Essential‐Oil Variability in Natural Populations of Pinus mugo Turra from the Julian Alps |
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Authors: | Srdjan Bojović Maja Jurc Mihailo Ristić Zorica Popović Rada Matić Vera Vidaković Milena Stefanović Dušan Jurc |
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Affiliation: | 1. Institute for Biological Research ‘Sini?a Stankovi?', University of Belgrade, Boulevard Despota Stefana 142, SR‐11060 Belgrade;2. Department of Forestry and Renewable Forest Resources, University of Ljubljana, Biotechnical Faculty, SI‐1000 Ljubljana;3. Institute for Medicinal Plant Research ‘Dr Josif Pan?i?', Tadeu?a Ko??u?ka 1, SR‐11000 Belgrade;4. Slovenian Forestry Institute, Ve?na pot 2, SI‐1000 Ljubljana |
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Abstract: | The composition and variability of the terpenes and their derivatives isolated from the needles of a representative pool of 114 adult trees originating from four natural populations of dwarf mountain pine (Pinus mugo Turra ) from the Julian Alps were investigated by GC‐FID and GC/MS analyses. In total, 54 of the 57 detected essential‐oil components were identified. Among the different compound classes present in the essential oils, the chief constituents belonged to the monoterpenes, comprising an average content of 79.67% of the total oil composition (74.80% of monoterpene hydrocarbons and 4.87% of oxygenated monoterpenes). Sesquiterpenes were present in smaller amounts (average content of 19.02%), out of which 16.39% were sesquiterpene hydrocarbons and 2.62% oxygenated sesquiterpenes. The most abundant components in the needle essential oils were the monoterpenes δ‐car‐3‐ene, β‐phellandrene, α‐pinene, β‐myrcene, and β‐pinene and the sesquiterpene β‐caryophyllene. From the total data set of 57 detected compounds, 40 were selected for principal‐component analysis (PCA), discriminant analysis (DA), and cluster analysis (CA). The overlap tendency of the four populations suggested by PCA, was as well observed by DA. CA also demonstrated similarity among the populations, which was the highest between Populations I and II. |
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Keywords: | Pinus mugo Dwarf mountain pine Julian Alps Needle terpenes GC/MS Analysis Principal component analysis (PCA) Hierarchical cluster analysis (HCA) Discriminant analysis (DA) |
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