A multivariate statistical approach to Centaurea classification using essential oil composition data of some species from Turkey |
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| Authors: | G Flamini M Tebano P L Cioni Y Bagci H Dural K Ertugrul T Uysal A Savran |
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| Institution: | (1) Dipartimento di Chimica Bioorganica e Biofarmacia, , Via Bonanno 33, 56126 Pisa, Italy;(2) Department of Biology, Faculty of Science and Art, Selcuk University, Konya, Turkey;(3) Department of Biology, Faculty of Science and Art, Nigde University, Nigde, Turkey |
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| Abstract: | The composition of the essential oils of ten Centaurea species from Turkey, Centaurea aladaghensis, C. antiochia var. prealta, C. antitauri, C. babylonica, C. balsamita, C. cheirolepidoides, C. deflexa, C. iconiensis, C. lanigera, C. ptosimopappoides have been studied. Multivariate statistical analyses (Principal Component Analysis, Multidimensional Scaling, Hierarchical
Cluster Analysis) applied to GC-MS data, seem to be very useful to investigate and establish the natural taxonomic delimitation
of this very difficult genus. The groupings resulted independent from the ecological similarities (i.e. plants that live in
the same habitats or share similar morphological characteristics), so it seems that the environment has no influence on the
biosynthesis of the volatiles of these plants. |
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| Keywords: | Centaurea aladaghensis C antiochia var prealta C antitauri C babylonica C balsamita C cheirolepidoides C deflexa C iconiensis C lanigera C ptosimopappoides Essential oil composition Turkey |
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