Yield analysis as a function of stochastic plant architecture: Case of Spilanthes acmella in the wet and dry season
文献类型：期刊论文
| 作者 | Vavitsara, Marie Elodie1; Sabatier, Sylvie2; Kang, MengZhen3,4 ; Ranarijaona, Hery Lisy Tiana5; de Reffye, Philippe2
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| 刊名 | COMPUTERS AND ELECTRONICS IN AGRICULTURE
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| 出版日期 | 2017-06-01 |
| 卷号 | 138期号:2017页码:105-116 |
| 关键词 | Greenlab Plant Architecture Source-sink Parameters Model Calibration Stochastic Method Functional-structural Plant Model |
| DOI | 10.1016/j.compag.2017.04.012 |
| 文献子类 | Article |
| 英文摘要 | The number of organs produced by a plant varies among the individuals of a population. Taking these variations into account is an important step in understanding phenotypic variability. The aim of this study was to simulate stochastic development and growth in response to environmental change using GreenLab, an organ level functional-structural model. An annual herbaceous species, Spilanthes acmella L, was grown in pots in two climatic conditions corresponding to a wet and a dry season. Detailed records of plant development, plant architecture and organ growth were kept throughout the growing period. The concept of simple and compound organic series was introduced to target data for fitting. The model was calibrated using a mathematical model of stochastic plant development and growth. Here we describe (1) how a stochastic Functional Structural Plant Model is calibrated in two steps by first assessing the functioning parameters of meristems, and second the source-sink parameters of organs by fitting them on average organic series; (2) how dry conditions trigger the response of the plant both in the development of the inflorescence and in the allocation of biomass, quantified by model parameters. The calibration of a stochastic plant model opens a large window of opportunity to capture the common features of plant development and growth among stochastic individuals in a plant population, especially those with a branching structure. This extends the area of application of FSPM to analyzing food plants, or assisting breeding. (C) 2017 Elsevier B.V. All rights reserved. |
| WOS关键词 | STRUCTURAL MODEL GREENLAB ; TREE GROWTH-MODEL ; PARAMETER OPTIMIZATION ; EMERGENT PROPERTIES ; SIMULATION-MODEL ; FIELD VALIDATION ; L-PEACH ; DYNAMICS ; SYSTEMS ; CROP |
| WOS研究方向 | Agriculture ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000402360200011 |
| 资助机构 | Malagasy research grants ; University of Mahajanga ; AMAP (Botany and Computational Plant Architecture) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/15121]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 作者单位 | 1.Univ Mahajanga, Doctoral Sch Genie Vivant & Modelisat EDGVM, Mahajanga, Madagascar 2.CIRAD, AMAP, F-34398 Montpellier, France 3.Chinese Acad Sci, Inst Automat, LIAMA, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China 5.Univ Mahajanga, Doctoral Sch Nat Ecosyst EDEN, Mahajanga, Madagascar |
| 推荐引用方式 GB/T 7714 | Vavitsara, Marie Elodie,Sabatier, Sylvie,Kang, MengZhen,et al. Yield analysis as a function of stochastic plant architecture: Case of Spilanthes acmella in the wet and dry season[J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE,2017,138(2017):105-116. |
| APA | Vavitsara, Marie Elodie,Sabatier, Sylvie,Kang, MengZhen,Ranarijaona, Hery Lisy Tiana,&de Reffye, Philippe.(2017).Yield analysis as a function of stochastic plant architecture: Case of Spilanthes acmella in the wet and dry season.COMPUTERS AND ELECTRONICS IN AGRICULTURE,138(2017),105-116. |
| MLA | Vavitsara, Marie Elodie,et al."Yield analysis as a function of stochastic plant architecture: Case of Spilanthes acmella in the wet and dry season".COMPUTERS AND ELECTRONICS IN AGRICULTURE 138.2017(2017):105-116. |
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