{"title":"The study of the stand simulation based on the spatial structure","authors":"Yilong Kuang, Huaiqing Zhang, Junshan Tan, Xian Jiang, Kang-ning Lu, Ning Zhang","doi":"10.1109/PMA.2012.6524834","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524834","url":null,"abstract":"Through the research of the stand simulation methods, there is a lack of common mechanism in the simulation rules. These methods do not use the stand structure as rules of the simulations and most of them depend on the qualitative simulation instead of the quantitative simulation. Mainly through manually setting and cannot simulated for mixed stand, these methods lack of rationality, authenticity, universality. This study presents a simulation method based on the spatial structure of the stand, quantifies forest structure indicators simulation stands for forestry research work and provides management of simulation data sources.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124776303","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}
Tongxin Shi, Yuntao Ma, Jie Wu, Xiang Li, Yan Guo, Zhaoli Xu, Yan Jin, Yuhong Yang
{"title":"Quantification of light absorption and photosynthesis of tobacco canopy using 3-D modeling","authors":"Tongxin Shi, Yuntao Ma, Jie Wu, Xiang Li, Yan Guo, Zhaoli Xu, Yan Jin, Yuhong Yang","doi":"10.1109/PMA.2012.6524855","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524855","url":null,"abstract":"Plant architecture is one of the determinants on canopy light absorption and photosynthesis. The quantification of architecture is rather difficult for some specific crops, i.e. tobacco. In this study, a field experiment was carried out to study the architecture of two tobacco cultivars (Y87 and K326) in situ by the combination of 3-D laser scanning and digitizing methods at the squaring stage. Static 3-D model of tobacco plant was built based on leaf surface geometry (collected by 3-D scanning) and leaf outline (obtained by digitizing in situ). The parameters describing plant architecture were derived and light absorption and potential photosynthesis of individual leaves as well as plants were calculated utilizing 3-D modeling. The validation results indicated that the canopy light distribution can be computed rather accurately comparing with the field measurements. Simulation results showed light absorption and potential photosynthesis of Y87 were lower than those of K326, partly because the leaf area of individual Y87 plants was smaller than that of K326.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114138421","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}
Audrey Lebon, Y. Dumont, F. Grognard, L. Mailleret
{"title":"Modelling plant compensatory effects in plant-insects dynamics","authors":"Audrey Lebon, Y. Dumont, F. Grognard, L. Mailleret","doi":"10.1109/PMA.2012.6524836","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524836","url":null,"abstract":"Modelling plant-pest interactions is not an obvious task since the involved processes are numerous and complex. We propose a minimal model based on trophic relations and the concept of plant compensation capacity. We only consider three main components in our system: the plant foliar biomass, the compensation capacity, and the pest population. We prove that there exist two threshold parameters, N1 and N2, and show that the system admits different equilibria, which are locally asymptotically stable or unstable, depending on the value of the previous threshold parameters. Finally, we summarize our theoretical results in a bifurcation diagram that allows to discuss possible control strategies to lower the impacts of the pest or even to obtain a better biomass yield.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122299323","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}
Giuliano Vitali, E. Magnanini, N. Mennucci, E. Denti
{"title":"VPN - Client-server object-oriented virtual plant modeling tool","authors":"Giuliano Vitali, E. Magnanini, N. Mennucci, E. Denti","doi":"10.1109/PMA.2012.6524865","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524865","url":null,"abstract":"Functional Structural Plant Modeling (FSPM) studies the interaction between plant and environment including architectural and morphological features. VPN (Virtual Plant on the Net) has been developed to analyze the benefits of having a plant simulation model (Virtual Plant Engine,VPE) apart from a graphic client (Virtual Plant Interface,VPI). VPI use Java3D to render the plant in a virtual scene where the skeleton of simulated plants is enriched of VRML-2 features. VPI also allows the user to interact actively with the plant cutting elements and see it re-grown from VPE. Both VPI and VPE have an OO approach to represent and model a wide range of plant.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129048953","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}
Fuyan Hu, Xingming Zhao, Luonan Chen, Kun He, Le Lu, Yongwei Cao, Jingdong Liu
{"title":"Identifying rice arsenic stress response pathways based on molecular interaction network","authors":"Fuyan Hu, Xingming Zhao, Luonan Chen, Kun He, Le Lu, Yongwei Cao, Jingdong Liu","doi":"10.1109/PMA.2012.6524828","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524828","url":null,"abstract":"With the development of industrial technology, human beings are suffering from the pollution of heavy metals. Arsenic is a trace element of toxin, which has become a potential threat to rice that assimilates arsenic. Identifying the signaling pathways induced by arsenate stress in rice can help us understand how arsenic affects the biological systems of rice. In this article, based on rice molecular interaction network, we identified the signaling pathways induced by arsenic in rice with a computational approach. Functional enrichment analysis indicates that the predicted signaling pathway is related to arsenate stress in rice.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130301508","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}
{"title":"3D tree modeling using motion capture","authors":"J. Long, Michael D. Jones","doi":"10.1109/PMA.2012.6524841","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524841","url":null,"abstract":"Recovering tree shape from motion capture data is a first step toward efficient and accurate animation of trees in wind using motion capture data. Existing algorithms for generating models of tree branching structures for image synthesis in computer graphics are not adapted to the unique data set provided by motion capture. We present a method for tree shape reconstruction using particle flow on input data obtained from a passive optical motion capture system. Data is collected using adhesive retroreflective markers are distributed on a subset of the branch tips for trees with height less than 2.5 meters. Initial branch tip positions are estimated from averaged and smoothed motion capture data enriched with additional branch tips added to the model. Simplified particle flow starting at branch tips within a vertical stack of bounding volumes creates tree branches. The resulting shapes are realistic and similar to the original tree crown shape. Several tunable parameters provide control over branch shape and arrangement.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116214060","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}
{"title":"Modelling variations in individual plant productivity within a stand: Comparison of top-down and bottom-up approaches in an alfalfa crop","authors":"L. Gaetan, F. Ela, C. Didier, E. Abraham","doi":"10.1109/PMA.2012.6524843","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524843","url":null,"abstract":"Modelling individual variations in plant productivity and resource-dependent mortality is a key issue in population dynamic models. The present study examined two classical approaches to account for plant productivity in functional-structural plant models (i.e. the up-scaling of a leaf photosynthesis model, and the down-scaling of a canopy production model) and compares them in their ability to account for the size-structure of a population of alfalfa plants competing for light. The two models differed mainly in their formulation of the plant carbon balance. Only the leaf approach included a respiration sub-model and was able to predict self-thinning and changes in radiation use efficiency among plants. Variations in plant mass were however mainly explained by differences in light interception. The two models behaved quite well to simulate the mass distribution of surviving plants, the leaf model being clearly more difficult to calibrate.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115497507","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}
Lifeng Xu, Weilong Ding, Jun Zhu, M. Henke, W. Kurth, G. Buck-Sorlin
{"title":"Simulating superior genotypes for plant height based on QTLs: Towards virtual breeding of rice","authors":"Lifeng Xu, Weilong Ding, Jun Zhu, M. Henke, W. Kurth, G. Buck-Sorlin","doi":"10.1109/PMA.2012.6524871","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524871","url":null,"abstract":"Crop plant researchers and agronomists have in the recent past increasingly turned to crop modeling as a promising tool for the integration and exploration of experimental data from breeding and agronomy. Set up suitably, crop modeling can then also be used to predict performance of future high-yielding cultivars, e.g. of rice, which is one of the major food crops worldwide. Questions such as “Which combination of alleles is likely to have the strongest influence on the development of the individual phenotype?” or “In which way is QTL action modified by a particular environment?” can be tackled with the help of a crop modeling approach. As a further extension of a previously established Functional-Structural Plant model (FSPM) of rice we present here simulated “virtual” reproduction of individuals using QTL information, which can contribute to providing answers to these difficult questions. In this study, we briefly describe the way QTL information has been integrated into the rice model, and sketch the algorithmic implementation of processes leading to the creation of filial genotypes from parental genotypes via simulated sexual reproduction. The phenotype value, which in this case was plant height, was determined with the rules that specify the genetic processes operating on genotypes as intrinsic properties of each individual. The mapping results from the simulated population were compared with the input values for the parental lines. It is shown that the rice model faithfully reflected the genetic properties from the parental lines with low bias, which suggests a reasonable way to integrate QTLs into the plant eco-physiological model with the predictive properties. It could in the future be used as a supporting tool in breeding practice.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129497931","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}
{"title":"A model of canopy photosynthesis in rice that combines sub-models of 3D plant architecture, radiation transfer, leaf energy balance and C3 photosynthesis","authors":"Qingfeng Song, Xinguang Zhu","doi":"10.1109/PMA.2012.6524858","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524858","url":null,"abstract":"Canopy photosynthetic CO2 uptake rate, instead of leaf photosynthetic CO2 assimilation rate, correlates with biomass production. We aim to develop a fully integrated model of canopy photosynthesis, which includes not only the prediction of the microclimates inside a canopy but also the related biophysical and biochemical processes in a leaf. Here we report our current status of the model of canopy photosynthesis, which includes the plant architecture, a ray-tracing algorithm, leaf energy balance and leaf level photosynthesis. The details of the modules involved in the model are described in this article. We also demonstrated its application by simulating a diurnal canopy photosynthesis rates.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125987987","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}
{"title":"Modeling the spread of a pathogen over a spatially heterogeneous growing crop","authors":"J. Burie, M. Langlais, A. Calonnec, Y. Mammeri","doi":"10.1109/PMA.2012.6524815","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524815","url":null,"abstract":"The spread of a pathogen within an anthropized crop plot depends on many factors acting at contrasted spatio-temporal scales. This is of paramount importance for vine and powdery mildew, one of its airborne pathogen. We aimed at developing a coupled PDEs-ODEs model for plant-pathogen interactions at the plot scale level in order to assess the effects of various host heterogeneities on the epidemic spread.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132385185","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}