Affiliation:
1. Institute of Dendrology, Azerbaijan National Academy of Sciences
2. Khazar University
Abstract
In this study, evaluated some morphological traits and genotypes by multivariate statistical methods in some oak species (Q. castaneifolia C. A. Mey., Q. pedunculiflora C. Koch., Q. iberica Stev., Q. macranthera Fisch. & C. A. Mey. ex Hohen, Q. ilex L.). 910 leaves were sampled from 91 trees, 8 population across Azerbaijan, and 6 morphological traits were assessed. The indicator traits were analyzed using multidimensional statistical analysis for each species. As a result of the component analysis, the three-pointer element (PRIN1, PRIN2, PRIN3) explained 86.97% of the variance among genotypes. These results provide identification of valuable species and patterns in the future selection and application of other genetic programs on the improvement of oaks in Caucuses.
Publisher
Publishing Center Science and Practice
Reference26 articles.
1. Мусеибов М. А. Физическая география Азербайджана. Баку: Маариф, 1998.
2. Matesanz, S., Gianoli, E., & Valladares, F. (2010). Global change and the evolution of phenotypic plasticity in plants. Annals of the New York Academy of Sciences, 1206(1), 35-55. doi:10.1111/j.1749-6632.2010.05704.x
3. Bruschi, P., Vendramin, G. G., Bussotti, F., & Grossoni, P. (2000). Morphological and molecular differentiation between Quercus petraea (Matt.) Liebl. and Quercus pubescens Willd. (Fagaceae) in northern and central Italy. Annals of Botany, 85(3), 325-333. doi:10.1006/anbo.1999.1046
4. Lind-Riehl, J. F. (2014). Genetic variation, local adaptation and population structure in North American red oak species, Quercus rubra L. and Q. ellipsoidalis EJ Hill.
5. Logan, W. B. (2005). Oak: the frame of civilization. WW Norton & Company.