1. 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, June, 2015

2. 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

3. 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

4. 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

5. 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)

6. Calibration of AGROTOOL
Spring barley

7. Calibration of AGROTOOL model (2)
Winter
rape

8. Calibration of AGROTOOL model(3)
Winter wheat

9. Results for Lednice

10. Results for Lednice (2)

11. Spin-up effect (“Groundhog Year” Test)

12. Verovany results

13. Spring barley

14. Maize

15. Winter wheat 06

16. Winter rape

17. Thanks for your attention