Browsing by Author "Lubadde, Geofrey"

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    Analysis of genotype by environment interaction of improved Pearl millet for grain yield and rust resistance.
    (Canadian Center of Science and Education, 2017-01-15) Lubadde, Geofrey; Tongoona, Pangirayi; Derera, John; Sibiya, Julia
    Pearl millet is grown by inhabitants of the semi-arid zones. Due to the unpredictable climatic conditions the genotype-by-environment interaction (GEI) makes it hard to select genotypes adapted to such conditions. The study objectives therefore were to analyse the patterns of GEI and to identify superior genotypes for grain yield and rust resistance. Seventy six genotypes were planted in four environments in 4×19 alpha design with two replications. The ANOVA results showed that main effects of environments were significant (p = 0.05) for grain yield and highly significant (p = 0.001) for rust resistance while the main effects of the genotypes and their interactions with environments were also important for grain yield and rust severity at 50% physiological maturity. The GGE biplot analysis revealed that environments associated with more rains received during vegetative phase performed better than those receiving more rains during post-anthesis phase. The winner in the best environment for grain yield was ICMV3771×SDMV96053 while Shibe×CIVT9206 and Shibe×GGB8735 were the best for rust resistance. Keywords: GGE biplot, grain yield, pearl millet, rust resistance, Uganda
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    Comparison and suitability of genotype by environment analysis methods for yield-related traits of pearl millet.
    (National Agricultural Research Organisation, 2017) Lubadde, Geofrey; Ebiyau, Johnie; Akello, B.; Adrogu, Michael Ugen
    Pearl millet (Pennisetum glaucum (L.) R. Br.) is an important food security and income crop for households living in semi-arid zones in Uganda. However, the genotype by environment interaction, in addition to the several methods used for its assessment, complicates selection of varieties adapted to such semi-arid areas. The objective of this study, therefore, was to compare common methods used to assess stability and adaptability of improved genotypes. Seventy six genotypes were planted in four environments in an alpha experimental design with two replications. Results showed that genotype by environment interactions were significant at p<0.05 for grain yield, days to 50% flowering and 50% physiological maturity, percentage of productive tillers and panicle area. Results further showed inconsistency in ranking of genotypes between methods; although Cultivar Superiority, REML, Yield Stability Index and GGE biplot were consistently correlated and identified high yielding and stable genotypes. Key words: GGE biplot, grain yield, pearl millet, stability analysis, Uganda.