Welcome to Smart Agriculture 中文

Smart Agriculture ›› 2021, Vol. 3 ›› Issue (2): 77-87.doi: 10.12133/j.smartag.2021.3.2.202103-SA006

• Topic--Crop Model and Visualization • Previous Articles     Next Articles

From Stand to Organ Level—A Trial of Connecting DSSAT and GreenLab Crop Model through Data

WANG Xiujuan1,2(), KANG Mengzhen1,3(), HUA Jing1,4, DE REFFYE Philippe5   

  1. 1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
    3.Beijing Engineering Research Center of Intelligent Systems and Technology, Beijing 100190, China
    4.Qingdao Agri Tech Co. , Ltd. , Qingdao 266000, China
    5.CIRAD, UMR AMAP, Montpellier F-34398, France
  • Received:2021-03-16 Revised:2021-05-20 Online:2021-06-30 Published:2021-08-25
  • corresponding author: Mengzhen KANG E-mail:xiujuan.wang@ia.ac.cn;mengzhen.kang@ ia.ac.cn


Crop models involve complex plant processes, which can be built in different scales of space and time, from molecule, cell, organ, tissue, individual to stand in space and from second to year in time. Based on different research requirements, switching the model scales can make the applicability of the model more extensive and flexible. How to switch the crop model from stand level to organ level is the content of this research. The DSSAT software (stand level) and functional-structural plant model 'GreenLab' (organ level) were chosen to explore the possibility to switch the crop model from stand to organ level. The DSSAT can simulate the growth and development processes of crops in detail according to the growth period by taking the data of weather, soil, crop management, and observational data as input. The GreenLab can simulate the growth and development and their interaction of crops by considering plant structure, and the model parameters can be estimated according to the measurements. In this study, the experimental data contains two parts: the measurements of four maize cultivars with two treatments (irrigated and rainfed) in DSSAT, and the simulations including the weights of leaves, internodes and fruits per day using DSSAT based on the measurements. The simulation results of DSSAT were used to calibrate the parameters of the environmental (E), sink strength (Po), and remobilization (kb and ki) in GreenLab, and to compute the weights of leaves, internodes and fruits for each phytomer. The simulation results of the GreenLab model were compared and analyzed with the experimental data and the simulations of DSSAT. The consistency of calculation results could be an indicator to explore the method of building an interface between different-scale crop models, and to compare the characteristics of different models. The results showed that the GreenLab model could reproduce the simulation data of the DSSAT and the measurement data, including the leaf area index (LAI) and the total weight of the plants, and further could compute the biomass for each organ (leaf, internode and fruit), and the biomass distribution among organs, the biomass production (Q), the demand (D) and the ratio between Q and D during the growth. Therefore, the detailed information of organ growth and development could be reproduced and the 3D structures of plant could be given. Finally, the advantages and application fields of different-scale model integration were discussed.

Key words: crop model, different model scale, functional-structural plant model, model integration, DSSAT, GreenLab, parameter estimation

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