Integrated Simulation Environment APEX-AGROTOOL: prospects in Crop Rotation Modeling Alex Topaj Sergey Medvedev Elena Zakharova Workshop: “Crop growth and soil processes modeling - the use of multi-model ensembles for crop rotations under recent and future climatic conditions” Brno, 29-30 June, 2015

Simulation software infrastructure & components Stationary DataBase SIAM (MS Access, PostgreSQL…) Project AGROTOOL Selector ODB (MS Excel) System of Polyvariant Analysis APEX Model AGROTOOL Adapter Agrotool Weather Generator Parameter Identification Results Single Running Interface Weather Generator Desktop GUI Input data Web-Interface Adapter Third-party model Project SIAM Results - data flows - control Project APEX Third-party model

Generic Crop Model AGROTOOL v 3.5. Modeling domain Approach Leaf Area Development & Light Interception D Light Utilization P-R Yield Formation Y(PRT) Crop Phenology f(T,O) Root Distribution over Depth EXP Stresses Involved W, N Water Dynamics R Evapo-transpiration PM Soil CN-model CN, P(5) Limiting factors I (Photosynthesis, phenological development) II (Water regime) III (Nitrogen regime) IV (mineral nutrition) V (ecology) competition, pests, insects P, K, microelements N, C W, P Q, T

Multivariate running. Full factor experiment PROJECT Ключевыми понятиями поливариантного расчёта являются «проект» и «сценарий». Сценарий – это полный набор данных, требуемый для однократного прогона модели, связанный с результатами, полученными в этом прогоне. Проект – это набор сценариев, относящихся к одному вычислительному компьютерному эксперименту. Для создания проекта по всем факторам, поддерживаемым моделью продукционного процесса, выбирается не менее одной градации. После этого путём прямого Декартового произведения множеств получается полный факторный эксперимент, каждая точка которого в факторном пространстве является сценарием. RESULTS Дата BLEAF WSOIL EPLANT 13/04/11 0.12 22.1 324 14/04/11 0.14 24.1 345 15/04/11 0.16 23.4 355 … RUN Scenario 4

Crop Rotation Analysis Requirement Current state Crop model: AGROTOOL: Generic simulator Versatile algorithm for all maintained cultures. Calibrated models for cereals (summer and winter wheat, winter rye, barley, oats), maize, potato, root vegetables, annual and perennial forages, legumes. «Wintering» Continuous calculation. Modified descriptions of snow melting and soil thermal regime. Predecessor influence Separated calculation of litter and root residues in the module of carbon-nitrogen transfer and transformation in soil. Sub-model of symbiotic nitrogen fixation and nodule nitrogen dynamics. Simulation infrastructure: APEX: Multiple running Validated and implemented integrated environment for multivariate analysis and automation of computer experiments with crop models. Crop rotation support Special plug-in for planning not full factorial experiments and performing complex serial-parallel schemes of scenario computation. Forecasting Built-in stochastic generator of daily weather variables that takes into account possible climate changes. «Inherited» model variables: Shoot litter (aboveground biomass) Root litter (belowground biomass) Humus content in 1m. Layer Total Mineral Nitrogen in 1m. Layer Nodule Nitrogen (for legumes)

Calibration of AGROTOOL Spring barley

Calibration of AGROTOOL model (2) Winter rape

Calibration of AGROTOOL model(3) Winter wheat

Results for Lednice

Results for Lednice (2)

Spin-up effect (“Groundhog Year” Test)

Verovany results

Spring barley

Maize

Winter wheat 06

Winter rape

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