ECOLOGICAL INTERACTION MODEL OF «GENOTYPE — ENVIRONMENT» FOR ESTIMATION OF PRODUCTIVITY AND STABILITY OF MAIN TREE SPECIES IN UKRAINE
DOI:
https://doi.org/10.33730/2310-4678.1.2019.170515Keywords:
main forest tree species, tree breeding, half sibs, sibs, varieties, genotype-environment interaction, ecological plasticityAbstract
The genotype-environment interaction under individual and population selection studied studied in
article. The basic principles of forest genetics, tree breeding and introduction in Ukraine are considered.
Despite significant advances in selection and testing of progeny at the individual and population levels,
aspects of interaction with the environment have not been investigated. The study of halfsibs and sibs
progeny, varieties and hybrids was conducted only in the context of productivity in the same type of
environment condition. At the same time, the issue of reacting and interacting with the environment has
not been studied. In conditions of global warming, changes in soil and hydrological conditions, there is
a need for the use of modern methods for assessing the response of genotypes to environmental changes.
The article presents the main approaches to assessing the interaction of genotype (variety) — environment
in order to introduce effective mechanisms for improving the quality of selection. The parametric and
nonparametric estimation models based on previous developments of foreign scientists are considered. In
particular, the main models developed by Eberhart and Russel (1966), Thai (1971), Shukla (1972), Hanson
(1988), Nassar and Hyn (1987), Fox (1990) and Kang (Kang, 1991). The interpretation of the results
calculated for the indicators is given. The paper states that existing models have both positive and flaws.
Therefore, when evaluating the interaction of genotype-environment it is expedient to use several models.The use of several models makes it possible to identify with high confidence the most productive, stable and adapted genotypes under certain environmental conditions. This is especially true in the conditions of global climate change, the variability of soil-hydrological conditions of the environment.
References
Furdychko, O.I., Lavrov, V.V. (2009). Lisova haluz u konteksti zbalansovanoho rozvytku: teoretykometodolohichni, normatyvno-pravovi ta orhanizatsiini aspekty [Forestry in the context of sustainable development: theoretical and methodological, legal and organizational aspects]. Kyiv: Osnova. 424. (In Ukr.)
Furdychko, O.I (2003). Lisove hospodarstvo Ukrainy: perspektyvy, kryterii ta indykatory ekolohichno staloho vedennia y upravlinnia [Forestry of Ukraine: prospects, criteria and indicators of environmentally sustainable management]. Rehionalna ekonomika [Regional economy]. 1, 21–35 (In Ukr.)
Furdychko, O.I (2001). Osnovni napriamy rozvytku lisohospodarskoho kompleksu Ukrainy [Main directions of development of forestry complex of Ukraine]. Visnyk ahrarnoi nauky [Bulletin of Agrarian Science]. 10, С. 68–71 (In Ukr.)
Furdychko, O.I., Shershun, M.Kh., Neyko, I.S. (2012). Osnovni zasady systematyzatsii i optymizatsii kryteriiv ta indykatoriv pan-yevropeiskoi stratehii zbalansovanoho upravlinnia lisamy [The basic principles of systematization and optimization of criteria and indicators of the pan-European strategy for sustainable forest management]. Tavriiskyi naukovyi visnyk [Taurian Scientific Bulletin]. 71, 362–370 (In Ukr.)
Los S.A., Tereshchenko L., Gayda, Yu.I. et al. (2014). State forest genetic resources in Ukraine. Kharkiv, 138.
Yurkiv, Z.M., Neyko, I.S., (2017). Perspektyvy pidvyshchennia produktyvnosti lisiv metodamy lisovoi selektsii ta lisovoho nasinytstva [Prospects of increasing the productivity of forests of ukraine by methods of forestry selection and forest seeds]. Silske hospodarstvo ta lisivnytstvo [Agriculture and forestry]. Сільське господарство та лісівництво. 7, 24–32 (In Ukr.)
Neyko, I.S., Kolchanova, O.V. (2018). Adaptyvnist ta osoblyvosti rostu sortiv topoli v umovakh Podillia. [Adaptability and peculiarities of poplar varieties growth in conditions of the podillya region]. Naukovyi visnyk NLTU Ukrainy. [Scientific Bulletin of UNFU], 28 (7), 53–56. (in Ukr.)
Becker H. B., Leon J. (1988). Stability analysis in plant breeding. Plant Breed., 101, 23–50.
Dia, M., Wehner, T, Arellano, C. (2016). Analysis of genotype × environment interaction (G×E) using SAS Programming. Agronomy journal. Biometry, modeling and statistics. Vol. 108. Iss. 5, 1838–1852.
Eberhart S. A., Russell W. A. (1966). Stability parameters for comparing varieties. Crop Sci. 6, 36–40.
Finlay, K.W. and Wilkinson, G.N. (1963). The Analysis of Adaptation in Plant Breeding Programme. Australian Journal of Agricultural Research, 14, 742–754.
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., 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.
Hanson W.D. (1970). Genotypic stability. Theor. Appl. Gen., 40, 226–231.
Hühn M. (1990). Nonparametric measures of phenotypic stability. Part 1 Theory. Euphytica, 47, 189–194.
Hühn M. (1996). Nonparametric analysis of genotype — environment interaction by ranks. In: Kang M.S., Gauch H.G. (eds.). Genotype by environment interaction. CRC Press, Boca Raton, FL, USA, 213–228.
Kang M.S. (1988). A rank sum method for selecting high yielding and stable crop genotypes. Cereal Res. Commun., 16, 113–115.
Kang M.S., Pham H.N. (1991). Simultaneous selection for high yielding and stable crop genotypes. Agron. J, 83, 161–165.
Lin C.S., Binns M.R. (1988). A superiority measure of cultivar performance for cultivar x location data. Can J. Plant Sci. 68, 193–198.
Nassar, R. Hühn M. (1987). Studies on estimation of phenotypic stability: Tests of significance for nonparametric
measures of phenotypic stability. Biometrics 43, 45–53.
Shukla G. K. (1972). Some statistical aspects of partitioning genotype-environmental components of variability. Heredity 29, 237–245.
Tai G.C.C. 1971. Genotypic stability analysis and its application to potato regional trials. Crop Sci. 11: 184–190.
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. 260/261, 263–272.
Wricke G. 1962. Bei eine Methode zur Erfassung der ökologischen Streubreite in Feldversuchen. Z. Pflanzenzüchtg. 47, 92–96.
Eduardo P. Cappa, Facundo Muñoz, Leopoldo Sanchez, and Rodolfo J. C. Cantet. (2015). «A novel individualtree mixed model to account for competition and environmental heterogeneity: a Bayesian approach». In: Tree Genetics & Genomes 11.6, 1–15.
Downloads
Published
Issue
Section
License
- The authors reserve the right to authorship their work and pass the journal the right to publish this work under a Creative Commons Attribution License license, which allows other persons to freely distribute the published work with the obligatory The authors of the original work and the first publication of this magazine.
- The authors have the right to make independent additional agreements on the nonexclusive dissemination of the work in the form in which it was published by this magazine (for example, to post work in the company's electronic storage or to publish as a monograph) , subject to the first publication of the link to this journal.
- Journal policy allows and encourages the placement of authors on the Internet (for example, in the repositories of institutions or on personal websites) manuscript work as to the presentation of this manuscript to the editorial board and during its editorial processing, as it contributes to The productive scientific discussion and positively affects the efficiency and dynamics of citation published work (see The Effect of Open Access).