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Background: Under rainfall condition, stability of grain yield in diverse environments has been one of the most important objectives of breeding programs. Stability analysis is the best method to test the relative performance of genotypes over environments. Thus the aims of this study are to select adapted and stable bread wheat genotypes based on some parametric and non-parametric index. Methods: The experiment was conducted during the four consecutive agricultural seasons (2016-17, 2017-18, 2018-19 and 2019-20) at the level of the experimental station of Setif (ITGC). Eight genotypes of bread wheat were tested following Stability soft program to calculate the parametric and non-parametric indices. Result: The association between Wricke's ecovalence (Wi²), the mean variance component (θi) and the Stability variance (ω²i) indices with respect to grain yield revealed that G1. G2. Hidhab. Arz. Wifak and Ain Abid are suitable genotypes for growing under variable environmental conditions. In addition, selection based on the non-parametric index and the combination selection based on highest grain yield with the parametric and non parametric indices proved that the genotypes G1. G2 and Wifak are more stable and adapted genotypes under semi-arid conditions. Further, based on the static and dynamic concepts, the parametric indices, bi and CVi are related to the dynamic concept, while the other indices are associated with static stability concept. Overall, the results of this study confirmed that the parametric and Non-parametric methods are suitable tools to identify the most stable bread wheat genotypes under various environmental conditions. [ABSTRACT FROM AUTHOR]

Field experiment was conducted during the three consecutive cropping seasons (2017-2018, 2018-2019 and 2019-2020) at the experimental field of ITGC, Setif, Algeria to study the selection of adapted and stable genotypes of triticale based on the use of some parametric and non-parametric index. The program STABILITYSOFT was used to calculate the parametric and non-parametric index. The graphic distribution of the genotypes tested based on the relationship between the mean grain yield and regression coefficient (bi), proved that the suitable genotypes for the tested conditions are G2, and G3. The association between Wricke'secovalence (Wi²), the coefficient of variance (CVi), the mean variance component (θi) and the Stability variance (σ²i) indices with the grain yield proved that the best genotypes for growing under these conditions were G2 and G3.In addition, the selection based on the non-parametric index showed that the genotypes G1, G2 and G3 were the most stables. The combination selection based on highest grain yield and the parametric indices proved that the genotypes G2 and G3 are the more stable and more adapted under semi-arid conditions. The results of spearman's rank correlation and PCA analysis for grouping the different parametric stability statistics studied showed that stability indices could be classified into four groups. Moreover, and based on the static and dynamic concepts, the parametric indices bi and CVi are related to the static concept, while the other indices were associated with dynamic stability concept. Overall, the results of this study confirmed that the parametric and non-parametric methods were the suitable tools to identify the most stable triticale genotypes at various environmental conditions. [ABSTRACT FROM AUTHOR]