The aim of our study was to compare the effects of salt stress in two soybean (Glycine max L. Merr.) varieties. Two soybean genotypes (Ataem-7 and Üstün-1) were grown under 0, 50, 100, and 150 mM NaCl treatments, and the leaves were harvested for lipid peroxidation analyses, proline content and P5CS gene expression levels. According to the results of lipid peroxidation analysis, Ataem-7 variety was found to be more sensitive than Üstün-1 variety for NaCl stress. Proline is an important osmolyte accumulated under environmental stresses. As a response to salinity, we determined their proline levels. Proline accumulation in Ataem-7 variety increased 1.39 fold in accordance with Üstün-1 variety at 150 mM NaCl treatment. Glycine max Δ¹-pyrroline-5-carboxylate synthetase (GmP5CS) gene expression levels under 50, 100 and 150 mM NaCl stress were determined. When the GmP5CS gene expression level was gradually increased in Üstiin-l variety, the highest gene expression level for Ataem-7 was determined at 100 mM NaCl. The GmP5CS gene expression in Üstiin-1 at 150 mM NaCl increased 2.93 fold compared with 100 mM treatment. When we evaluate the relation between proline accumulation and expression levels of GmP5CS gene, it is obvious that accumulations of proline in two soybean varieties are under control of different mechanisms in the presence of salinity.
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Spirality is a problem in knitted fabrics, especially in the apparel industry. Even though aspects of spirality have been studied in the literature, no papers have appeared which explicitly determine the angle of spirality in knitted fabrics. Therefore, the goal of this study is to develop an algorithm to determine the angle of spirality using image analyses. The proposed algorithm has yielded fast and accurate results.
PL
Spiralność jest jakościowym problemem w dzianinach, szczególnie w dzianinach przeznaczonych na odzież. Jakkolwiek zagadnienia spiralności omawiane były niejednokrotnie w różnych publikacjach, to nie napotkano na prace zajmujące się bezpośrednio oznaczaniem kąta spiralności w dzianinach. Dlatego też celem naszej pracy było opracowanie algorytmu, służącego do określania kąta spiralności za pomocą cyfrowej analizy obrazu. Opracowany algorytm pozwala na szybkie uzyskanie wyników o dużej dokładności.
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