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

? 專題--作物模型與可視化 ? 上一篇    下一篇

從群體到個體尺度——基于數據的DSSAT和GreenLab作物模型連接探索

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

  1. 1.中國科學院自動化研究所 復雜系統管理與控制國家重點實驗室,北京 100190
    2.中國科學院大學 人工智能學院,北京 100049
    3.北京市智能化技術與系統工程技術研究中心,北京 100190
    4.青島中科慧農科技有限公司,山東 青島,266000
    5.法國農業發展研究中心(CIRAD) 植物學與植物構筑模型聯合實驗室(UMR AMAP),蒙彼利埃F -34398,法國
  • 收稿日期:2021-03-16 修回日期:2021-05-20 出版日期:2021-06-30 發布日期:2021-08-25
  • 基金資助:
    國家自然科學基金項目(62076239);中國科學院與泰國科技發展署合作研究資助項目(GJHZ2076)
  • 作者簡介:王秀娟(1982-),女,博士,助理研究員,研究方向為作物模型。E-mail:xiujuan.wang@ia.ac.cn。
  • 通訊作者: 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長發育的復雜過程,空間上從分子到細胞、組織、器官、個體、群體等不同尺度,時間尺度上可以從秒到年?;诓煌难芯啃枨?,切換作物模型尺度,可使得作物模型的適用性更廣泛靈活。其中,如何從群體尺度的作物模型轉入個體尺度的作物模型是本研究的內容。本研究基于四個玉米品種的兩個處理(灌溉和雨養)的已有的實驗數據和基于這些數據的DSSAT系統的模擬數據,校準功能結構模型GreenLab的參數,以計算結果一致為指標,探索不同空間尺度模型建立接口的方法,比較不同模型的特點。結果表明,GreenLab模型可以復現DSSAT系統的模擬數據和實際測量數據,進一步可以反演出各種器官之間生物量的分配并進行三維可視化展示。最后討論了不同空間尺度模型結合的優勢及應用領域。

關鍵詞: 作物模型, 不同尺度模型, 功能結構模型, 模型連接, DSSAT, GreenLab, 參數估計

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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