Functional-structural plant modelling in crop production

被引:0
|
作者
Vos, J. [1 ]
Marcelis, L. F. M. [1 ]
Evers, J. B. [1 ]
机构
[1] Univ Wageningen & Res Ctr, Plant Sci Grp, Wageningen, Netherlands
来源
FUNCTIONAL-STRUCTURAL PLANT MODELLING IN CROP PRODUCTION | 2007年 / 22卷
关键词
D O I
暂无
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
The role acquired by modelling in plant sciences includes integration of knowledge, exploration of the behaviour of the plant system beyond the range of conditions covered experimentally and decision support. The purpose of the model determines its structure. Initially process-based models (PBM) were developed separately from structural (or: architectural or morphological) plant models (SPM). Combining PBMs and SPM into functional-structural plant models (FSPM) or virtual plants has become feasible. This adds a dimension to classical crop growth modelling. FSPM are particularly suited to analyse problems in which the spatial structure of the system is an essential factor contributing to the explanation of the behaviour of the system of study. Examples include intra-specific and interspecific competition phenomena, analyses of mechanisms of physiological response to environmental signals that affect allocation of carbon and nitrogen in the plant, and exploration of alternative, manipulated plant architectures on production of fruits or flowers. Good modelling practice involves different steps in model development. These steps are discussed and include the conceptual modelling, data collection, model implementation, model verification and evaluation, sensitivity analysis and scenario studies.
引用
收藏
页码:1 / 12
页数:12
相关论文
共 50 条
  • [31] Predicting the effects of environment and management on cotton fibre growth and quality: a functional-structural plant modelling approach
    Wang, Xuejiao
    Zhang, Lizhen
    Evers, Jochem B.
    Mao, Lili
    Wei, Shoujun
    Pan, Xuebiao
    Zhao, Xinhua
    van der Werf, Wopke
    Li, Zhaohu
    AOB PLANTS, 2014, 6
  • [32] SUNLAB: A functional-structural model for genotypic and phenotypic characterization of the sunflower crop
    Kang, Fenni
    Cournede, Paul-Henry
    Lecoeur, Jeremie
    Letort, Veronique
    ECOLOGICAL MODELLING, 2014, 290 : 21 - 33
  • [33] Elucidating the interaction between light competition and herbivore feeding patterns using functional-structural plant modelling
    de Vries, Jorad
    Poelman, Erik H.
    Anten, Niels
    Evers, Jochem B.
    ANNALS OF BOTANY, 2018, 121 (05) : 1019 - 1031
  • [34] Fitting a functional-structural growth model with plant architectural data
    Zhan, ZG
    De Reffye, P
    Houllier, F
    Hu, BG
    PLANT GROWTH MODELING AND APPLICATIONS, PROCEEDINGS, 2003, : 236 - 249
  • [35] Study on plant growth behaviors simulated by the functional-structural plant model - GreenLab
    Yan, HP
    De Reffye, P
    Leroux, J
    Hu, BG
    PLANT GROWTH MODELING AND APPLICATIONS, PROCEEDINGS, 2003, : 118 - 125
  • [36] GreenLab: A new methodology towards plant functional-structural model - Structural aspect
    Hu, BG
    De Reffye, P
    Zhao, X
    Yan, HP
    Kang, MZ
    PLANT GROWTH MODELING AND APPLICATIONS, PROCEEDINGS, 2003, : 21 - 35
  • [37] Two decades of functional-structural plant modelling: now addressing fundamental questions in systems biology and predictive ecology
    Louarn, Gaetan
    Song, Youhong
    ANNALS OF BOTANY, 2020, 126 (04) : 501 - 509
  • [38] Functional-Structural Plant Model "GreenLab": A State-of-the-Art Review
    Wang, Xiujuan
    Hua, Jing
    Kang, Mengzhen
    Wang, Haoyu
    de Reffye, Philippe
    PLANT PHENOMICS, 2024, 6
  • [39] Modelling leaf spectral properties in a soybean functional-structural plant model by integrating the prospect radiative transfer model
    Coussement, Jonas
    Henke, Michael
    Lootens, Peter
    Roldan-Ruiz, Isabel
    Steppe, Kathy
    De Swaef, Tom
    ANNALS OF BOTANY, 2018, 122 (04) : 669 - 676
  • [40] Functional-structural plant modelling using a combination of architectural analysis, L-systems and a canonical model of function
    Renton, M
    Kaitaniemi, P
    Hanan, J
    ECOLOGICAL MODELLING, 2005, 184 (2-4) : 277 - 298