Research Article | Open Access | 10.31586/Agrophysical.0101.03

The dynamics of plant productivity under controlled conditions. Diversity or information exchange?

  • Vladimir K Mukhomorov Agrophysical Institute, St.-Petersburg, 195220, Russia

Abstract

We result statistical analysis of experimental data on physical modeling of primary soil formation under long and continuous cultivation of plants on initially abiogenous mineral substrates (granite crushed stone, zeolite). The purpose of the experiment was to follow the dynamics of the evolutionary changes in the mineral substrate under condition long-term operation. We used the information approach to quantitative analyze of the relationship of primary soil formation process with the vital activity of plants (tomato, spring wheat) under controlled conditions. We analyzed the dynamics of the diversity of emerging organic matter in the mineral substrate and the biotic community. To quantify the diversity of multicomponent systems, we used information function. We have shown that the dynamics of plant productivity was statistically significant related to the parameter of information exchange between emerging organic matter and biotic community. It has been established that the increase in the total content of organic matter in the mineral substrate does not have a statistically significant correlation with the productivity of plants.

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Reference

[1]
Mukhomorov V.K., and Anikina L.M. (2012) Dynamics of Mineral Elements in Plants. Primary Soil Formation. LAMBERT Academic Publishing. Saarbr?cken (in Russian).
[2]
Assing I.A. (1950) Izv. Akad. Nauk Kazakh. SSR. Ser. Pochv., no.6, 101-108.
[3]
Polynov B.K. Selected Works, Academy of Sciences USSR, 1956.
[4]
Popov A.I. (2004) Humic Substances: Properties, Structure, and Formation, St.Petersburg (in Russian).
[5]
Alexandrova L.N. (1980) Soil Organic Matter and Processes of Its Transformation. Leningrad: Nauka (in Russian).
[6]
Ermakov E.I. (1984) USSR Author?s Certificate, Bull. 21.
[7]
Ermakov A.I. (1987) Methods of Biochemical Investigation of Plants. Leningrad (in Russian).
[8]
Shannon C.E. (1948) A Mathematical Theory of Communication. Bell Sys. Tech. Journal, 27, 379-423, 623-656.
[9]
Kolmogorov A.N. (1987) Information Theory and Theory of Algorithms. Nauka, Moscow (in Russian).
[10]
Mukhomorov V.K., and Anikina L.M. (2011) Information Flows between Organic Matter of the Roots Environment and Elemental Chemical Composition of Plants under Primary Pedogenic Conditions. Russian Agricultural Sciences, 37, 322-326.
[11]
Essays on the Use of Information Theory in Biology. (1953) Kastler H., Ed. Univ. Illinois Press, Urbana.
[12]
Mukhomorov V.K., and Anikina L.M. (2014). Evolutionary Dynamics of Intercoupling of the Chemical Elements in Plants and Primary Soil-Forming Processes. Trends Journal of Sciences Research, 1(1), 1-11.
[13]
Fleis J. (1973) Statistical Methods for Rates and Proportions. Wiley, New York.
[14]
Ermakov E.I., Anikina L.M. and Mukhomorov V.K. (1990). Soderzhaniye nitratov v produktsii ovoshchnykh i zernovykh kul'tur v zavisimosti ot kolichestva organicheskogo veshchestva v korneobitayemykh sredakh (The nitrate content in the production of vegetable and cereal crops, depending on the amount of organic matter in the rooting medium). Doklady Rossiyskoy akademii sel'skokhozyaystvennykh nauk (Reports of the Russian Academy of Agricultural Sciences), no.11,14-17. (in Russian).

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Published
December 30, 2014
How to Cite
K MUKHOMOROV, Vladimir. The dynamics of plant productivity under controlled conditions. Diversity or information exchange?. Trends Journal of Sciences Research, [S.l.], v. 1, n. 1, p. 17-25, dec. 2014. ISSN 2377-8083. Available at: <http://www.tjsr.org/journal/index.php/tjsr/article/view/5>. Date accessed: 21 feb. 2020.