1. Branislav Trudić, University of Novi Sad, Institute of Lowland Forestry and Environment, , Serbia
2. Barbara Fussi, Bayerisches Amt für forstliche Saat- und Pflanzenzucht, Germany
3. Monika Konnert, Bayerisches Amt für forstliche Saat- und Pflanzenzucht, Germany
4. Saša Orlović, University of Novi Sad, Institute of Lowland Forestry and Environment, , Serbia
Climate changes influences all natural forest populations in Serbia, changing the bioecological conditions for spruce and other conifer communities. Picea abies is a particularly important conifer species for Serbian forestry and forest management from the aspect of silviculture, since it is widely used for upgrading forest vegetation levels on the mountains of Serbia, where loss of natural forest vegetation was registered and it showed the best results in afforestation of such sites. Therefore, conservation efforts are needed and genotyping can be a tool to assess the best material with regard to genetic variation for afforestation measures. Investigation of genetic diversity of spruce acquires assessing of the information regarding individual and population variability by application of molecular markers from the aspects of the degree of their variability. The aim of this study was to genotype 30 selected spruce individuals and analyzes intrapopulation genetic diversity of this species from Kopaonik Mountain, Serbia, using eight EST-SSR molecular markers. For the loci WS00111, WS0023B03, WS00716, WS0022 calculated parameters of genetic diversity (Na, Ne, Ho, He, uHe, allele frequencies and F) indicated high allelic number and genetic variability and for the rest (WS0073, W0092, Pa44 and Pa51) were significantly lower. This study was part of the project Spruce and Oak Genetic Structure (SOGeneS) supported by FP7 project Trees 4 Future- Transnational Access.
Ključne reči :
Tematska oblast:
Šumarska genetika, sjemenarstvo, rasadničarstvo i osnivanje šuma
Datum:
28.06.2017.
Šumarska nauka u funkciji održivog razvoja šumarstva
25 godina šumarstva Republike Srpske
