In this study, the micromorphological features of 19 Salvia L. taxa belonging to the Lamiaceae family were compared statistically. For micromorphological studies, the manual cross sections were prepared. The sections were colored using safranin and fast-green dyes and after that, photographed by different magnification of light microscope. The data obtained from the micromorphological features of the investigated samples were turned into tables and were used for statistical studies. Significance level of the differences between the taxa and micromorphological characters were evaluated by Analysis of variance (Regression Analysis) and Pearson’s correlation. The differences were also assessed by the one–way ANOVA test. As the results of this study show that the quantitative micromorphological characters such as lower epidermis width and lower epidermis length are the most appropriate taxonomical characters that can be used to separate taxa. By this study, it has been found that the results from numerical analysis of micromorphological characters can provide additional evidence for the recognition of the taxa. In addition, the results showed that the investigated taxa also could be distinguished from each other not only by their morphological features but numerical micromorphological anatomical characters as well. Statistical analyses were performed using the MINITAB software package.
stastistical comparison micromorphological characters salvia
In this study, the micromorphological features of 19 Salvia L. taxa belonging to the Lamiaceae family were compared statistically. For micromorphological studies, the manual cross sections were prepared. The sections were colored using safranin and fast-green dyes and after that, photographed by different magnification of light microscope. The data obtained from the micromorphological features of the investigated samples were turned into tables and were used for statistical studies. Significance level of the differences between the taxa and micromorphological characters were evaluated by Analysis of variance (Regression Analysis) and Pearson’s correlation. The differences were also assessed by the one–way ANOVA test. As the results of this study show that the quantitative micromorphological characters such as lower epidermis width and lower epidermis length are the most appropriate taxonomical characters that can be used to separate taxa. By this study, it has been found that the results from numerical analysis of micromorphological characters can provide additional evidence for the recognition of the taxa. In addition, the results showed that the investigated taxa also could be distinguished from each other not only by their morphological features but numerical micromorphological anatomical characters as well. Statistical analyses were performed using the MINITAB software package.
Birincil Dil | İngilizce |
---|---|
Konular | Mühendislik |
Bölüm | Makaleler |
Yazarlar | |
Erken Görünüm Tarihi | 30 Ocak 2022 |
Yayımlanma Tarihi | 31 Mart 2022 |
Yayımlandığı Sayı | Yıl 2022 Sayı: 34 |