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    Performance of extraearly maize cultivars based on GGE biplot and AMMI analysis

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    Authors
    Badu-Apraku, B.
    Oyekunle, M.
    Obeng-Antwi, K.
    Osuman, A.S.
    Ado, S.G.
    Coulibaly, N.
    Yallou, C.G.
    Abdulai, M.S.
    Boakyewaa, G.A.
    Didjeira, A.
    Date
    2012-08
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    ISI journal
    Accessibility
    Limited Access
    Metadata
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    Citation
    Badu-Apraku, B., Oyekunle, M., Obeng-Antwi, K., Osuman, A.S., Ado, S.G., Coulibay, N., ... & Didjeira, A. (2012). Performance of extra-early maize cultivars based on GGE biplot and AMMI analysis. Journal of Agricultural Science, 150(4), 473-483.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/83328
    DOI: https://doi.org/10.1017/s0021859611000761
    Abstract/Description
    Multi-environment trials (METs) in West Africa have demonstrated the existence of genotype×environment interactions (G×E), which complicate the selection of superior cultivars and the best testing sites for identifying superior and stable genotypes. Two powerful statistical tools available for MET analysis are the additive main effects and multiplicative interaction (AMMI) and the genotype main effect+G×E (known as GGE) biplot. The objective of the present study was to compare their effectiveness in identifying maize mega-environments and stable and superior maize cultivars with good adaptation to West Africa. Twelve extra-early maturing maize cultivars were evaluated at 17 locations in four countries in West Africa from 2006 to 2009. The effects of genotype (G), environments (E) and G×E were significant (P<0 01) for grain yield. Differences between E accounted for 0 75 of the total variation in the sum of squares for grain yield, whereas the G effects accounted for 0 03 and G×E for 0 22. The GGE biplot explained 0 74 of total variations in the sum of squares for grain yield and revealed three mega-environments and seven cultivar groups. The AMMI graph explained 0 13 and revealed four groups each of environments and cultivars. The two procedures provided similar results in terms of stability and performance of the cultivars. Both methods identified the cultivars 2004 TZEE-W Pop STR C4 and TZEE-W Pop STR C4 as superior across environments. Cultivar 2004 TZEE-W Pop STR C4 was the most stable. The GGE biplot was more versatile and flexible, and provided a better understanding of G×E than the AMMI graph. It identified Zaria, Ilorin, Ikenne, Ejura, Kita, Babile, Ina and Angaredebou as the core testing sites of the three mega-environments for testing the Regional Uniform Variety Trials-extra-early.
    Notes
    Published online: 05 October 2011
    Other CGIAR Affiliations
    Grain Legumes; Maize
    AGROVOC Keywords
    maize; cultivars; genotypes; ammi; multi-environment trials; genotype × environment interactions
    Subjects
    GENETIC IMPROVEMENT; MAIZE; PLANT GENETIC RESOURCES
    Countries
    Nigeria
    Regions
    Africa; Western Africa
    Organizations Affiliated to the Authors
    International Institute of Tropical Agriculture; Council for Scientific and Industrial Research, Ghana; Institute for Agricultural Research, Nigeria; Institut d'Economie Rurale, Mali; Institut National des Recherches Agricoles du Bénin; Savanna Agricultural Research Institute, Ghana; Institu Togolais de Recherches Agricoles
    Investors/sponsors
    United States Agency for International Development
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    • IITA Journal Articles [4608]

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