Eurasian Journal of Soil Science
Volume 4, Issue 2, Apr 2015, Pages 118 - 125DOI: 10.18393/ejss.89702
Stable URL: http://ejss.fess.org/10.18393/ejss.89702
Copyright © 2015 The authors and Federation of Eurasian Soil Science Societies
Mathematical models of fertility for the soils of Azerbaijan
Article first published online: 04 Feb 2015 | How to cite | Additional Information (Show All)
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Ismayilov, A., Mikailsoy, F., 2015. Mathematical models of fertility for the soils of Azerbaijan. Eurasian J. Soil Sci. 4(2): 118 - 125. DOI : 10.18393/ejss.89702Author information
Amin Ismayilov , Azerbaijan National Academy of Sciences, Institute of Soil Science and Agrochemistry, Baku, AzerbaijanFariz Mikailsoy , Iğdır University, Faculty of Agriculture, Department of Soil Science and Plant Nutrition, Iğdır, Turkey
Publication information
Issue published online: 01 Apr 2015Article first published online : 04 Feb 2015
Manuscript Accepted : 19 Jan 2015
Manuscript Received: 15 Jul 2014
DOI: 10.18393/ejss.89702
Stable URL: http://ejss.fesss.org/10.18393/ejss.89702
Abstract
The experience shows that when constructing soil fertility models, many researchers prefer single-valued regression analysis. This is primarily due to the fact that regression analyses require simpler statistical calculations, and on the other hand, regression equations enable a physical explanation of the process under study. The research goal is to determine the effect of soil fertility indices and mineral fertilizers on the yields of crops (cereals) grown in the Karabakh Steppe on gray-brown irrigated soils.Keywords
Mathematical modeling, soil fertility, regression analysis, adequacy of the model
Corresponding author
References
Aparin, B.F., 1998. Soil fertility parameters and management systems. Bulletin of Dokuchaev Soil Institute 48: 12-15. [In Russian].
Methods of Mathematical Biology, 1982. Book 4. Methods of identification of mathematical models of biological systems. Kiev, Ukraine. 192 p. [In Russian].
Mikayilov, F.D., 2014. Modeling of some soil processes. Bulletin of Altai State Agricultural University 7(117): 59-64. [In Russian].
Neuymin, Ya.G., 1984. Models in science and technology. History, theory, practice. Leningrad: Russia. Nauka, 192 pp. [In Russian].
Nuriyeva, K.G., 1994. Agromelioration evaluation and development of optimal soil fertility model of the Karabakh Plain. Thesis Abstract. Cand. Agr. Sci. – Baku, Azerbaijan. 20 pp. [In Russian].
Pachepskiy, Ya. A., 1992. Mathematical models of the processes in reclaimed soils. Moscow: Russia. MGU. 85 pp. [In Russian].
Poluektov, Z.A., 1991. Dynamic models of agro-ecosystems. – Leningrad: Russia. Gidrometeoizdat, 312 pp. [In Russian].
Semenov, V.A., 1982. On soil fertility modeling. In: Soil fertility models and the methods of their development. Scientific Paperes of Dokuchaev Soil Institute. Moscow, Russia. p.36-44. [In Russian].
France, J., Thornley, J.H.M., 1987. Mathematical models in agriculture; translated from English. Moscow, Russia. Agropromizdat, 400 pp. [In Russian].
Frid, A.S., 1990. The system of soil fertility models: development and use. Thesis Abstract. Dr. Agr. Sci. – Moscow, Russia. – 36 pp. [In Russian].
Shisho, L.L. Karmanov, I.I., Durmanov, D.N., 1987. Criteria and models of soil fertility. - Moscow: Russia. VO Agropromizdat, 184 pp. [In Russian].
Khomyakov, D.M. Khomyakov, P.M., 1996. Fundamentals of systems analysis. – Moscow: Mechanics and Mathematics Faculty of Lomonosov Moscow State University, 108 pp. [In Russian].
Ismayilov, A.I., 2013. Optimization problems of soil fertility. Soil-Water Journal 2(1): 1085-1090.
Abstract
The experience shows that when constructing soil fertility models, many researchers prefer single-valued regression analysis. This is primarily due to the fact that regression analyses require simpler statistical calculations, and on the other hand, regression equations enable a physical explanation of the process under study. The research goal is to determine the effect of soil fertility indices and mineral fertilizers on the yields of crops (cereals) grown in the Karabakh Steppe on gray-brown irrigated soils.
Keywords: Mathematical modeling, soil fertility, regression analysis, adequacy of the model
References
Aparin, B.F., 1998. Soil fertility parameters and management systems. Bulletin of Dokuchaev Soil Institute 48: 12-15. [In Russian].
Methods of Mathematical Biology, 1982. Book 4. Methods of identification of mathematical models of biological systems. Kiev, Ukraine. 192 p. [In Russian].
Mikayilov, F.D., 2014. Modeling of some soil processes. Bulletin of Altai State Agricultural University 7(117): 59-64. [In Russian].
Neuymin, Ya.G., 1984. Models in science and technology. History, theory, practice. Leningrad: Russia. Nauka, 192 pp. [In Russian].
Nuriyeva, K.G., 1994. Agromelioration evaluation and development of optimal soil fertility model of the Karabakh Plain. Thesis Abstract. Cand. Agr. Sci. – Baku, Azerbaijan. 20 pp. [In Russian].
Pachepskiy, Ya. A., 1992. Mathematical models of the processes in reclaimed soils. Moscow: Russia. MGU. 85 pp. [In Russian].
Poluektov, Z.A., 1991. Dynamic models of agro-ecosystems. – Leningrad: Russia. Gidrometeoizdat, 312 pp. [In Russian].
Semenov, V.A., 1982. On soil fertility modeling. In: Soil fertility models and the methods of their development. Scientific Paperes of Dokuchaev Soil Institute. Moscow, Russia. p.36-44. [In Russian].
France, J., Thornley, J.H.M., 1987. Mathematical models in agriculture; translated from English. Moscow, Russia. Agropromizdat, 400 pp. [In Russian].
Frid, A.S., 1990. The system of soil fertility models: development and use. Thesis Abstract. Dr. Agr. Sci. – Moscow, Russia. – 36 pp. [In Russian].
Shisho, L.L. Karmanov, I.I., Durmanov, D.N., 1987. Criteria and models of soil fertility. - Moscow: Russia. VO Agropromizdat, 184 pp. [In Russian].
Khomyakov, D.M. Khomyakov, P.M., 1996. Fundamentals of systems analysis. – Moscow: Mechanics and Mathematics Faculty of Lomonosov Moscow State University, 108 pp. [In Russian].
Ismayilov, A.I., 2013. Optimization problems of soil fertility. Soil-Water Journal 2(1): 1085-1090.