Bread wheat is one of the most represented field crops whose level and stability of yield is very important for the food security in Republic Serbia. In the paper was investigated stability of yield expression of 15 winter bread wheat genotypes in different agroecological conditions of Serbia, using the Additive main effects and multiplicative interaction (AMMI) model and GGE-biplot method of analysis. Aim of investigation was to determine which of applied analysis is superior in identification of the most desirable genotypes for cultivation in given environments. Analysis of variance showed that genotype and genotype-environment (G×E) interaction represent highly significant sources of variability in expression of grain yield. AMMI and GGE analyses were point out similar results and an indisputable conclusion is that multienvironment trials, besides routine usage of analysis of variance, must be analized with one of this two models, which combine analysis of variance and PCA analysis. AMMI analysis is simpler for interpretation and closer to the concept of view of the agronomical trial, while GGE analysis is more complex and gives more precise interpretation of "which-won-where", i .e. for defining of narrowly adapted genotypes in given environments. Thus, G11 as the genotype with highest average yield is narrow adapted to the environment Sombor and can be recommended, as well as in the environment 2 (Kruševac), while genotypes with modest requests (G2) rather can be recommended for cultivation in the environment 1 (Kragujevac), which is characterized by less fertile soil and a smaller amount and uneven distribution of precipitation.
This research was conducted with some spike traits of twenty winter six-row barley genotypes in six environments. The aim of this study was to determine the significance and take advantage useful genotype by environment interacton (GEI) by applying AMMI-1 model. High statistical significance GEI was determined. Wide adaptability genotypes were J-29, J-33, J-9 and J-21 for spike length (SL) as Grand and Ozren for grain number per spike (GNS). The winner genotypes in all environments were Ozren and Grand for SL as Ozren for GNS. All the examined environments can be considered as one megaenvironment, which indicates that unpredictable interactions dominate in this research.
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