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A study was performed to evaluate the effects of environment (E) and genotype (G) × E interactions (GGE) for quality traits and grain yield in bread wheat (Triticum aestivumL.). ANOVA and GGE biplots were used to assess quality performance and stability in 36 genotypes of bread wheat through a three‐location trial over two cropping seasons in the Thrace Region of Turkey. The 36 wheat genotypes used were classified into eight different groups, including landraces, 1960s, 1970s, 1980s, 1990s, 2000s, and advanced lines. The data showed a wide range of variation for milling quality parameters with regard to gluten quantity and quality, as well as for grain yield. Genotypes, location, and year, in this order, contributed to this diversity. Remarkably, all the traits except grain protein content showed a larger genotype effect than location (L) effect; the interaction G × L was usually more important than the G × Y. Genotypic and location components markedly exceeded G × L and Y × L for all variables, with the exception of grain yield, in which the G × Y effect was greater than locations according to ANOVA analysis. Noticeable continuous progress (53%) was observed in genetic grain yield during the last 60 yr without limiting wheat quality. GGE biplot analysis found that, on average, the biplots accounted for 80 to 85% of G and G × E variation present. Krasunia and Sagittario were the best genotypes (best performance and higher stability) of the study based on the traits evaluated.

In this research, three different hormones and five different hormone dosages were applied on cuttings were taken from Anatolian sage plants (Salvia fruticosaMill.) before flowering period. NAA, IBA (0, 60, 120, 180, 240ppm) and IAA hormones (0, 100, 200, 300, 400ppm) were prepared by dissolving in distilled water. Stem cuttings were kept in hormone solution for 24hours and they were planted in perlit medium under greenhouse conditions. After a month, the number of rooted stem cutting, the number of root per stem cuttings, root length and root weight were determined on stem cuttings. Rooting was observed in all of the cuttings for both samples to which hormone was applied and to which hormone was not applied. According to the result of the variance analysis, the effects of the hormones and hormone doses on the examined characters were found significant as statistically. According to the results obtained, IAA application increased root number considerably. While high hormone dose applications caused the notable increase in root weight and root number in all of three hormones, low hormone applications did not affect root length.