Analysis of Genotype by Environment Interaction of Improved Pearl Millet for Grain Yield and Rust Resistance

Abstract

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.

Adaptability and Stability of Faba Bean (Vicia faba L.) Accessions under Diverse Environments and Herbicide Treatments

“…The various stability parameters used in this study ranked plant height and grain yield of genotypes differently at different test environments. The inconsistency in ranking of cultivar superiority, Finlay and Wilkinson and Wricke's eco-valence indices were also reported in faba bean [21], pearl millet [55] and maize [56]. Our results agree with the results reported by Mustapha and Bakari [57] who observed no similarity between static and cultivar superiority but are contrary to the ones reported by Dehghani et al [58] who observed similarity between Finlay and Wilkinson and cultivar superiority when ranking lentil genotypes.…”

Multi-Environment Evaluation and Genotype × Environment Interaction Analysis of Sorghum [<i>Sorghum bicolor</i> (L.) Moench] Genotypes in Highland Areas of Ethiopia

“…[17] [18] [25] explained mega-environments as a group of locations or environments that constantly share the same best variety. This permits the researcher to have specific and valid explanation to recommend the candidate genotypes which are good for that specific environment [30].…”

Additive Main Effects and Multiplicative Interaction and Genotype Main Effect and Genotype by Environment Interaction Effects-Biplot Analysis of Sorghum Grain Yield in Uganda

“…Several statistical approaches have been used to analyse GE1 for recommending specific or general selection in plant breeding. As noted by Lubadde et al (2017), more than one method should be used for better comparison. In this study the Additive Main effects and Multiplicative Interaction (AMMI) and the Genotype Main Effect and Genotype by Environment interaction effects (GGE) models was adopted.…”