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Siberian Journal of Forest Science

2019 year, number 6


V. M. Efimov1, V. V. Tarakanov2, N. B. Naumova3, V. Y. Kovaleva4, K. P. Kutsenogiy5
1Institute of Cytology and Genetics, Russian Academy of Sciences, Siberian Branch, Prospekt Akademika Lavrent’eva, 10, Novosibirsk, 630090 Russian Federation
2West Siberian Branch of V. N. Sukachev Institute of Forest SB RAS - Branch of the Federal Research Center В«Krasnoyarsk Science Center», Zhukovskiy str., 100/1, Novosibirsk, 630082 Russian Federation
3Institute of Soil Science and Agrochemistry, Russian Academy of Sciences, Siberian Branch, Prospekt Akademika Lavrent’eva, 8/2, Novosibirsk, 630090 Russian Federation
4Institute of Systematics and Ecology of Animals, Russian Academy of Sciences, Siberian Branch, Frunze str., 11, Novosibirsk, 630091 Russian Federation
5Institute of Chemical Kinetics and Combustion, Russian Academy of Sciences, Siberian Branch, Institutskaya str., 3, Novosibirsk, 630091 Russian Federation
Keywords: Pinus sylvestris L, химические элементы, наследуемость, многомерный анализ, chemical elements, heritability, multivariate analysis


The variability of the data on elemental composition of needles from the clonal population of Scots pine Pinus sylvestris L . , established on the long-term field experiment, was studied by principal components extraction from the normalized data matrix, and broad-sense heritability Н 2, i.e. the contribution of clones to the total data variance was calculated both for the original variables and principal components. To find the linear combinations of variables with the highest heritability the discriminant analysis was performed. The results suggest the importance of multivariate statistics for forest genetics and selection in targeting search for genetic marker traits in the populations of woody plants, in assessing genetic differentiation among populations, identification of the best genotypes via their phenotypes, etc.