Purpose. Identification of spring barley promising breeding lines with combination of adaptive traits under conditions of the central part of the Ukrainian Forest-Steppe. Methods. Field trial, laboratory-field analysis of drought tolerance, statistical and graphical analysis of experimental data. Results. The analysis of variance of the AMMI model showed that the largest contribution to the general variation (85.78%) had environmental conditions (years of research). The value of the genotype was 8.21%, and the genotype by environment interaction was 6.01%. The first and second principal components of both AMMI and GGE biplot explained more than 85% of the genotype-environment interaction. Spring barley breeding lines ‘Deficiens 5162’, ‘Nutans 5073’ and ‘Deficiens 5161’ had the superior combination of yield performance and relative stability through the years according to GGE biplot. With GYT biplot analysis it has been determined that the breeding lines ‘Deficiens 5162’ and ‘Nutans 5073’ also significantly predominated over the other genotypes in terms of combination of yield performance and a number of other traits – 1000 kernels weight, drought tolerance, resistance to pathogens. Breeding lines ‘Deficiens 5161’, ‘Nutans 4966’, ‘Nutans 4705’, ‘Nutans 4816’, ‘Nutans 5184’, ‘Nutans 5193’, which exceeded the mean value in the trial in terms of combination of yield performance and a number of adaptive traits may have practical significance in the breeding process for creation of new initial material. Conclusions. As a result of the complex evaluation when using AMMI, GGE biplot and GYT biplot graphical models the breeding lines ‘Deficiens 5162’ and ‘Nutans 5073’ with the optimal combination of yield, stability, thousand kernel weight and tolerance to abiotic and biotic environmental factors have been identified

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The study was conducted at the V.M. Remeslo Myronivka Institute of Wheat of NAAS in 2018–2020. The 96 spring barley accessions originating from 15 countries were evaluated in yield performance and its stability. The mean yield in the trial through the years varied from 265 g/m2 in 2018 to 447 g/m2 in 2020. The difference between the minimum and maximum yield of samples within individual years was 388 g/m2 in 2018, 522 g/m2 in 2019, 440 g/m2 in 2020. Thus, it was found that the studied genotypes differed significantly in the level of yield, both within a year and through years of the research. This is confirmed by the high percentage of the genotype in the total variance — 36.73%. The 15 accessions which in mean yield for three years exceeded the standard Vzirets have been identified. The genotypes Almonte (CAN), Smaragd (UKR), Skald (POL), and Vienna (AUT) had the optimal level of yield in contrasting weather conditions of different years. These accessions are the most valuable genetic sources for breeding usage under conditions of the central part of Ukrainian Forest-Steppe. The accessions Suveren (POL), Krok (UKR), Kormoran (POL), Severyanin (RUS), Avers (UKR), Tiver (UKR), Dar Nosivshchyny (UKR), Skarb (POL), AC Alma (CAN), Despina DEU), Glacier AL.38 (GBR) were characterized by different responses to contrasting weather conditions of different years. Therefore, when involving them in hybridization as parental components, a combined approach will be appropriate which based both on the ecological-geographical principle as well as taking into account the yield performance, depending on the conditions of different years. In order to comprehensively assess the genotype by environment interaction and to select genotypes with the optimal combination of yield and stability, it is advisable to combine statistical (graphical) models that differ in the principles of evaluation of genotypes

The trials were conducted in 2018–2020 at the V.M. Remeslo Myronivka Institute of Wheat of NAAS. The aim of the research was to identify new spring barley genetic sources with combination of increased and stable 1000 kernel weight performance for creation initial breeding material under ecological conditions of the central part of Ukrainian Forest-steppe. There were studied 96 spring barley collection accessions originated in different ecological conditions. To identify peculiarities among genotypes within different subspecies (two-rowed and sixrowed), groups of varieties (covered and naked), as well as among two-rowed covered accessions of different ecological origin the genotypes under study were divided into six groups. Within four groups of accessions there were selected genotypes combining the maximum 1000 kernel weight performance and high homeostatic (Hom) and selection value (Sc) indexes. The other two groups of accessions were characterized with the fact that genotypes with high1000 kernel weight through three years did not have high Hom and Sc indexes due to higher variability. The analysis of variance of the AMMI model revealed almost the equal contribution to the total variance for growing season conditions (34.02%), genotype (34.67%) and their interaction (31.32%). The identified features indicate both the significant genetic diversity presented in this panel of spring barley accessions and the significant influence of weather conditions on the formation of 1000 kernel weight, as well as the different reaction of genotypes on the conditions of individual years of the research. When using statistical parameters and visualizations of the GGE biplot, new spring barley genetic sources with the optimal combination of increased and stable the trait performance were identified. In particular, to improve 1000 kernel weight the accessions Sviatovit (UKR), Dar Nosivshchyny (UKR), Smaragd (UKR), Sunshine (DEU), Lilly (DEU), and Vladlen (KGZ) are recommended to use as parental components for two-rowed covered barley varieties, the accession NSGJ-1 (SRB) is for naked barley varieties, and Yerong (AUS) is for six-rowed barley varieties.

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