Features of the usage of the genotype-environment model in the individual selection of promising English oak (Quercus robur L.) genotypes in the Right-Bank Forest-Steppe
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seedling seed orchards
plus trees родинні плантації
плюсові дерева

How to Cite

Нейко , І. С., Нейко, О. В., Василевський , О. Г., Познякова , С. І., Смашнюк , Л. В., Єлісавенко , Ю. А., Богословська , М. С., & Зленко , О. П. . (2022). Features of the usage of the genotype-environment model in the individual selection of promising English oak (Quercus robur L.) genotypes in the Right-Bank Forest-Steppe . Forestry and Forest Melioration, (141), 67–75. https://doi.org/10.33220/1026-3365.141.2022.67



Testing of plus trees’ progeny in Ukraine began in 1950–1960 by scientists of the Tree Breeding Laboratory of URIFFM under the leadership of S. S. Piatnytsky. At that time, the first progeny tests of the main forest tree species, in particular, English oak, were established. The progeny tests were created in certain regions and provided for the use of half-sib or sib progenies for 2–3 times. The first progeny test of English oak was planted by N. Davydova in 1958 in Kharkiv region. In 1976–1980, the investigation of plus trees progeny tests was led by V. Bilous in the Right-Bank Forest-Steppe. During that period, experimental oak stands were established under his leadership in identical conditions in Vinnytsia, Khmelnytskyi, and Ternopil regions. Nowadays, there is no possibility to assess the phenotypic and genotypic components of these stands. The article presents a theoretical generalization of the ecological and genetic approaches to the individual selection of promising genotypes based on the genotype-environment interaction model.

The aim of the research was to define the most promising plus trees genotypes of English oak in the Right-Bank Forest-Steppe based on the indices of ecological plasticity and stability.

Materials and Methods

We used a set of indicators to assess the interaction between genotype and environment. At that, ecological models of two groups were applied: parametric and non-parametric. The European EUFGIS database was used when analysing the location of genetic units, both climatic and soil conditions. Ex situ gene pool conservation studies were conducted in Vinnytsia and Khmelnytskyi regions. The study was carried out in three plots of seedling seed orchards created in 2011.


The highest height performance of trees was indicated in the site with the most southern location (B3). If the site were located in the northern part (C1), the average height of the progeny was 0.9 m. If progeny was moving to the south (B3), the average height increased to 2.7 m. The height increase made 1.8 m. While the average annual height increase in northern conditions was 0.12 m, in the southern part this indicator increases to 0.38 m.

We calculated different indicators for the genotype-environment interaction model. Based on the environmental models, the best genotypes of English oak (Quercus robur L.) were selected. In terms of growth energy of the oak offspring (Q. robur) in the progeny tests of Vinnytsia and Ternopil regions, the predominance of genotypes of Vinnytsia (B-7, B-9, B-67) and Ternopil (T-13, T-15 and T-20) origins are characterized by high parameters of breeding estimation. The genotypes of plus trees of Vinnytsia (В-8, В-22, В-46, В-48, В-54, В-105) and Ternopil (Т-19) origins are more promising according to their parameters of ecological stability and growth energy.


When English oak progenies move from the north to the south, the share of phenotypic variability due to environmental conditions increases. Based on the indicators of ecological stability in environmental conditions and height growth energy, it was found that the best are the progenies of plus trees of Vinnytsia and Ternopil origins. The concept of testing plus trees should include a number of successive stages regarding their testing under a wide range of environmental conditions and subsequent analysis using the genotype-environment ecological model.

3 Figs., 7 Tables, 36 Refs.

ARTICLE PDF (Українська)


Becker, H. B. and Leon, J. 1988. Stability analysis in plant breeding. Plant Breed, 101: 123.

Bilous, V. I. 2004. Selection and seed production of oak. Cherkasy, NIITEKhIM, 200 p. (in Ukrainian).

Breeder [BreedR: an statistical R-package for genetic evaluation of trees]. 2018. [Electronic resource]. Available at: http://www.trees4future.eu/tools/breedr.html (accessed 11.10.2022).

Cappa, E. P., Mu?oz, F., Sanchez, L., Cantet, R. J. C. 2015. A novel individual-tree mixed model to account for competition and environmental heterogeneity: a Bayesian approach. Tree Genetics and Genomes, 11 (6): 1–15.

Davydova, N. I. 1967. Selection of plus-trees of English oak and estimation of their progeny and vegetative reproduction. PhD thesis. Kharkiv, 24 p. (in Russian).

Dia, M., Wehner, T., Arellano, C. 2016. Analysis of genotype ? environment interaction (G?E) using SAS Programming. Agronomy journal. Biometry, modeling and statistics, 108: 1838–1852.

Dyshko, V. A. and Torosova, L. O. 2018. A comprehensive assessment of candidates to synthetic variety-populations in the Scots pine variety tests in Gutyanske forest enterprise. Forestry and Forest Melioration, 132: 56–65 (in Ukrainian).

Eberhart, S. A. and Russell, W. A. 1966. Stability parameters for comparing varieties. Crop Sci, 6: 36–40.

Fox, P. N., Skovmand, B., Thompson, B. K., Braun, H. J., Cormier, R. 1990. Yield and adaptation of hexaploid spring triticale. Euphytica, 47: 57–64.

Francis, T. R. and Kannenberg, L. W. 1978. Yield stability studies in short-season maize I. A descriptive method for grouping genotypes. Can. J. Plant Sci, 58: 1029–1034.

Furdychko, O. I. and Neyko, I. S. 2019. Ecological model of "genotype-environment" assessment of productivity and stability of the main forest-forming species in Ukraine. Sustainable Nature Management, 1: 5–14 (in Ukrainian).

Hayda, Yu. I., Popadynets, I. M., Yatsyk, R. M., Yatsyk, R. M., Parpan, V. I., Humeniuk, I. R., Kukharskyi, T. V., Tyrchyk, A. B., Kozatska, N. Ya., Trentovskyi, V. V. 2008. Forest genetic resources and their preservation in Ternopil region. Ternopil, Pidruchnyky i posibnyky, 288 p. (in Ukrainian).

Hayda, Yu. I., Sishchuk M. N., Yatsyk R. M. 2013. Environmental stability and plasticity of growth traits of Quercus robur L. and Pinus sibirika Du Tour. in provenance trials. Scientific Bulletin of UNFU, 23.13: 101–109 (in Ukrainian).

Hayda, Yu. I., Yatsyk, R. M., Los, S. A., Tereshchenko, L. I., Neyko, I. S., Trentovskyi, V. V. 2011. Genetic variation of the shape of the trunk in semisibs Quercus robur L. in 23-year-old test plantings in Western Podillia. Scientific Bulletin of NAU, 164: 157–167 (in Ukrainian).

Hamann, A., Gylander, T., Chen, P. Y. 2011. Developing seed zones and transfer guide-lines with multivariate regression trees. Tree Genetics and Genomes, 7 (2): 399–408.

Hamann, A., Koshy, M. P., Namkoong, G., Ying, C. C. 2000. Genotype ? environment interactions in Alnus rubra: developing seed zones and seed transfer guidelines with spatial statistics and GIS. Forest Ecology and Management, 136 (1–3): 107–119.

Hanson, W. D. 1970. Genotypic stability. Theor. Appl. Gen, 40: 226–231.

H?hn, M. 1990. Nonparametric measures of phenotypic stability. Euphytica, 47: 189–194.

H?hn, M. 1996. Nonparametric analysis of genotype ? environment interaction by ranks. In: Kang, M. S. & Gauch, H. G. (Eds.). Genotype by environment interaction. CRC Press, BocaRaton, FL., p. 213–228.

Kang, M. S. and Pham, H. N. 1991. Simultaneous selection for high yielding and stable crop genotypes. Agronomy Journal, 83: 161–165.

Lin, C. S. and Binns, M. R. 1988. A superiority measure of cultivar performance for cultivar location data. Can J. Plant Sci, 68: 193–198.

Los, S. A., Hryhorieva, V. H., Samodai, V. P., Neyko, I. S. 2018. Complex assessment of larch species and hybrids perspectivity for the Forest-Steppe of Ukraine conditions. Proceedings of the Forestry Academy of Sciences of Ukraine, 16: 62–70 (in Ukrainian).

Los, S. A., Neyko, I. S., Hryhorieva, V. H., Plotnikova, O. M. 2012. Results of the test of 25-year-old progeny of English oak trees in Khmelnytskyi region. Forestry and Forest Melioration, 120: 44–50 (in Ukrainian).

Mazhula, O. S., Lukianets, V. A., Bulat, A. H. 2007. Comprehensive selection of Scots pine (Pinus sylvestris L.) stands and trees to create a seed base. Forestry and Forest Melioration, 111: 176–181 (in Ukrainian).

Metodology of Variety Testing of Forest Tree Species. Departmental testing (new edition). 2019. Los, S. A., Tereshchenko, L. I., Torosova, L. O., Hayda, Yu. I., Vysotskaya, N. Yu., Yatsyk, R. M., Grigorieva, V. G., Plotnikova, O. M., Shlonchak, G. A., Mitrochenko, V. V., Dishko, V. A. (Eds.). Kharkiv, URIFFM, 37 p. (in Ukrainian).

Patlay, І. М. and Моlotkov, P. І. 1997. Metodology of forest tree species variety testing in Ukraine. Kyiv, 40 р. (in Ukrainian).

Nassar, R. and H?hn, M. 1987. Studies on estimation of phenotypic stability: Tests of significance for nonparametric measures of phenotypic stability. Biometrics, 43: 45–53.

Neyko, I. S. and Kolchanova, O. V. 2018. Adaptability and growth characteristics of poplar varieties in the conditions of Podillia. Scientific Bulletin of UNFU, 28 (7): 53–56 (in Ukrainian).

Pyatnytskyi, S. S. 1954. Tree breeding of English oak. Moscow, Goslesbumizdat, 148 p. (in Russian).

Shukla, G. K. 1972. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity, 29: 237–245.

Tai, G. C. 1971. Genotypic stability analysis and its application to potato regional trials. Crop Sci, 11: 184–190.

Tereshchenko, L. I., Samodai, V. P., Los, S. A. 2011. The results of the study of the first progeny test of Scots pine in Ukraine. Forestry and Forest Melioration, 118: 128–136 (in Ukrainian).

Thennarasu, K. 1995. On certain non-parametric procedures for studying genotype environment interactions and yield stability. PhD thesis. PJ School IARI, New Delhi, India.

Ukalska, J., Smialowski, T., Ukalski, K. 2011. Comparison of parametric and non-parametric stability measures on the basis of data from preliminary trails with winter rye. Bulletin of the Institute of Cultivation and Plant Acclimatization, 260: 263–272.

WorldClim [Global climate and weather data]. 2022. [Electronic resource]. Available at: https://www.worldclim.org (accessed 11.10.2022).

Wricke, G. 1962. Bei eine Methode zur Erfassung der ?kologischen Streubreite in Feldversuchen. Z. Pflanzenz?chtg, 47: 92–96.

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