World Journal of Agricultural Research
ISSN (Print): 2333-0643 ISSN (Online): 2333-0678 Website: http://www.sciepub.com/journal/wjar Editor-in-chief: Rener Luciano de Souza Ferraz
Open Access
Journal Browser
Go
World Journal of Agricultural Research. 2013, 1(1), 18-24
DOI: 10.12691/wjar-1-1-5
Open AccessArticle

Dynamics of the Information Exchange and the Causal-and-Effect Relationships in Plants under Controlled Conditions

Vladimir K. Mukhomorov1,

1Agrophysical Institute, St.-Petersburg, Russia

Pub. Date: April 25, 2013

Cite this paper:
Vladimir K. Mukhomorov. Dynamics of the Information Exchange and the Causal-and-Effect Relationships in Plants under Controlled Conditions. World Journal of Agricultural Research. 2013; 1(1):18-24. doi: 10.12691/wjar-1-1-5

Abstract

Information theory methods were used to process extensive test data on the content of chemical elements in wheat and tomato plant organs obtained during their year-round and intensive cultivation on initially abiogenic mineral crushed stone (granite and zeolite). The directions of information flows related to redistribution chemical elements (Ca, K, P, S, Na, Si, Al, Fe, Zn, Mn, Mg, and Cl) between plant organs were revealed. Cause-and-effect relations in the dynamics of heterogeneity of chemical elements in plant organs under condition of primary soil formation were established. It is demonstrated that the total state of the chemical elements that determined by the integral indicator – information function – is differentiated for various plant organs. A cause-and-effect relation between the composition of organic matter of the root-inhabited environment and the elemental chemical composition of plant organs (root, stem, leaf and fruit, grain) is established by the method of information theory.

Keywords:
abiogenic mineral substrate cause-and-effect relation chemical elements information flow information function intensive cultivation mineral Crushed stone multicomponent systems organic matter pedogenesis primary soil formation

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Figures

Figure of 7

References:

[1]  Mukhomorov, V. K., Anikina, L. M., “Elemental Chemical Composition of Plants under Primary Pedogenic Conditions,” Russian Agricultural Sciences, 35(6). 378-386. Dec. 2009.
 
[2]  Mukhomorov, V. K., Anikina, L. M., Dynamics of Mineral Elements in Plants. Primary Soil Formation, LAP Lambert Academic Publishing, Saarbrücken, Germany, 2012, 145-199 [in Russian].
 
[3]  Mukhomorov, V.K., Anikina, L.M., “Information Flows in Coupled Organic Matter-Microbiotic Community Systems of the Root Environment under Primary Pedogenic Processes,” Russian Agricultural Sciences, 34(5). 322-324 Oct. 2008.
 
[4]  Vernadskiy, V. I., Chemical Composition of Living Matter in the Context of Chemistry of the Earth’s Crust, Nauka, Moscow, 1987.
 
[5]  Polynov, B. K., Selected Works, Academy of Sciences USSR, Moscow, 1956.
 
[6]  Ermakov, A. I., Methods of Biochemical Investigation of Plants, Nauka, Leningrad, 1987.
 
[7]  Aristovskaya, T. V., Microbiology of Soil-Formation Processes, Nauka, Leningrad, 1980.
 
[8]  Ermakov, E. I., Zuev, V. S., Anikina, L. M. “The Moisture Status at the Phase Boundary as an Index of the Primary Soil Formation Intensity”, Eurasian Soil Sciences, 38(2). 173-177 Feb. 2005.
 
[9]  Aleksandrova, L. N., Soil Organic Matter and Its Transformation, Nauka, Leningrad, 1980.
 
[10]  Shannon, C., Works on Information and Cybernetics, IL, Moscow, 1963.
 
[11]  Kastler, H., Alphabet of information theory, In: Kastler, H., Ed., “Essays on the Use of Information Theory in Biology,” Univ. Illinois Press, Urban, Illinois, 1953, 9-53.
 
[12]  Kolmogorov, A.N., Information Theory and Theory of Algoritms, Nauka, Moscow, 1987.
 
[13]  Korotaev, S. M., Khachai, O. V., Shabelianskiy, S. V., “Causal analysis of the horizontal diffusion of electromagnetic fields in the ocean,” Geomagnetizm and Aeronomy, 33(2). 128-133. Feb. 1993.
 
[14]  Fleis, J., Statistical Methods for Rates and Proportions, John Wiley & Sons, New York-Singapore, 1973.