Publications by authors named "Biljana M Nikolic"

Article Synopsis
  • Climate change is threatening the survival of silver fir populations in Southeast Europe, prompting a study on needle anatomy and its relation to environmental factors.
  • The analysis revealed significant differences in needle traits across populations, identifying three distinct groups based on these traits and their correlation with climatic conditions.
  • Findings indicated important relationships between anatomical traits and environmental variables, which are useful for conservation efforts and understanding the genetic diversity of these populations.
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This is the first study on cuticular wax variability of Abies alba, A.×borisii-regis and A. cephalonica, using 18 native populations from the assumed hybrid zone in the Balkan Peninsula.

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Phytochemical diversity and differentiation of nine native populations of Pinus mugo sensu stricto from Julian Alps, Southern Carpathians and Balkan Peninsula were analyzed in regard to their epicuticular wax compounds. GC/MS and GC-FID analyses of the hexane extracts of needle samples, collected from 118 individuals of P. mugo, revealed the presence of six diterpenes, three primary alcohols and 10 n-alkanes ranging from C to C (except n-alkane C ).

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The n-alkane composition in the leaf cuticular waxes of natural populations of Bosnian pine (Pinus heldreichii), Austrian pine (P. nigra), and Macedonian pine (P. peuce) was compared for the first time.

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Comparative analysis of terpene diversity and differentiation of relict pines Pinus heldreichii, P. nigra, and P. peuce from the central Balkans was performed at the population level.

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Chemical compositions of needle essential oils of 27 taxa from the section Pinus, including 20 and 7 taxa of the subsections Pinus and Pinaster, respectively, were compared in order to determine chemotaxonomic significance of terpenes at infrageneric level. According to analysis of variance, six out of 31 studied terpene characters were characterized by a high level of significance, indicating statistically significant difference between the examined subsections. Agglomerative hierarchical cluster analysis has shown separation of eight groups, where representatives of subsect.

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