Pub Date : 2018-11-01DOI: 10.1109/PMA.2018.8611628
P. de Reffye, M. Jaeger, S. Sabatier, V. Letort
The complex interaction loops between organogenesis, assimilate production and partitioning are a crucial core component of most functional-structural plant growth model; yet these three processes are seldom fully coupled and there is no consensus on how it should be done. In this context, the use of the internal trophic pressure as a regulating variable of the development processes is an option that has attracted increasing interest in recent years. Generalizing this approach is however hampered by the fact that it is a non-measurable quantity that can be only assessed through model parametric estimation, for which the methodology is not straightforward, especially when the model is stochastic.In this paper, our objectives are (i) to present a stochastic GreenLab model of plant growth (named ‘GL4’) with feedback effect of plant functioning, represented by the ratio of biomass supply to demand, on organogenesis, (ii) to illustrate some of the model properties on a virtual plant featuring the Roux architectural model, and (iii) to present the methodology for its parameter estimation and (iv) its application to two virtual test-cases. Such virtual fitting exercise allows a better understanding of the procedure as well as it thorough evaluation: it is therefore a prerequisite to any future application to real plants
{"title":"Modelling the interaction between functioning and organogenesis in a stochastic plant growth model : Methodology for parameter estimation and illustration","authors":"P. de Reffye, M. Jaeger, S. Sabatier, V. Letort","doi":"10.1109/PMA.2018.8611628","DOIUrl":"https://doi.org/10.1109/PMA.2018.8611628","url":null,"abstract":"The complex interaction loops between organogenesis, assimilate production and partitioning are a crucial core component of most functional-structural plant growth model; yet these three processes are seldom fully coupled and there is no consensus on how it should be done. In this context, the use of the internal trophic pressure as a regulating variable of the development processes is an option that has attracted increasing interest in recent years. Generalizing this approach is however hampered by the fact that it is a non-measurable quantity that can be only assessed through model parametric estimation, for which the methodology is not straightforward, especially when the model is stochastic.In this paper, our objectives are (i) to present a stochastic GreenLab model of plant growth (named ‘GL4’) with feedback effect of plant functioning, represented by the ratio of biomass supply to demand, on organogenesis, (ii) to illustrate some of the model properties on a virtual plant featuring the Roux architectural model, and (iii) to present the methodology for its parameter estimation and (iv) its application to two virtual test-cases. Such virtual fitting exercise allows a better understanding of the procedure as well as it thorough evaluation: it is therefore a prerequisite to any future application to real plants","PeriodicalId":268842,"journal":{"name":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127395525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/PMA.2018.8611567
Combes Didier, R. Quentin, B. Romain, E. Abraham, G. Louarn, J. Durand, Frak Elzbieta
The objective of this study was to assess the variation of the red to far-red ratio due to the scattering of light by two plant species pea and wheat. Virtual sensors were used in different direction to estimate filtered and reflected light within the canopy. Our results showed that in most crop arrangement the difference of structure between the two species provides different values of red to far-red ratio. In the south direction, there is no effect of the structure on the red to far-red ratio.
{"title":"Influence of Neighboring Plants on the Variation of Red to Far-Red ratio in Intercropping System: Simulation of light quality","authors":"Combes Didier, R. Quentin, B. Romain, E. Abraham, G. Louarn, J. Durand, Frak Elzbieta","doi":"10.1109/PMA.2018.8611567","DOIUrl":"https://doi.org/10.1109/PMA.2018.8611567","url":null,"abstract":"The objective of this study was to assess the variation of the red to far-red ratio due to the scattering of light by two plant species pea and wheat. Virtual sensors were used in different direction to estimate filtered and reflected light within the canopy. Our results showed that in most crop arrangement the difference of structure between the two species provides different values of red to far-red ratio. In the south direction, there is no effect of the structure on the red to far-red ratio.","PeriodicalId":268842,"journal":{"name":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121356402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/PMA.2018.8611569
T. Vidal, C. Dillmann, B. Andrieu
The development of plant FSPMs requires to define how phytomers extend and reach their mature size. Both the rate and duration of organ extension are impacted by environmental conditions. However, the second point is rarely considered in plant growth models. Our work relied on an existing model based on the formalisation of coordination rules for maize, which allows flexibility in plant growth timing. However, the validation of this model was based up to now on a single experiment with one genotype, and did not include a direct evaluation of the coordination rules. The objective of the present work was to get a deeper view of the ability of modelling approaches based on coordination rules to simulate shoot development in maize. First we assessed the validity of coordination rules for two genotypes with contrasted number of leaves and grown in contrasted environments. Second we adjusted the model on both genotypes. Some formalisms were adapted to best represent both genotypes. Finally, our results show that a same set of coordination rules could represent precisely the development of maize genotypes of contrasted architectures. This bring support to the idea that coordination rules could be used in FSPM models as an alternative to a fixed thermal time schedule.
{"title":"A coordination model captures the dynamics of organ extension in contrasted maize phenotypes","authors":"T. Vidal, C. Dillmann, B. Andrieu","doi":"10.1109/PMA.2018.8611569","DOIUrl":"https://doi.org/10.1109/PMA.2018.8611569","url":null,"abstract":"The development of plant FSPMs requires to define how phytomers extend and reach their mature size. Both the rate and duration of organ extension are impacted by environmental conditions. However, the second point is rarely considered in plant growth models. Our work relied on an existing model based on the formalisation of coordination rules for maize, which allows flexibility in plant growth timing. However, the validation of this model was based up to now on a single experiment with one genotype, and did not include a direct evaluation of the coordination rules. The objective of the present work was to get a deeper view of the ability of modelling approaches based on coordination rules to simulate shoot development in maize. First we assessed the validity of coordination rules for two genotypes with contrasted number of leaves and grown in contrasted environments. Second we adjusted the model on both genotypes. Some formalisms were adapted to best represent both genotypes. Finally, our results show that a same set of coordination rules could represent precisely the development of maize genotypes of contrasted architectures. This bring support to the idea that coordination rules could be used in FSPM models as an alternative to a fixed thermal time schedule.","PeriodicalId":268842,"journal":{"name":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123933349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A model has been developed to quantify the organogenesis, structural dynamics, biomass production and allocation for alfalfa with shoots and roots. The basic units of development and growth were defined and symbolized into the Markov’s states with a set of parameters describing the functions of the units. The Markov chain model was employed to describe the organogenesis and the topological structure controlled by the phenological schedules expressed by thermal time (°C•d). The biomass produced by the photosynthetic organs using the Gaussian integration method was allocated to each organ in terms of relative demand and its kinetical process expressed by uniformization expansion rate. And the geometry magnitude of each organ was calculated by the allometric relationships among dry biomass and geometry for each type organ over time. The model was parameterized and calibrated by two different experiments. The model successfully mimiced plant growth and development from structure and function and the comparisons among measured and simulated values were conducted for root and shoot system. The results show that the both had a good consistency and similar change trends. Finally, we discuss some problems and future research and application of the model.
{"title":"A functional-structural model for alfalfa that accurately integrates shoot and root growth and development","authors":"Wuping Zhang, Guofang Wang, Jiwan Han, Fuzhong Li, Qian Zhang, J. Doonan","doi":"10.1109/PMA.2018.8611587","DOIUrl":"https://doi.org/10.1109/PMA.2018.8611587","url":null,"abstract":"A model has been developed to quantify the organogenesis, structural dynamics, biomass production and allocation for alfalfa with shoots and roots. The basic units of development and growth were defined and symbolized into the Markov’s states with a set of parameters describing the functions of the units. The Markov chain model was employed to describe the organogenesis and the topological structure controlled by the phenological schedules expressed by thermal time (°C•d). The biomass produced by the photosynthetic organs using the Gaussian integration method was allocated to each organ in terms of relative demand and its kinetical process expressed by uniformization expansion rate. And the geometry magnitude of each organ was calculated by the allometric relationships among dry biomass and geometry for each type organ over time. The model was parameterized and calibrated by two different experiments. The model successfully mimiced plant growth and development from structure and function and the comparisons among measured and simulated values were conducted for root and shoot system. The results show that the both had a good consistency and similar change trends. Finally, we discuss some problems and future research and application of the model.","PeriodicalId":268842,"journal":{"name":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124318945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/PMA.2018.8611561
J. Merklein, Magalie Poirier-Pocovi, G. Buck-Sorlin, W. Kurth, Qinqin Long
We present here the framework for a Functional-structural plant model (FSPM) of the water and sugar transport in an apple (Malus domestica (L.) Bartsch.) branch. The model is parameterized at the spatial level of the organ (leaf blade, leaf petiole; internode; fruit, and fruit peduncle), explicitly describing water and sugar flows between all possible organ combinations. In order to do so, an object-oriented representation of each organ was introduced, containing the functional description of xylem and phloem elements within the respective organs, and between each organ pair, using the dedicated modelling platform GroIMP. The geometry and topology of the branch and its elements were based on measurements of ‘Fuji’ cv. apple trees, located in an experimental orchard in Angers, France, whereas the coefficients of the transport model system were derived from the literature. Branch architecture is an input to the model therefore not supposed to change during the simulated period (June to September). First results are promising: 1) a fully functional, quantitative simulation of water flux based on biophysical principles (leaf transpiration coupled to photosynthesis rate and stomatal conductance) is driving the water transport from the base of the branch to the peripheral organs (leaves) according to the Darcy flow principle. At the same time sugars are transported from sources (leaves) to sinks (fruits) based on Münch flow in the phloem. Such a simulation is possible in real time (temporal resolution one second); 2) even for extreme situations the network of xylem and phloem with its numerous interconnections shows reasonable and stable behaviour.
{"title":"A dynamic model of xylem and phloem flux in an apple branch","authors":"J. Merklein, Magalie Poirier-Pocovi, G. Buck-Sorlin, W. Kurth, Qinqin Long","doi":"10.1109/PMA.2018.8611561","DOIUrl":"https://doi.org/10.1109/PMA.2018.8611561","url":null,"abstract":"We present here the framework for a Functional-structural plant model (FSPM) of the water and sugar transport in an apple (Malus domestica (L.) Bartsch.) branch. The model is parameterized at the spatial level of the organ (leaf blade, leaf petiole; internode; fruit, and fruit peduncle), explicitly describing water and sugar flows between all possible organ combinations. In order to do so, an object-oriented representation of each organ was introduced, containing the functional description of xylem and phloem elements within the respective organs, and between each organ pair, using the dedicated modelling platform GroIMP. The geometry and topology of the branch and its elements were based on measurements of ‘Fuji’ cv. apple trees, located in an experimental orchard in Angers, France, whereas the coefficients of the transport model system were derived from the literature. Branch architecture is an input to the model therefore not supposed to change during the simulated period (June to September). First results are promising: 1) a fully functional, quantitative simulation of water flux based on biophysical principles (leaf transpiration coupled to photosynthesis rate and stomatal conductance) is driving the water transport from the base of the branch to the peripheral organs (leaves) according to the Darcy flow principle. At the same time sugars are transported from sources (leaves) to sinks (fruits) based on Münch flow in the phloem. Such a simulation is possible in real time (temporal resolution one second); 2) even for extreme situations the network of xylem and phloem with its numerous interconnections shows reasonable and stable behaviour.","PeriodicalId":268842,"journal":{"name":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116810693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/PMA.2018.8611598
T. Hitz, M. Henke, S. Graeff‐Hönninger, Sebastian Munz
Knowledge on the effect of light spectra on different crops is important in the exploration of possibilities to regulate crop growth and quality with LED lighting. Functional structural plant modelling can be an important tool to cope with the large number of experimental treatments necessary to identify the effect of specific wavelengths and the interaction with other environmental factors. Therefore, the objectives were to create a virtual environment that can simulate light intensity and spectrum within a soybean canopy grown within an LED growth chamber. Measurements were made at two dates, on two plant sets and at two placements. Simulated light intensities were accurate with a R2 between 0.798 and 0.956; mean absolute percentage errors between 5.85 and 35.14 % and simulated change in light spectrum below the canopy changed similar to the measurements. The chosen GPUFlux model in GroIMP can be used for functional structural plant modelling in response to light spectra and intensity and to explore an optimal experimental design within an LED chamber.
{"title":"Simulating light spectrum within a soybean canopy in an LED growth chamber","authors":"T. Hitz, M. Henke, S. Graeff‐Hönninger, Sebastian Munz","doi":"10.1109/PMA.2018.8611598","DOIUrl":"https://doi.org/10.1109/PMA.2018.8611598","url":null,"abstract":"Knowledge on the effect of light spectra on different crops is important in the exploration of possibilities to regulate crop growth and quality with LED lighting. Functional structural plant modelling can be an important tool to cope with the large number of experimental treatments necessary to identify the effect of specific wavelengths and the interaction with other environmental factors. Therefore, the objectives were to create a virtual environment that can simulate light intensity and spectrum within a soybean canopy grown within an LED growth chamber. Measurements were made at two dates, on two plant sets and at two placements. Simulated light intensities were accurate with a R2 between 0.798 and 0.956; mean absolute percentage errors between 5.85 and 35.14 % and simulated change in light spectrum below the canopy changed similar to the measurements. The chosen GPUFlux model in GroIMP can be used for functional structural plant modelling in response to light spectra and intensity and to explore an optimal experimental design within an LED chamber.","PeriodicalId":268842,"journal":{"name":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117335129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/PMA.2018.8611608
M. Jaeger, S. Sabatier, P. Borianne, P. de Reffye, Y. Gang, V. Letort, X.P. Zhang, M. Kang
In the past decade, with the power of graphical boards, visualization of virtual natural scene become popular in multimedia applications. It usually relies on degraded virtual single plant geometrical representations and massive use of textures. Such scenes show however poor variability in terms of the number of species and individual plasticity. They also show strong animation constraints, many limited to viewpoint moves, ignoring growth processes. We propose here a frame for future works related to virtual plant visualization. It aims to drop down the classical geometrical descriptions of individual plants for the benefits of functional representations, aggregated up to a single crown. We then show that a wide range of parametric virtual crown shapes can be built from the knowledge of leaf area. Moreover, production outputs computed at each simulation time step by crop models or FSPM models define strong constraints in the organ positioning. Such constraints can be used to build hierarchical virtual geometries underlying the plant main axis and its crown decomposition according to its axis typology. Conversely, similar representations can also be generated from an exhaustive representation of virtual or real trees. On such plants, we first build a point cloud from the organ 3D coordinates. A statistical hierarchical dynamic clustering analysis can then be applied to the leaf cloud. It allows obtaining the statistical ellipsoid decomposition that can then be used for comparisons or shape fitting optimization. We finally introduce some technical elements showing that basic 3D shapes used for functional visualization (cone frustum and ellipsoids) can be fully generated and rendered by GPU techniques. As a summary, simulated plant functional visualization appears as a promising research track, freeing models from complex and costly geometrical computations. These representations also propose a new frame of discussions on tree crown modeling and descriptions for diagnosis purposes.
{"title":"Data visualization for vegetal landscapes: Building 3D representations of organ biomass compartments: How plant production could constrain 3D lollypop-like representations","authors":"M. Jaeger, S. Sabatier, P. Borianne, P. de Reffye, Y. Gang, V. Letort, X.P. Zhang, M. Kang","doi":"10.1109/PMA.2018.8611608","DOIUrl":"https://doi.org/10.1109/PMA.2018.8611608","url":null,"abstract":"In the past decade, with the power of graphical boards, visualization of virtual natural scene become popular in multimedia applications. It usually relies on degraded virtual single plant geometrical representations and massive use of textures. Such scenes show however poor variability in terms of the number of species and individual plasticity. They also show strong animation constraints, many limited to viewpoint moves, ignoring growth processes. We propose here a frame for future works related to virtual plant visualization. It aims to drop down the classical geometrical descriptions of individual plants for the benefits of functional representations, aggregated up to a single crown. We then show that a wide range of parametric virtual crown shapes can be built from the knowledge of leaf area. Moreover, production outputs computed at each simulation time step by crop models or FSPM models define strong constraints in the organ positioning. Such constraints can be used to build hierarchical virtual geometries underlying the plant main axis and its crown decomposition according to its axis typology. Conversely, similar representations can also be generated from an exhaustive representation of virtual or real trees. On such plants, we first build a point cloud from the organ 3D coordinates. A statistical hierarchical dynamic clustering analysis can then be applied to the leaf cloud. It allows obtaining the statistical ellipsoid decomposition that can then be used for comparisons or shape fitting optimization. We finally introduce some technical elements showing that basic 3D shapes used for functional visualization (cone frustum and ellipsoids) can be fully generated and rendered by GPU techniques. As a summary, simulated plant functional visualization appears as a promising research track, freeing models from complex and costly geometrical computations. These representations also propose a new frame of discussions on tree crown modeling and descriptions for diagnosis purposes.","PeriodicalId":268842,"journal":{"name":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128326476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Characteriation of maize (Zea mays L.) canopy development over various plant population densities (PPD) is necessary for constructing a model with account for the effect of interplant competition for crop productivity. In this study, a field experiment was conducted at Mengcheng to investigate the effects of increased plant density on maize canopy morphological development with a particular focus on parameterisation of organ developmental response to increased plant density in maize. The field experiment was composed of five plant densities i.e. 4.5, 6, 7.5, 9 and 20 plants m−2 (referred to as PD4.5, PD6, PD7.5, PD9 and PD15 respectively) with three replicates. Measurement of canopy morphology was taken by destructive sampling every 3-5 days. Organ developmental response to increased plant density in maize was characterised with the linear functions. The parameters for the response were obtained, which varied with phytomer position. The findings and parameters will be integrated into ADEL-Maize, allowing predicting increased interplant competition on canopy development and light interception.
{"title":"Analysis of organ developmental response to increased plant density: Parameterisation for ADEL-Maize","authors":"Liang He, Jiaxin Li, Shousheng Han, Huihui Liu, Yulei Zhu, Jincai Li, Youhong Song, Liqi Han","doi":"10.1109/PMA.2018.8611572","DOIUrl":"https://doi.org/10.1109/PMA.2018.8611572","url":null,"abstract":"Characteriation of maize (Zea mays L.) canopy development over various plant population densities (PPD) is necessary for constructing a model with account for the effect of interplant competition for crop productivity. In this study, a field experiment was conducted at Mengcheng to investigate the effects of increased plant density on maize canopy morphological development with a particular focus on parameterisation of organ developmental response to increased plant density in maize. The field experiment was composed of five plant densities i.e. 4.5, 6, 7.5, 9 and 20 plants m−2 (referred to as PD4.5, PD6, PD7.5, PD9 and PD15 respectively) with three replicates. Measurement of canopy morphology was taken by destructive sampling every 3-5 days. Organ developmental response to increased plant density in maize was characterised with the linear functions. The parameters for the response were obtained, which varied with phytomer position. The findings and parameters will be integrated into ADEL-Maize, allowing predicting increased interplant competition on canopy development and light interception.","PeriodicalId":268842,"journal":{"name":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127741800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/PMA.2018.8611594
Couturier Arthur, Combes Didier, B. Romain, E. Abraham, L. Gaetan
The L-grass model is a functional-structural model simulating the morphogenesis of perennial grasses above- and belowground. However, due to the high plant density in grasslands and the great number of phytomers and organs to consider over the years, its running time follows a sub-exponential function of the number of iterations. The objective of this study was to build a meta-model of the tiller architectural characteristics (namely the rate of phytomer production and the final dimensions of leaves) able to account for a wide range of genotypes, light competition regimes and management practices (i.e. response to defoliation), while presenting reduced simulation time. Two meta-modelling strategies were compared. The first consisted in "direct" empirical relationships between input parameters and output variables. The second consisted in building a series of "nested" relationships based on intermediate variables that mimicked the L-grass functioning to regulate grass morphogenesis. Our results showed that both strategies were able to accurately reproduce L-grass simulations for independent series of datasets in absence of defoliation (i.e. genotype and light competition effects). However, only the "nested" meta-modelling approach was able to account for the plastic plant response induced by defoliation in terms of leaf size and phyllochron.
{"title":"Comparison of meta-modelling approaches to account for tiller growth and development simulated by the L-grass functional-structural plant model","authors":"Couturier Arthur, Combes Didier, B. Romain, E. Abraham, L. Gaetan","doi":"10.1109/PMA.2018.8611594","DOIUrl":"https://doi.org/10.1109/PMA.2018.8611594","url":null,"abstract":"The L-grass model is a functional-structural model simulating the morphogenesis of perennial grasses above- and belowground. However, due to the high plant density in grasslands and the great number of phytomers and organs to consider over the years, its running time follows a sub-exponential function of the number of iterations. The objective of this study was to build a meta-model of the tiller architectural characteristics (namely the rate of phytomer production and the final dimensions of leaves) able to account for a wide range of genotypes, light competition regimes and management practices (i.e. response to defoliation), while presenting reduced simulation time. Two meta-modelling strategies were compared. The first consisted in \"direct\" empirical relationships between input parameters and output variables. The second consisted in building a series of \"nested\" relationships based on intermediate variables that mimicked the L-grass functioning to regulate grass morphogenesis. Our results showed that both strategies were able to accurately reproduce L-grass simulations for independent series of datasets in absence of defoliation (i.e. genotype and light competition effects). However, only the \"nested\" meta-modelling approach was able to account for the plastic plant response induced by defoliation in terms of leaf size and phyllochron.","PeriodicalId":268842,"journal":{"name":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132234818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-11-01DOI: 10.1109/PMA.2018.8611622
Junqi Zhu, G. Gambetta, P. Vivin, N. Ollat, S. Delrot, Z. Dai, M. Génard, G. Vercambre
The growth of a fleshy fruit is greatly affected by the carbon and water status of the parent plant. Here, we developed an integrated functional-structural grapevine (Vitis vinifera L.) model that can simultaneously simulate berry growth and whole-plant carbon and water status based on hourly environmental conditions.The model was tested on fruiting-cutting Cabernet Sauvignon system. It was calibrated and validated with weekly berry dry weight and fresh weight with contrasting leaf number per cluster. The model captured the negative effects of leaf-to-fruit ratio on the rate of water and dry matter accumulation in berries. Furthermore, the model revealed that a greater proportion of carbon was allocated to the berries under the low leaf-to-fruit ratio.This integrated model is a useful tool for predicting and understanding plant and environmental impacts on fleshy fruit growth. However, further work still needs to be done to understand the detail of the berry sugar unloading process, e.g. the relationship between turgor pressure and sugar uptake.
{"title":"Growing grapes on a virtual plant","authors":"Junqi Zhu, G. Gambetta, P. Vivin, N. Ollat, S. Delrot, Z. Dai, M. Génard, G. Vercambre","doi":"10.1109/PMA.2018.8611622","DOIUrl":"https://doi.org/10.1109/PMA.2018.8611622","url":null,"abstract":"The growth of a fleshy fruit is greatly affected by the carbon and water status of the parent plant. Here, we developed an integrated functional-structural grapevine (Vitis vinifera L.) model that can simultaneously simulate berry growth and whole-plant carbon and water status based on hourly environmental conditions.The model was tested on fruiting-cutting Cabernet Sauvignon system. It was calibrated and validated with weekly berry dry weight and fresh weight with contrasting leaf number per cluster. The model captured the negative effects of leaf-to-fruit ratio on the rate of water and dry matter accumulation in berries. Furthermore, the model revealed that a greater proportion of carbon was allocated to the berries under the low leaf-to-fruit ratio.This integrated model is a useful tool for predicting and understanding plant and environmental impacts on fleshy fruit growth. However, further work still needs to be done to understand the detail of the berry sugar unloading process, e.g. the relationship between turgor pressure and sugar uptake.","PeriodicalId":268842,"journal":{"name":"2018 6th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131792866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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