ИСТИНА

APSIM (Agricultural Production Systems sIMulator) [1] is an advanced tool for modelling in agriculture. It is based on use of complex mathematical model incorporating many communicating submodels including: 1.soil organic matter transofmation cycle 2. nitrates and phosphates transfromation cycle 3. water transport over soil profile 4. model of temperature distribution over soil profile 5. nutrients solvation 6. many models of potential crops. On the output user gets prediction of crop yield, soil carbon and nitrates concentration time-series, soil water disctribution over profile. It also allows to consider possible management and farm exploitation strategies such as 1. sowing time, depth and population density 2. tillage works and crop rotation cycles 3.type, amount and time of sowing fertilizer In our numerical experiments we use experimental data from Kshen' fields including history of meteorological measurements and soil agrophysical and agrochemical properties (tons of time-consuming experimental data). As a result of numerical experiments, we obtain qualitative agreement of simulations results with historical yield of wheat on experiments fields. We also obtain correct responce of the model output to change of sowing depth and change of sowing fertilizer strategy. We plan to continue exploitation of this software and validate it versus alternative decisions (e.g. DNDC [2] or DSSAT [3]). This work was supported by Skoltech/MIT NextGeneration program. [1] RL McCown, GL Hammer, JNG Hargreaves, DP Holzworth, and DM Freebairn. Apsim: a novel software system for model development, model testing and simulation in agricultural systems research. Agricultural systems, 50(3):255–271, 1996. [2] Donna L Giltrap, Changsheng Li, and Surinder Saggar. Dndc: A process-based model of greenhouse gas fluxes from agricultural soils. Agriculture, ecosystems & environment, 136(3):292–300, 2010 [3] James W Jones, Gerrit Hoogenboom, Cheryl H Porter, Kenneth J Boote, William D Batchelor, LA Hunt, Paul W Wilkens, Upendra Singh, Arjan J Gijsman, and Joe T Ritchie. The DSSAT cropping system model.