Sel’skokhozyaistvennaya Biologiya [Agricultural Biology], 2017, Vol. 52, № 3, p. 437-445.
(how to cite this article)

doi: 10.15389/agrobiology.2017.3.437eng

UDC 631.4/.9:51-76:519.876.5

 

CROP MODELS AS RESEARCH AND INTERPRETATIVE TOOLS

V.L. Badenko1, A.G. Topaj1, V.V. Yakushev1, W. Mirschel2, C. Nendel2

1Agrophysical Research Institute, Federal Agency of Scientific Organizations, 14, Grazhdanskii prosp., St. Petersburg, 195220 Russia, e-mail vbadenko@gmail.com (corresponding author), alex.topaj@gmail.com, mail@agrophys.com;
2Leibniz-Centre for Agricultural Landscape Research (ZALF),15374 Müncheberg, Eberswalder Str. 84,Germany, e-mail wmirschel@zalf.de, Claas.Nendel@zalf.de

ORCID:
Badenko V.L. orcid.org/0000-0002-3054-1786
Topaj A.G. orcid.org/0000-0002-0412-2385
Yakushev V.V. orcid.org/0000-0001-8434-5580
Mirschel W. orcid.org/0000-0002-3620-3171
Nendel  C. orcid.org/0000-0001-7608-9097

Received March 28, 2017

 

Mechanistic (eco-physiological), or process-oriented, approach to simulation modeling of the production process of plants assumes considering the essences of processes and cause-effect relationships in the agroecosystem with a description of their dynamics based on physically interpreted dependencies (as opposed to logically interpreted dependencies at the empirical approach) (A. Di Paola et al., 2016; R.A. Poluektov, 2010). The analysis of the possible use of dynamic simulation models of agro-ecosystems in the mechanistic nature of applied and theoretical research of agricultural biology is presented. The current practice of the development and usage of these models shows their highest suitability for research purposes in comparison to the potential usefulness and relevance to the practical problems of agronomy. Specific examples of model applications demonstrate the possibility of computer-based model experiments to get nontrivial results, which are not directly incorporated into the logic of the model algorithms (V. Badenko et al., 2014; S. Medvedev et al., 2015). The role of simulation model as a tool of obtaining new knowledge and interpretation of the empirically observed phenomena has been showed. To demonstrate the potentials of simulation models for agricultural biology, some results of authors' studies have been reviewed, including analyze of the appearance of a non-monotonic response function of crop yield on the doses of nitrogen fertilizer, the results of computer experiments on interpretation of the effect of the time delay during management of nitrogen feeding «on the leaf», and the joint impact of combined water and nitrogen stresses. Based on analysis of recent publications, conclusions of perspectives of models application to accelerate the plant breeding process were justified. It is concluded, i) further «biologization» of existing models is a prerequisite for a successful development of the dynamic crop growth modeling, and ii) it is necessary to increase the level of scientific validity of model approaches, which are used to describe the biotic processes in the soil—plant—atmosphere system.

Keywords: agro-ecosystems simulation model, crop production process, mechanistic approach, ideotype, plant breeding, breeding, G×E×M-oriented models.

 

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