中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimating Sink Parameters of Stochastic Functional-Structural Plant Models Using Organic Series-Continuous and Rhythmic Development

文献类型:期刊论文

作者Kang, Mengzhen1,2; Hua, Jing1,2; Wang, Xiujuan1,3; de Reffye, Philippe4; Jaeger, Marc4; Akaffou, Selastique5
刊名FRONTIERS IN PLANT SCIENCE
出版日期2018-11-30
卷号9页码:17
ISSN号1664-462X
关键词greenlab inverse method source-sink parameters functional-structural plant model stochastic development parameter estimation
DOI10.3389/fpls.2018.01688
通讯作者Wang, Xiujuan(xiujuan.wang@ia.ac.cn)
英文摘要Functional-structural plant models (FSPMs) generally simulate plant development and growth at the level of individual organs (leaves, flowers, internodes, etc.). Parameters that are not directly measurable, such as the sink strength of organs, can be estimated inversely by fitting the weights of organs along an axis (organic series) with the corresponding model output. To accommodate intracanopy variability among individual plants, stochastic FSPMs have been built by introducing the randomness in plant development; this presents a challenge in comparing model output and experimental data in parameter estimation since the plant axis contains individual organs with different amounts and weights. To achieve model calibration, the interaction between plant development and growth is disentangled by first computing the occurrence probabilities of each potential site of phytomer, as defined in the developmental model (potential structure). On this basis, the mean organic series is computed analytically to fit the organ-level target data. This process is applied for plants with continuous and rhythmic development simulated with different development parameter sets. The results are verified by Monte-Carlo simulation. Calibration tests are performed both in silico and on real plants. The analytical organic series are obtained for both continuous and rhythmic cases, and they match well with the results from Monte-Carlo simulation, and vice versa. This fitting process works well for both the simulated and real data sets; thus, the proposed method can solve the source-sink functions of stochastic plant architectures through a simplified approach to plant sampling. This work presents a generic method for estimating the sink parameters of a stochastic FSPM using statistical organ-level data, and it provides a method for sampling stems. The current work breaks a bottleneck in the application of FSPMs to real plants, creating the opportunity for broad applications.
WOS关键词FIELD VALIDATION ; GROWTH-MODEL ; SIMULATION ; GREENLAB ; OPTIMIZATION ; ARCHITECTURE ; DYNAMICS ; SCIENCE ; LIGNUM ; TREES
资助项目National Science Foundation of China[61533019] ; National Science Foundation of China[31400623] ; National Science Foundation of China[91720000] ; National Science Foundation of China[31700315]
WOS研究方向Plant Sciences
语种英语
出版者FRONTIERS MEDIA SA
WOS记录号WOS:000451889800001
资助机构National Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/25709]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Wang, Xiujuan
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, LIAMA, Beijing, Peoples R China
2.Qingdao Acad Intelligent Ind, Innovat Ctr Parallel Agr, Qingdao, Peoples R China
3.Beijing Engn Res Ctr Intelligent Syst & Technol, Beijing, Peoples R China
4.Univ Montpellier, CNRS, Amap Unit, CIRAD,INRA,IRD, Montpellier, France
5.Univ Jean Lorougnon Guede, Dept Seeds & Seedlings Prod, Daloa, Ivory Coast, Cote Ivoire
推荐引用方式
GB/T 7714
Kang, Mengzhen,Hua, Jing,Wang, Xiujuan,et al. Estimating Sink Parameters of Stochastic Functional-Structural Plant Models Using Organic Series-Continuous and Rhythmic Development[J]. FRONTIERS IN PLANT SCIENCE,2018,9:17.
APA Kang, Mengzhen,Hua, Jing,Wang, Xiujuan,de Reffye, Philippe,Jaeger, Marc,&Akaffou, Selastique.(2018).Estimating Sink Parameters of Stochastic Functional-Structural Plant Models Using Organic Series-Continuous and Rhythmic Development.FRONTIERS IN PLANT SCIENCE,9,17.
MLA Kang, Mengzhen,et al."Estimating Sink Parameters of Stochastic Functional-Structural Plant Models Using Organic Series-Continuous and Rhythmic Development".FRONTIERS IN PLANT SCIENCE 9(2018):17.

入库方式: OAI收割

来源:自动化研究所

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