The study was conducted in the Trakya region, Turkey at five environments during the 2015-2016 growing cycles. Grain
yield were subjected to analysis of variance (ANOVA), the additive main effect and multiplicative interaction (AMMI) and
genotype and genotype-by-environment (GGE) biplot analyses. ANOVA and AMMI analysis showed highly significant
(p < 0.01) differences among environments (E). Environment was responsible for the greatest part of the variation, followed
by genotype and its interaction effects. Average yield across five environments varied from the highest 6673 kg ha-1 to the
lowest 5008 kg ha-1. Across five environment Genotypes G7 and G12 had highest grain yield. Burgaz was found near the
ideal test environment of the average environment coordination. Therefore, this location should be used as the most suitable
to select widely adapted genotypes. For grain yield, cultivars Gelibolu, and G17, G8, and G12 lines were well adaptable
to all environmental conditions. The graphical result showed that the first principal component PC1 explained 44.71%
of the interaction sum of the square while the second principal component, PC2 explained 22.57% of some of the square
interaction. The result of PCA revealed that the 2 principal components contributed 67.27% of the total variability. In the
study, genotypes G12 and G17 selected in 2016 and then were released in 2019 named Anafarta and Abide, respectively.
Primary Language | English |
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Subjects | Agricultural Engineering |
Journal Section | Articles |
Authors | |
Publication Date | July 31, 2022 |
Published in Issue | Year 2022 Volume: 8 Issue: 2 |