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Showing 2 results for Anatomy

Nastaran Bayat, Farideh Attar,
Volume 2, Issue 4 (3-2016)
Abstract

In this survey, anatomical characteristics of leaves in 35 populations belonging to 18 taxa of Scrophularia have been studied. Among 39 quantitative and qualitative anatomical characters, some have more suitable taxonomic value for differentiation of taxa, such as blade thickness, thickness of upper and lower cuticle of midrib, length of upper and lower palisade parenchyma of blade, thickness of lower epidermis wall of midrib, thickness of upper and lower epidermis of blade, rows of spongy parenchyma of blade, upper collenchyma type of midrib and the presence of idioblast. Finally, comparison of the results of the current study together with Grau’s (1981) results confirm the validity of 4 groups out of the 12 groups which he had introduced. As for the remaining groups, no noticeable concordance was found.


Akram Rahimi, Asghar Kamrani, Farideh Attar, Rouhangiz Abbas Azimi,
Volume 5, Issue 1 (6-2018)
Abstract

Lallemantia (Lamaceae; Nepetoideae) is a small genus species with a wide distribution area in Iran, is a traditionally used in folk medicine. In this study, we comparatively investigated Lallemantia species in terms of vegetative anatomy in order to evaluate usefulness of this characteristics for taxonomic porpuse. For anatomical examination, cross sections taken from stems and leaves of species were investigated using hand cutting method and bismak brown, carmin and metylenblue staining. Also, the anatomical characters were numerically analyzed by cluster analysis and principal component analysis (PCA). Athough general stem and leaf anatomical charactristics are very similar in the studied species, But, multivariate analysis indicated that some anatomical quantitative characters such as the thickness of lamina, palisade and spongy parenchyma provides valuable characters that would be taxonomically useful in this genus. Morphological similarity between L. baldshuanica and L. royleana have supported by stem and leaf anatomical data. 

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