Jan Bílý
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Jan Bílý has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Jiří Korecký
Faculty of Forestry and Wood Sciences Czech University of Life Sciences Prague Prague Czech Republic
2 shared publications - Milan Lstibůrek
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Praha 6, Czech Republic
2 shared publications - Dagmar Zádrapová
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Kamýcká 129, Suchdol, 165 21 Prague, Czech Republic
1 shared publication - Jakub Dvořák
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamycka 129, 165 00 Prague, Czech Republic
1 shared publication - Petr Sedlák
Department of Genetics and Breeding Faculty of Agrobiology, Food and Natural Resources Czech University of Life Sciences Prague Prague Czech Republic
1 shared publication - Václav Jansa
Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamycka 129, 165 21 Prague, Czech Republic
1 shared publication
Latest Publications
- Open Access
Genetic Structure of Norway Spruce Ecotypes Studied by SSR Markers
Norway spruce is a widespread and economically highly important tree species in Central Europe which occurs there in different morphotypic forms (also known as ecotypes). Previously established common garden experiments indicated that the morphological differentiation is most likely genetically determined. The genetic structure of Norway spruce morphological variants might be an indicator (marker) of specific sustainability in forest ecosystems. In this study, we investigated 436 individuals from autochthonous populations belonging to three different ecotypes. The main aim was to evaluate a level of genetic intra and interpopulation diversity among the low, medium and high-elevation ecotypes using both expressed sequence tag simple sequence repeats (EST – SSR) and genomic SSR markers. Sixteen highly polymorphic microsatellite loci folded in two newly designed multiplexes were used to depicture the genetic structure of targeted trees. Important allele frequency parameters, such as the mean expected (0.722, SE = 0.061) and observed (0.585, SE = 0.062) heterozygosity and mean effective number of alleles (Ne = 5.943, SE = 1.279), were estimated. The low genetic differentiation detected among different ecotypes (Fst = 0.008) was further discussed and clarified.
Open AccessGenetic Structure of Norway Spruce Ecotypes Studied by SSR Markers
Norway spruce is a widespread and economically highly important tree species in Central Europe which occurs there in different morphotypic forms (also known as ecotypes). Previously established common garden experiments indicated that the morphological differentiation is most likely genetically determined. The genetic structure of Norway spruce morphological variants might be an indicator (marker) of specific sustainability in forest ecosystems. In this study, we investigated 436 individuals from autochthonous populations belonging to three different ecotypes. The main aim was to evaluate a level of genetic intra and interpopulation diversity among the low, medium and high-elevation ecotypes using both expressed sequence tag simple sequence repeats (EST – SSR) and genomic SSR markers. Sixteen highly polymorphic microsatellite loci folded in two newly designed multiplexes were used to depicture the genetic structure of targeted trees. Important allele frequency parameters, such as the mean expected (0.722, SE = 0.061) and observed (0.585, SE = 0.062) heterozygosity and mean effective number of alleles (Ne = 5.943, SE = 1.279), were estimated. The low genetic differentiation detected among different ecotypes (Fst = 0.008) was further discussed and clarified.
- Open Access
- 1 January 2017
- Published by Finnish Society of Forest Science in Silva Fennica
- Vol. 51 (3)
Innovative multiplex and its evaluation for effective genotyping of wild cherry
- 1 January 2017
- Published by Finnish Society of Forest Science in Silva Fennica
- Vol. 51 (3)
Open AccessInnovative multiplex and its evaluation for effective genotyping of wild cherry