Two decades of research with the GreenLab model in agronomy

doi:10.1093/aob/mcaa172

CORC > 自动化研究所 > 中国科学院自动化研究所 > 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

	Two decades of research with the GreenLab model in agronomy
	de Reffye, Philippe 4,5; Hu, Baogang 1; Kang, Mengzhen 3; Letort, Veronique 2; Jaeger, Marc 4,5
刊名	ANNALS OF BOTANY
	2021-02-16
卷号	127 期号:3 页码:281-295
关键词	FSPM stochastic functional-structural plant model organic series organ cohorts source and sink organs
ISSN号	0305-7364
DOI	10.1093/aob/mcaa172
通讯作者	Jaeger, Marc(marc.jaeger@cirad.fr)
英文摘要	Background With up to 200 published contributions, the GreenLab mathematical model of plant growth, developed since 2000 under Sino-French co-operation for agronomic applications, is descended from the structural models developed in the AMAP unit that characterize the development of plants and encompass them in a conceptual mathematical framework. The model also incorporates widely recognized crop model concepts (thermal time, light use efficiency and light interception), adapting them to the level of the individual plant. Scope Such long-term research work calls for an overview at some point. That is the objective of this review paper, which retraces the main history of the model's development and its current status, highlighting three aspects. (1) What are the key features of the GreenLab model? (2) How can the model be a guide for defining relevant measurement strategies and experimental protocols? (3) What kind of applications can such a model address? This last question is answered using case studies as illustrations, and through the Discussion. Conclusions The results obtained over several decades illustrate a key feature of the GreenLab model: owing to its concise mathematical formulation based on the factorization of plant structure, it comes along with dedicated methods and experimental protocols for its parameter estimation, in the deterministic or stochastic cases, at single-plant or population levels. Besides providing a reliable statistical framework, this intense and long-term research effort has provided new insights into the internal trophic regulations of many plant species and new guidelines for genetic improvement or optimization of crop systems.
WOS关键词	RANDOM MATHEMATICAL-MODEL ; COFFEE TREE ROBUSTA ; STRUCTURAL PLANT-MODELS ; STOCHASTIC-MODEL ; CROP MODEL ; GROWTH ; SIMULATION ; ARCHITECTURE ; SYSTEMS ; CONSTRUCTION
WOS研究方向	Plant Sciences
语种	英语
出版者	OXFORD UNIV PRESS
WOS记录号	WOS:000646241600003
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/44678]
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	Jaeger, Marc
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit CASIA NLPR, Beijing, Peoples R China 2.Paris Saclay, Cent Supelec MICS, Paris, France 3.Chinese Acad Sci, Inst Automat, Key Lab Management & Control Complex Syst CASIA L, Beijing, Peoples R China 4.Univ Montpellier, AMAP, CIRAD, CNRS,INRAE,IRD, Montpellier, France 5.CIRAD, UMR AMAP, F-34398 Montpellier, France
推荐引用方式 GB/T 7714	de Reffye, Philippe,Hu, Baogang,Kang, Mengzhen,et al. Two decades of research with the GreenLab model in agronomy[J]. ANNALS OF BOTANY,2021,127(3):281-295.
APA	de Reffye, Philippe,Hu, Baogang,Kang, Mengzhen,Letort, Veronique,&Jaeger, Marc.(2021).Two decades of research with the GreenLab model in agronomy.ANNALS OF BOTANY,127(3),281-295.
MLA	de Reffye, Philippe,et al."Two decades of research with the GreenLab model in agronomy".ANNALS OF BOTANY 127.3(2021):281-295.