Yield analysis as a function of stochastic plant architecture: Case of Spilanthes acmella in the wet and dry season

doi:10.1016/j.compag.2017.04.012

	Yield analysis as a function of stochastic plant architecture: Case of Spilanthes acmella in the wet and dry season
	Vavitsara, Marie Elodie 1; Sabatier, Sylvie 2; Kang, MengZhen3,4 ; Ranarijaona, Hery Lisy Tiana 5; de Reffye, Philippe 2
发表期刊	COMPUTERS AND ELECTRONICS IN AGRICULTURE
	2017-06-01
卷号	138 期号:2017 页码:105-116
文章类型	Article
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.
关键词	Greenlab Plant Architecture Source-sink Parameters Model Calibration Stochastic Method Functional-structural Plant Model
WOS标题词	Science & Technology ; Life Sciences & Biomedicine ; Technology
DOI	10.1016/j.compag.2017.04.012
关键词[WOS]	STRUCTURAL MODEL GREENLAB ; TREE GROWTH-MODEL ; PARAMETER OPTIMIZATION ; EMERGENT PROPERTIES ; SIMULATION-MODEL ; FIELD VALIDATION ; L-PEACH ; DYNAMICS ; SYSTEMS ; CROP
收录类别	SCI
语种	英语
项目资助者	Malagasy research grants ; University of Mahajanga ; AMAP (Botany and Computational Plant Architecture)
WOS研究方向	Agriculture ; Computer Science
WOS类目	Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000402360200011
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/15121
专题	多模态人工智能系统全国重点实验室_多媒体计算
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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