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Yield analysis as a function of stochastic plant architecture: Case of Spilanthes acmella in the wet and dry season
Vavitsara, Marie Elodie1; Sabatier, Sylvie2; Kang, MengZhen3,4; Ranarijaona, Hery Lisy Tiana5; de Reffye, Philippe2
Source PublicationCOMPUTERS AND ELECTRONICS IN AGRICULTURE
2017-06-01
Volume138Issue:2017Pages:105-116
SubtypeArticle
AbstractThe 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.
KeywordGreenlab Plant Architecture Source-sink Parameters Model Calibration Stochastic Method Functional-structural Plant Model
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Technology
DOI10.1016/j.compag.2017.04.012
WOS KeywordSTRUCTURAL MODEL GREENLAB ; TREE GROWTH-MODEL ; PARAMETER OPTIMIZATION ; EMERGENT PROPERTIES ; SIMULATION-MODEL ; FIELD VALIDATION ; L-PEACH ; DYNAMICS ; SYSTEMS ; CROP
Indexed BySCI
Language英语
Funding OrganizationMalagasy research grants ; University of Mahajanga ; AMAP (Botany and Computational Plant Architecture)
WOS Research AreaAgriculture ; Computer Science
WOS SubjectAgriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000402360200011
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15121
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.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
Recommended Citation
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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