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A multivariate statistical approach to Centaurea classification using essential oil composition data of some species from Turkey.

机译:使用来自土耳其的某些物种的精油成分数据对矢车菊进行分类的多元统计方法。

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摘要

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..
机译:来自土耳其的Centaurea aladaghensis,C。antiochia var的十种Centaurea物种的精油成分。研究了prealta,C.antitauri,C.babylonica,C.balsamita,C.cheirolepidoides,C.deflexa,C.iconiensis,C.lanigera,C.ptosimopappoides。将多元统计分析(主成分分析,多维尺度分析,层次聚类分析)应用于GC-MS数据,对于研究和建立这一非常困难的属的自然分类学界限似乎非常有用。分组的结果独立于生态相似性(即生活在相同栖息地或具有相似形态特征的植物),因此似乎环境对这些植物的挥发物的生物合成没有影响。

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