Kurth, Winfried

[["dc.bibliographiccitation.firstpage","813"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Annals of Botany"],["dc.bibliographiccitation.lastpage","827"],["dc.bibliographiccitation.volume","114"],["dc.contributor.author","Ong, Yongzhi"],["dc.contributor.author","Streit, Katarina"],["dc.contributor.author","Henke, Michael"],["dc.contributor.author","Kurth, Winfried"],["dc.date.accessioned","2018-11-07T09:35:41Z"],["dc.date.available","2018-11-07T09:35:41Z"],["dc.date.issued","2014"],["dc.description.abstract","Background and Aims Functional-structural plant models (FSPMs) simulate biological processes at different spatial scales. Methods exist for multiscale data representation and modification, but the advantages of using multiple scales in the dynamic aspects of FSPMs remain unclear. Results from multiscale models in various other areas of science that share fundamental modelling issues with FSPMs suggest that potential advantages do exist, and this study therefore aims to introduce an approach to multiscale modelling in FSPMs. Methods A three-part graph data structure and grammar is revisited, and presented with a conceptual framework for multiscale modelling. The framework is used for identifying roles, categorizing and describing scale-to-scale interactions, thus allowing alternative approaches to model development as opposed to correlation-based modelling at a single scale. Reverse information flow(from macro-to micro-scale) is catered for in the framework. The methods are implemented within the programming language XL. Key Results Three example models are implemented using the proposed multiscale graph model and framework. The first illustrates the fundamental usage of the graph data structure and grammar, the second uses probabilistic modelling for organs at the fine scale in order to derive crown growth, and the third combines multiscale plant topology with ozone trends and metabolic network simulations in order to model juvenile beech stands under exposure to a toxic trace gas. Conclusions The graph data structure supports data representation and grammar operations at multiple scales. The results demonstrate that multiscale modelling is a viable method in FSPM and an alternative to correlation-based modelling. Advantages and disadvantages of multiscale modelling are illustrated by comparisons with single-scale implementations, leading to motivations for further research in sensitivity analysis and run-time efficiency for these models."],["dc.identifier.doi","10.1093/aob/mcu155"],["dc.identifier.isi","000343039600018"],["dc.identifier.pmid","25134929"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/32443"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Oxford Univ Press"],["dc.relation.issn","1095-8290"],["dc.relation.issn","0305-7364"],["dc.title","An approach to multiscale modelling with graph grammars"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1103"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Frontiers of Computer Science"],["dc.bibliographiccitation.lastpage","1117"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Henke, Michael"],["dc.contributor.author","Kurth, Winfried"],["dc.contributor.author","Buck-Sorlin, Gerhard H."],["dc.date.accessioned","2018-11-07T10:05:36Z"],["dc.date.available","2018-11-07T10:05:36Z"],["dc.date.issued","2016"],["dc.description.abstract","In the last decade, functional-structural plant modelling (FSPM) has become a more widely accepted paradigm in crop and tree production, as 3D models for the most important crops have been proposed. Given the wider portfolio of available models, it is now appropriate to enter the next level in FSPM development, by introducing more efficient methods for model development. This includes the consideration of model reuse (by modularisation), combination and comparison, and the enhancement of existing models. To facilitate this process, standards for design and communication need to be defined and established. We present a first step towards an efficient and general, i.e., not speciesspecific FSPM, presently restricted to annual or bi-annual plants, but with the potential for extension and further generalization. Model structure is hierarchical and object-oriented, with plant organs being the base-level objects and plant individual and canopy the higher-level objects. Modules for the majority of physiological processes are incorporated, more than in other platforms that have a similar aim (e.g., photosynthesis, organ formation and growth). Simulation runs with several general parameter sets adopted from the literature show that the present prototypewas able to reproduce a plausible output range for different crops (rapeseed, barley, etc.) in terms of both the dynamics and final values (at harvest time) of model state variables such as assimilate production, organ biomass, leaf area and architecture."],["dc.identifier.doi","10.1007/s11704-015-4472-8"],["dc.identifier.isi","000385137600011"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/38926"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","2095-2236"],["dc.relation.issn","2095-2228"],["dc.relation.orgunit","Abteilung Ökoinformatik, Biometrie und Waldwachstum"],["dc.title","FSPM-P: towards a general functional-structural plant model for robust and comprehensive model development"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","817"],["dc.bibliographiccitation.issue","5"],["dc.bibliographiccitation.journal","Annals of Botany"],["dc.bibliographiccitation.lastpage","828"],["dc.bibliographiccitation.volume","107"],["dc.contributor.author","Xu, L. F."],["dc.contributor.author","Henke, Michael"],["dc.contributor.author","Zhu, Jun"],["dc.contributor.author","Kurth, Winfried"],["dc.contributor.author","Buck-Sorlin, Gerhard H."],["dc.date.accessioned","2018-11-07T08:57:16Z"],["dc.date.available","2018-11-07T08:57:16Z"],["dc.date.issued","2011"],["dc.description.abstract","Background and Aims Although quantitative trait loci (QTL) analysis of yield-related traits for rice has developed rapidly, crop models using genotype information have been proposed only relatively recently. As a first step towards a generic genotype-phenotype model, we present here a three-dimensional functional-structural plant model (FSPM) of rice, in which some model parameters are controlled by functions describing the effect of main-effect and epistatic QTLs. Methods The model simulates the growth and development of rice based on selected ecophysiological processes, such as photosynthesis (source process) and organ formation, growth and extension (sink processes). It was devised using GroIMP, an interactive modelling platform based on the Relational Growth Grammar formalism (RGG). RGG rules describe the course of organ initiation and extension resulting in final morphology. The link between the phenotype (as represented by the simulated rice plant) and the QTL genotype was implemented via a data interface between the rice FSPM and the QTLNetwork software, which computes predictions of QTLs from map data and measured trait data. Key Results Using plant height and grain yield, it is shown how QTL information for a given trait can be used in an FSPM, computing and visualizing the phenotypes of different lines of a mapping population. Furthermore, we demonstrate how modification of a particular trait feeds back on the entire plant phenotype via the physiological processes considered. Conclusions We linked a rice FSPM to a quantitative genetic model, thereby employing QTL information to refine model parameters and visualizing the dynamics of development of the entire phenotype as a result of ecophysiological processes, including the trait(s) for which genetic information is available. Possibilities for further extension of the model, for example for the purposes of ideotype breeding, are discussed."],["dc.identifier.doi","10.1093/aob/mcq264"],["dc.identifier.isi","000289838400008"],["dc.identifier.pmid","21247905"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/23353"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Oxford Univ Press"],["dc.relation.issn","0305-7364"],["dc.title","A functional-structural model of rice linking quantitative genetic information with morphological development and physiological processes"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","33"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Computing and Informatics"],["dc.bibliographiccitation.lastpage","54"],["dc.bibliographiccitation.volume","36"],["dc.contributor.author","Henke, Michael"],["dc.contributor.author","Kniemeyer, Ole"],["dc.contributor.author","Kurth, Winfried"],["dc.date.accessioned","2019-07-09T11:44:48Z"],["dc.date.available","2019-07-09T11:44:48Z"],["dc.date.issued","2017"],["dc.description.abstract","Two well-known approaches for modelling virtual vegetation are grammar- based methods (L-systems) and the Xfrog method, which is based on graph transformations expanding \\multiplier\" nodes. We show that both approaches can be uni ed in the framework of \\relational growth grammars\", a variant of parallel graph grammars. We demonstrate this possibility and the synergistic bene ts of the combination of both methods at simple plant models which were processed using our open-source software GroIMP."],["dc.identifier.doi","10.4149/cai_2017_1_33"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14909"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59100"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1335-9150"],["dc.relation.orgunit","Abteilung Ökoinformatik, Biometrie und Waldwachstum"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.ddc","570"],["dc.title","Realization and Extension of the Xfrog Approach for Plant Modelling in the Graph-Grammar Based Language XL"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Silva Fennica"],["dc.bibliographiccitation.lastpage","23"],["dc.bibliographiccitation.volume","48"],["dc.contributor.author","Henke, Michael"],["dc.contributor.author","Huckemann, Stephan"],["dc.contributor.author","Kurth, Winfried"],["dc.contributor.author","Sloboda, Branislav"],["dc.date.accessioned","2017-09-07T11:50:30Z"],["dc.date.available","2017-09-07T11:50:30Z"],["dc.date.issued","2014"],["dc.description.abstract","A simple and efficient photometric methodology is presented, covering all steps from field data acquisition to binarization and allowing for leaf contour modelling. This method comprises the modelling of area and size (correlated and modelled with a Chapman-Richards growth function, using final length as one parameter), and four shape descriptors, from which the entire contour can be reconstructed rather well using a specific spline methodology. As an improvement of this contour modelling method, a set of parameterized polynomials was used. To model the temporal kinetics of the shape, geodesics in shape spaces were employed. Finally it is shown how this methodology is integrated into the 3D modelling platform GroIMP."],["dc.identifier.doi","10.14214/sf.1019"],["dc.identifier.gro","3147632"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5094"],["dc.language.iso","en"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","2242-4075"],["dc.title","Reconstructing leaf growth based on non-destructive digitizing and low-parametric shape evolution for plant modelling over a growth cycle"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","49"],["dc.bibliographiccitation.issue","1-2"],["dc.bibliographiccitation.journal","Plant and Soil"],["dc.bibliographiccitation.lastpage","62"],["dc.bibliographiccitation.volume","385"],["dc.contributor.author","Henke, Michael"],["dc.contributor.author","Sarlikioti, Vaia"],["dc.contributor.author","Kurth, Winfried"],["dc.contributor.author","Buck-Sorlin, Gerhard H."],["dc.contributor.author","Pages, Loic"],["dc.date.accessioned","2018-11-07T09:32:16Z"],["dc.date.available","2018-11-07T09:32:16Z"],["dc.date.issued","2014"],["dc.description.abstract","Background and aims Root plasticity is a key process affecting the root system foraging capacity while itself being affected by the nutrient availability around the root environment. Root system architecture is determined by three types of plastic responses: chemotropism, spacing of lateral roots, hierarchy between laterals and their mother root. Methods We attempt a systematic comparison of the effect of each mechanism on the whole root plasticity when the root is grown under four distinct nutrient distribution scenarios using a functional-structural root model. Nutrient distributions included i) a completely random distribution, ii) a layered distribution, iii) a patch distribution, and iv) a gradient distribution. Root length, volume, total uptake, uptake efficiency as well as the soil profiles are given as model outputs. Results Root uptake was more efficient in a soil with a gradient nutrient distribution and less so in a patch distribution for all mechanisms. In terms of mechanisms uptake was more efficient for the spacing (elongation) mechanism than the hierarchy (branching) mechanism. Conclusions Root mechanisms play a different role in the foraging of the root with chemotropism being a global tracking mechanism, whereas spacing and hierarchy are ways to proliferate in a zone with locally available nutrients."],["dc.description.sponsorship","French National Institute of Agronomic Research (INRA, EA department"],["dc.identifier.doi","10.1007/s11104-014-2221-7"],["dc.identifier.isi","000345283400004"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/31717"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Springer"],["dc.relation.issn","1573-5036"],["dc.relation.issn","0032-079X"],["dc.title","Exploring root developmental plasticity to nitrogen with a three-dimensional architectural model"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]