2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications最新文献_第6页

Modeling and analyzing the influence of blade shape on rice canopy structure 叶片形状对水稻冠层结构影响的建模与分析

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications Pub Date : 2012-10-01 DOI: 10.1109/PMA.2012.6524839

D. Li, Z. Zhan, Junmin Wang, Liyong Cao

引用次数: 1

Simulation of optimal rooting strategies: What's the best way to find a wet crack? 最优生根策略的模拟:找到湿裂缝的最佳方法是什么?

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications Pub Date : 2012-10-01 DOI: 10.1109/PMA.2012.6524852

M. Renton, P. Poot, J. Evers

{"title":"Simulation of optimal rooting strategies: What's the best way to find a wet crack?","authors":"M. Renton, P. Poot, J. Evers","doi":"10.1109/PMA.2012.6524852","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524852","url":null,"abstract":"Plants evolve ecological strategies to optimally exploit the limited resources available in their environment, such as water. This involves accounting for temporal and spatial patterns in the availability of the resource. Simulation modelling can be used to explore how the optimality of different strategies depends on these patterns, thus giving insight into why different species of plants employ different strategies depending on their local environment, and how these strategies are optimized for the resource availability patterns of their particular environment. This paper describes a computational model that simulates a variety of plant rooting strategies. We first describe some motivating case studies based on plants searching for relativity rare wet cracks in otherwise impermeable rock layers, and how these studies raise some important ecological questions. We then explain how the model has been constructed to be able to represent a wide range of relevant rooting strategies; give some example outputs to illustrate the capabilities of the model; and discuss how the model has been linked with computational optimization algorithms to identify how optimal ecological strategies vary with patterns of resource availability.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"18 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":"125763880","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}

引用次数: 3

Enhancing virtual natural scenes using quick and dirty image based recipes 增强虚拟自然场景使用快速和肮脏的图像为基础的食谱

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications Pub Date : 2012-10-01 DOI: 10.1109/PMA.2012.6524829

M. Jaeger

引用次数: 2

Operator splitting for solving C-Root, a minimalist and continuous model of root system growth 解C-Root的算子分裂，一个极简连续的根系生长模型

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications Pub Date : 2012-10-01 DOI: 10.1109/PMA.2012.6524863

E. Tillier, A. Bonneu

{"title":"Operator splitting for solving C-Root, a minimalist and continuous model of root system growth","authors":"E. Tillier, A. Bonneu","doi":"10.1109/PMA.2012.6524863","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524863","url":null,"abstract":"Root systems are complex structures and it is still a great challenge to model them. There are different types of plant growth models. At one extreme, architecturals models, and at another extreme, density based models. Modeling root system growth with continuous equations is attractive for at least two reasons. First, since the development of roots is defined independently of the number of roots, such models can be used to work at field scale. Secondly, continuous models are formulated with partial differential equations (PDE) and thus are good candidates for coupling with other models like nutrient models or soil models which are of the same nature. Considering this type of applications, it obviously implies that coefficients of the PDE equations are functions of space and time. Thus appropriate numerical schemes should be used to solve and calibrate the models. These schemes has to be stable, accurate and efficient. Bonneu et al ([4]) introduces a continuous and minimalist model, named C-Root, for modeling the root system growth. In this paper, we focus on this model to study different operator splitting approaches for solving it. Some numerical results obtained, for a one-dimensional case, with data about eucalyptus roots are given.","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":"128847593","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}

引用次数: 3

Capturing hormonal and light interactions in a simulation model of shoot branching 在芽枝分枝的模拟模型中捕捉激素和光的相互作用

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications Pub Date : 2012-10-01 DOI: 10.1109/PMA.2012.6524820

J. Evers, A. R. V. D. Krol

{"title":"Capturing hormonal and light interactions in a simulation model of shoot branching","authors":"J. Evers, A. R. V. D. Krol","doi":"10.1109/PMA.2012.6524820","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524820","url":null,"abstract":"Shoot branching, i.e. axillary bud break and subsequent branch outgrowth, is a key determinant of overall aboveground plant form. During plant development, the number of branches formed strongly influences the amount of light absorbed by the plant, and thus the plant's competitive strength in terms of light capture in relation to neighbouring plants. Shoot branching is regulated by genetic and physiological factors such as hormones and assimilates. In turn, these internal factors are modulated by environmental signals such as light intensity, light spectral composition and nutrients. The internal and environmental factors are part of a complex feedback system that operates at several levels of biological organization. Here, we present a modelling approach that captures the interactions between hormones and light in the case of shoot branching. We simulated Arabidopsis individually and in a plot at different ratios of ambient red and far-red light (R:FR). A low R:FR resulted in low branching. The individual plants experienced slightly higher R:FR values and produced more branches as a result, depending on ambient R:FR. The model serves a useful scientific tool to integrate knowledge and to improve experimental approaches on shoot branching.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"69 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":"133924696","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}

引用次数: 1

Rule-based integration of GreenLab into GroIMP with GUI aided parameter input 使用GUI辅助参数输入将GreenLab基于规则集成到GroIMP中

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications Pub Date : 2012-10-01 DOI: 10.1109/PMA.2012.6524856

K. Smolenová, M. Henke, W. Kurth

引用次数: 4

Simulated crop productivity on different soils in Canada 模拟加拿大不同土壤上的作物产量

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications Pub Date : 2012-10-01 DOI: 10.1109/PMA.2012.6524851

B. Qian, Ted Huffman, R. Jong

引用次数: 2

Mathematical analysis of vector-borne diseases on plants 植物病媒传播疾病的数学分析

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications Pub Date : 2012-10-01 DOI: 10.1109/PMA.2012.6524808

R. Anguelov, J. Lubuma, Y. Dumont

引用次数: 13

Crop systems biology as an avenue to bridge applied crop science and fundamental plant biology 作物系统生物学是应用作物科学和基础植物生物学的桥梁

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications Pub Date : 2012-10-01 DOI: 10.1109/PMA.2012.6524806

Xinyou Yin, P. Struik

{"title":"Crop systems biology as an avenue to bridge applied crop science and fundamental plant biology","authors":"Xinyou Yin, P. Struik","doi":"10.1109/PMA.2012.6524806","DOIUrl":"https://doi.org/10.1109/PMA.2012.6524806","url":null,"abstract":"Plant biologists, agronomists and breeders alike have been constantly facing challenges in narrowing genotype-phenotype gaps. Plant systems biology, as first recognized, seems to target those phenotypes at molecular, sub-cellular, or cellular levels. To emphasize the importance of bridging this gap for understanding and directionally modifying phenotypes relevant to the real-world challenges for agriculture, the concept `crop systems biology' seems more appropriate. This new concept acknowledges the complementarity of the roles of modern plant biology, traditional crop physiology and advanced crop modelling in improving yield and resource use efficiencies of major crops. As a first step, biochemical modules of photosynthesis and molecular marker-based quantitative trait locus information were incorporated into existing crop models. These case studies underline that current modelling shows promise in studying complex crop traits. For further progress, crop models should be upgraded based on understandings of complicated phenomena at lower organizational levels. We expect that this crop systems biology approach will ultimately be instrumental in realizing the expected roles of in silico modelling in narrowing genotype-crop phenotype gaps, and in understanding genotype-by-environment interactions at crop level.","PeriodicalId":117786,"journal":{"name":"2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications","volume":"103 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":"122603875","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}

引用次数: 1

Simulating plant plasticity under light environment: A source-sink approach 光环境下植物可塑性模拟:一种源汇方法

2012 IEEE 4th International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications Pub Date : 2012-10-01 DOI: 10.1109/PMA.2012.6524869

Haoyu Wang, Mengzhen Kang, Jing Hua

引用次数: 6