: 112577.     CrossRef
  • Genotype × environment interaction for establishment and precocity traits among elite cocoa (Theobroma cacao L.) hybrids in Ghana
    Atta Ofori, Francis Kwame Padi, Abraham Akpertey, Kwabena Asare Bediako, Alfred Arthur, Paul Kwasi Krah Adu-Gyamfi, Daniel Nyadanu, Ebenezer Obeng-Bio, Esther Anokye
    Euphytica.2023;[Epub]     CrossRef
  • Estabilidade e adaptabilidade de clones de cajueiro para caracteres fenológicos
    Gilberto Ken Iti Yokomizo, Francisco das Chagas Vidal Neto, Kuang Hongyu, Dheyne Silva Melo, Luiz Augusto Lopes Serrano
    Agrarian.2021; 14(54): 412.     CrossRef
  • Broadening the Gene Pool of Cashew (Anacardium occidentale) for Survival and Precocity
    Paul K. K. Adu-Gyamfi, Michael Barnor, Abraham Akpertey, Abu Mustapha Dadzie, Edem Anyomi, Seth Osei-Akoto, Francis Padi
    Agricultural Research.2021; 10(4): 613.     CrossRef
  • Genetic variability and trait association studies in cashew (Anacardium occidentale L.)
    Paul K.K. Adu-Gyamfi, Mustapha Abu Dadzie, Michael Barnor, Abraham Akpertey, Alfred Arthur, Seth Osei-Akoto, Atta Ofori, Francis Padi
    Scientia Horticulturae.2019; 255: 108.     CrossRef
  • Farmers’ Perceptions on the Agricultural Use of Human Urine in the Central Amazon
    Patrícia Müller, João Paulo Borges Pedro, Carlos Henrique De Castro Freitas
    Mundo Amazónico.2017;[Epub]     CrossRef
  • Análise GGE biplot na avaliação de características de cachos em Açaizeiros da região Amazônica
    Gilberto Ken Iti Yokomizo, João Tomé de Farias Neto, Kuang Hongyu, Maria Do Socorro Padilha de Oliveira
    Mundo Amazónico.2017;[Epub]     CrossRef
  • Genomic selection for wheat traits and trait stability
    Mao Huang, Antonio Cabrera, Amber Hoffstetter, Carl Griffey, David Van Sanford, José Costa, Anne McKendry, Shiaoman Chao, Clay Sneller
    Theoretical and Applied Genetics.2016; 129(9): 1697.     CrossRef
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  • 12 Crossref