A dynamic, architectural plant model simulating resource-dependent growth
- Background and Aims Physiological and architectural plant models have originally been developed for different purposes and therefore have little in common, thus making combined applications difficult. There is, however, an increasing demand for crop models that simulate the genetic and resource-dependent variability of plant geometry and architecture, because man is increasingly able to transform plant production systems through combined genetic and environmental engineering. - Model GREENLAB is presented, a mathematical plant model that simulates interactions between plant structure and function. Dual-scale automaton is used to simulate plant organogenesis from germination to maturity on the basis of organogenetic growth cycles that have constant thermal time. Plant fresh biomass production is computed from transpiration, assuming transpiration efficiency to be constant and atmospheric demand to be the driving force, under non-limiting water supply. The fresh biomass is then distributed among expanding organs according to their relative demand. Demand for organ growth is estimated from allometric relationships (e.g. leaf surface to weight ratios) and kinetics of potential growth rate for each organ type. These are obtained through parameter optimization against empirical, morphological data sets by running the model in inverted mode. Potential growth rates are then used as estimates of relative sink strength in the model. These and other 'hidden' plant parameters are calibrated using the non-linear, least-square method. - Key Results and Conclusions The model reproduced accurately the dynamics of plant growth, architecture and geometry of various annual and woody plants, enabling 3D visualization. It was also able to simulate the variability of leaf size on the plant and compensatory growth following pruning, as a result of internal competition for resources. The potential of the model's underlying concepts to predict the plant's phenotypic plasticity is discussed.
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dig-cirad-fr-5204932024-01-28T12:33:38Z http://agritrop.cirad.fr/520493/ http://agritrop.cirad.fr/520493/ A dynamic, architectural plant model simulating resource-dependent growth. Yan Hong-Ping, Kang Meng Zhen, De Reffye Philippe, Dingkuhn Michaël. 2004. Annals of Botany, 93 : 591-602.https://doi.org/10.1093/aob/mch078 <https://doi.org/10.1093/aob/mch078> A dynamic, architectural plant model simulating resource-dependent growth Yan, Hong-Ping Kang, Meng Zhen De Reffye, Philippe Dingkuhn, Michaël eng 2004 Annals of Botany U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes modèle mathématique modèle de simulation croissance anatomie végétale port de la plante développement biologique arbre biomasse phénotype organogénèse imagerie application des ordinateurs modélisation http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_5954 http://aims.fao.org/aos/agrovoc/c_5969 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_7887 http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_27791 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_230ab86c - Background and Aims Physiological and architectural plant models have originally been developed for different purposes and therefore have little in common, thus making combined applications difficult. There is, however, an increasing demand for crop models that simulate the genetic and resource-dependent variability of plant geometry and architecture, because man is increasingly able to transform plant production systems through combined genetic and environmental engineering. - Model GREENLAB is presented, a mathematical plant model that simulates interactions between plant structure and function. Dual-scale automaton is used to simulate plant organogenesis from germination to maturity on the basis of organogenetic growth cycles that have constant thermal time. Plant fresh biomass production is computed from transpiration, assuming transpiration efficiency to be constant and atmospheric demand to be the driving force, under non-limiting water supply. The fresh biomass is then distributed among expanding organs according to their relative demand. Demand for organ growth is estimated from allometric relationships (e.g. leaf surface to weight ratios) and kinetics of potential growth rate for each organ type. These are obtained through parameter optimization against empirical, morphological data sets by running the model in inverted mode. Potential growth rates are then used as estimates of relative sink strength in the model. These and other 'hidden' plant parameters are calibrated using the non-linear, least-square method. - Key Results and Conclusions The model reproduced accurately the dynamics of plant growth, architecture and geometry of various annual and woody plants, enabling 3D visualization. It was also able to simulate the variability of leaf size on the plant and compensatory growth following pruning, as a result of internal competition for resources. The potential of the model's underlying concepts to predict the plant's phenotypic plasticity is discussed. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/520493/1/520493.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1093/aob/mch078 10.1093/aob/mch078 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=181874 info:eu-repo/semantics/altIdentifier/doi/10.1093/aob/mch078 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1093/aob/mch078 |
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U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes modèle mathématique modèle de simulation croissance anatomie végétale port de la plante développement biologique arbre biomasse phénotype organogénèse imagerie application des ordinateurs modélisation http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_5954 http://aims.fao.org/aos/agrovoc/c_5969 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_7887 http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_27791 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_230ab86c U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes modèle mathématique modèle de simulation croissance anatomie végétale port de la plante développement biologique arbre biomasse phénotype organogénèse imagerie application des ordinateurs modélisation http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_5954 http://aims.fao.org/aos/agrovoc/c_5969 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_7887 http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_27791 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_230ab86c |
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U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes modèle mathématique modèle de simulation croissance anatomie végétale port de la plante développement biologique arbre biomasse phénotype organogénèse imagerie application des ordinateurs modélisation http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_5954 http://aims.fao.org/aos/agrovoc/c_5969 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_7887 http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_27791 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_230ab86c U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes modèle mathématique modèle de simulation croissance anatomie végétale port de la plante développement biologique arbre biomasse phénotype organogénèse imagerie application des ordinateurs modélisation http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_5954 http://aims.fao.org/aos/agrovoc/c_5969 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_7887 http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_27791 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_230ab86c Yan, Hong-Ping Kang, Meng Zhen De Reffye, Philippe Dingkuhn, Michaël A dynamic, architectural plant model simulating resource-dependent growth |
description |
- Background and Aims Physiological and architectural plant models have originally been developed for different purposes and therefore have little in common, thus making combined applications difficult. There is, however, an increasing demand for crop models that simulate the genetic and resource-dependent variability of plant geometry and architecture, because man is increasingly able to transform plant production systems through combined genetic and environmental engineering. - Model GREENLAB is presented, a mathematical plant model that simulates interactions between plant structure and function. Dual-scale automaton is used to simulate plant organogenesis from germination to maturity on the basis of organogenetic growth cycles that have constant thermal time. Plant fresh biomass production is computed from transpiration, assuming transpiration efficiency to be constant and atmospheric demand to be the driving force, under non-limiting water supply. The fresh biomass is then distributed among expanding organs according to their relative demand. Demand for organ growth is estimated from allometric relationships (e.g. leaf surface to weight ratios) and kinetics of potential growth rate for each organ type. These are obtained through parameter optimization against empirical, morphological data sets by running the model in inverted mode. Potential growth rates are then used as estimates of relative sink strength in the model. These and other 'hidden' plant parameters are calibrated using the non-linear, least-square method. - Key Results and Conclusions The model reproduced accurately the dynamics of plant growth, architecture and geometry of various annual and woody plants, enabling 3D visualization. It was also able to simulate the variability of leaf size on the plant and compensatory growth following pruning, as a result of internal competition for resources. The potential of the model's underlying concepts to predict the plant's phenotypic plasticity is discussed. |
format |
article |
topic_facet |
U10 - Informatique, mathématiques et statistiques F62 - Physiologie végétale - Croissance et développement F50 - Anatomie et morphologie des plantes modèle mathématique modèle de simulation croissance anatomie végétale port de la plante développement biologique arbre biomasse phénotype organogénèse imagerie application des ordinateurs modélisation http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_3394 http://aims.fao.org/aos/agrovoc/c_5954 http://aims.fao.org/aos/agrovoc/c_5969 http://aims.fao.org/aos/agrovoc/c_921 http://aims.fao.org/aos/agrovoc/c_7887 http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_5776 http://aims.fao.org/aos/agrovoc/c_27791 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_24009 http://aims.fao.org/aos/agrovoc/c_230ab86c |
author |
Yan, Hong-Ping Kang, Meng Zhen De Reffye, Philippe Dingkuhn, Michaël |
author_facet |
Yan, Hong-Ping Kang, Meng Zhen De Reffye, Philippe Dingkuhn, Michaël |
author_sort |
Yan, Hong-Ping |
title |
A dynamic, architectural plant model simulating resource-dependent growth |
title_short |
A dynamic, architectural plant model simulating resource-dependent growth |
title_full |
A dynamic, architectural plant model simulating resource-dependent growth |
title_fullStr |
A dynamic, architectural plant model simulating resource-dependent growth |
title_full_unstemmed |
A dynamic, architectural plant model simulating resource-dependent growth |
title_sort |
dynamic, architectural plant model simulating resource-dependent growth |
url |
http://agritrop.cirad.fr/520493/ http://agritrop.cirad.fr/520493/1/520493.pdf |
work_keys_str_mv |
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_version_ |
1792495877770706944 |