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

• 专题--作物模型与可视化 • 上一篇    下一篇

从群体到个体尺度——基于数据的DSSAT和GreenLab作物模型连接探索

王秀娟1,2(), 康孟珍1,3(), 华净1,4, DE REFFYE Philippe5   

  1. 1.中国科学院自动化研究所 复杂系统管理与控制国家重点实验室,北京 100190
    2.中国科学院大学 人工智能学院,北京 100049
    3.北京市智能化技术与系统工程技术研究中心,北京 100190
    4.青岛中科慧农科技有限公司,山东 青岛,266000
    5.法国农业发展研究中心(CIRAD) 植物学与植物构筑模型联合实验室(UMR AMAP),蒙彼利埃F -34398,法国
  • 收稿日期:2021-03-16 修回日期:2021-05-20 出版日期:2021-06-30 发布日期:2021-08-25
  • 基金资助:
    国家自然科学基金项目(62076239);中国科学院与泰国科技发展署合作研究资助项目(GJHZ2076)
  • 作者简介:王秀娟(1982-),女,博士,助理研究员,研究方向为作物模型。E-mail:xiujuan.wang@ia.ac.cn
  • 通讯作者: 康孟珍 E-mail:xiujuan.wang@ia.ac.cn;mengzhen.kang@ ia.ac.cn

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

摘要:

作物模型的研究涉及作物生长发育的复杂过程,空间上从分子到细胞、组织、器官、个体、群体等不同尺度,时间尺度上可以从秒到年。基于不同的研究需求,切换作物模型尺度,可使得作物模型的适用性更广泛灵活。其中,如何从群体尺度的作物模型转入个体尺度的作物模型是本研究的内容。本研究基于四个玉米品种的两个处理(灌溉和雨养)的已有的实验数据和基于这些数据的DSSAT系统的模拟数据,校准功能结构模型GreenLab的参数,以计算结果一致为指标,探索不同空间尺度模型建立接口的方法,比较不同模型的特点。结果表明,GreenLab模型可以复现DSSAT系统的模拟数据和实际测量数据,进一步可以反演出各种器官之间生物量的分配并进行三维可视化展示。最后讨论了不同空间尺度模型结合的优势及应用领域。

关键词: 作物模型, 不同尺度模型, 功能结构模型, 模型连接, DSSAT, GreenLab, 参数估计

Abstract:

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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