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000906007 005__ 20230123101851.0
000906007 037__ $$aFZJ-2022-01176
000906007 041__ $$aEnglish
000906007 1001_ $$0P:(DE-Juel1)179217$$aLanzrath, Hannah$$b0$$eCorresponding author$$ufzj
000906007 1112_ $$aCarbon Allocation in plants$$cVersailles$$d2021-10-28 - 2021-10-29$$wFrance
000906007 245__ $$aModelling of 11C Tracer Transport in Plants
000906007 260__ $$c2021
000906007 3367_ $$033$$2EndNote$$aConference Paper
000906007 3367_ $$2DataCite$$aOther
000906007 3367_ $$2BibTeX$$aINPROCEEDINGS
000906007 3367_ $$2DRIVER$$aconferenceObject
000906007 3367_ $$2ORCID$$aLECTURE_SPEECH
000906007 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1643875657_29313$$xAfter Call
000906007 500__ $$aBühler J, von Lieres E, Huber G (2014). A class of compartmental models for long-distance tracer transport in plants, Journal of Theoretical Biology 341, 131-142; Bühler J, Huber G, von Lieres E (2017). Finite volume schemes for the numerical simulation of tracer transport in plants, Mathematical Biosciences 288, 14-20; Bühler J, von Lieres E, Huber G (2018). Model based design of long-distance tracer transport experiments in plants, Frontiers in Plant Science 9:773
000906007 520__ $$aUnderstanding long-distance transport in plants enables the investigation of functional traits under the influence of diverse environmental factors. Especially carbon partitioning in the phloem is of great interest, as it ensures the growth and survival of higher plants. Despite the long familiarity of these transport mechanisms, quantifying their physical properties remains a complicated task due to the many factors that influence transport. Also, efficiently measuring the flow itself often poses a problem, as many sampling methods are destructive and may distort the allocation. Therefore, non-invasive methods utilising radioactive tracers have been established in plant physiological and ecological research. For example, CO2 marked with the short-lived radioisotope 11C can be introduced to the plant as carbon source to investigate carbon partitioning. The tracer inside the plant organs can be detected and localised by positron emission tomography (PET). In order to estimate certain transport properties, the obtained spatially and temporally resolved tracer data can be analysed with mathematical methods. Here, we present the modelling approach of Bühler et al. (2014-2018), who introduced a model family that represents tracer transport in the phloem in several compartments. Between the compartments axial convection as well as lateral exchange can take place. We demonstrate how this modelling framework allows estimation of transport parameters such as plant specific flow velocities and the amount of tracer stored along the transport pathway by fitting them to experimentally obtained data. Finally, we discuss how the modelling framework can be extended to enable analysis of complex datasets from branched plant structures.
000906007 536__ $$0G:(DE-HGF)POF4-2172$$a2172 - Utilization of renewable carbon and energy sources and engineering of ecosystem functions (POF4-217)$$cPOF4-217$$fPOF IV$$x0
000906007 7001_ $$0P:(DE-Juel1)129081$$avon Lieres, Eric$$b1$$ufzj
000906007 7001_ $$0P:(DE-Juel1)129333$$aHuber, Gregor$$b2$$ufzj
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000906007 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)179217$$aForschungszentrum Jülich$$b0$$kFZJ
000906007 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129081$$aForschungszentrum Jülich$$b1$$kFZJ
000906007 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129333$$aForschungszentrum Jülich$$b2$$kFZJ
000906007 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2172$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
000906007 9141_ $$y2022
000906007 920__ $$lyes
000906007 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
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000906007 980__ $$aVDB
000906007 980__ $$aI:(DE-Juel1)IBG-2-20101118
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