000811103 001__ 811103
000811103 005__ 20210129223726.0
000811103 037__ $$aFZJ-2016-03626
000811103 041__ $$aEnglish
000811103 1001_ $$0P:(DE-Juel1)129360$$aMetzner, Ralf$$b0$$eCorresponding author$$ufzj
000811103 1112_ $$aPlant Biology Europe EPSO/FESPB 2016 Congress$$cPrague$$d2016-06-27 - 2016-06-30$$wCzech Republic
000811103 245__ $$aInvestigating belowground dynamics with MRI and PET
000811103 260__ $$c2016
000811103 3367_ $$033$$2EndNote$$aConference Paper
000811103 3367_ $$2DataCite$$aOther
000811103 3367_ $$2BibTeX$$aINPROCEEDINGS
000811103 3367_ $$2DRIVER$$aconferenceObject
000811103 3367_ $$2ORCID$$aLECTURE_SPEECH
000811103 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1468222219_10638$$xAfter Call
000811103 520__ $$aDevelopment of a root system and management of its various functions suited for the local dynamic resource situation and environmental conditions is critical for plant survival, performance and yield. For “Root Crops” where the yield-relevant organ is developing belowground, the processes leading to amount and quality of the product at harvest also happen among the plants hidden half. Unfortunately, the opaque nature of soil prevents observation of such processes by simple means and while a number of approaches for observing 2D root development such as rhizotrons have been applied successfully, roots naturally develop interacting with their 3D soil environment and form complex 3D structures. Therefore the ability to deep-phenotype the 3D structure and function of roots and other belowground structures non-invasively yields a high potential for gaining new insights into root development, its regulation and responses to stress. Magnetic resonance imaging (MRI) is a technique that allows for non-invasive visualization and quantification of root system architecture traits in soil such as root length and mass, as well as internal structures of belowground storage organs. Positron emission tomography (PET) using short-lived radiotracer 11CO2 provides additional imaging of the distribution of newly fixed photoassimilates. Also Photoassimilate flow characteristics can be extracted from PET data with a model-based analysis. We show here application of both techniques for visualization and quantification of root system architecture, anatomy and photoassimilate allocation on a range of species and developmental stages including barley, maize, sugar beet and pea.
000811103 536__ $$0G:(DE-HGF)POF3-582$$a582 - Plant Science (POF3-582)$$cPOF3-582$$fPOF III$$x0
000811103 7001_ $$0P:(DE-Juel1)131784$$aPflugfelder, Daniel$$b1$$ufzj
000811103 7001_ $$0P:(DE-Juel1)129425$$avan Dusschoten, Dagmar$$b2$$ufzj
000811103 7001_ $$0P:(DE-Juel1)129402$$aSchurr, Ulrich$$b3$$ufzj
000811103 7001_ $$0P:(DE-Juel1)129336$$aJahnke, Siegfried$$b4$$ufzj
000811103 909CO $$ooai:juser.fz-juelich.de:811103$$pVDB
000811103 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129360$$aForschungszentrum Jülich$$b0$$kFZJ
000811103 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131784$$aForschungszentrum Jülich$$b1$$kFZJ
000811103 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129425$$aForschungszentrum Jülich$$b2$$kFZJ
000811103 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129402$$aForschungszentrum Jülich$$b3$$kFZJ
000811103 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129336$$aForschungszentrum Jülich$$b4$$kFZJ
000811103 9131_ $$0G:(DE-HGF)POF3-582$$1G:(DE-HGF)POF3-580$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lKey Technologies for the Bioeconomy$$vPlant Science$$x0
000811103 9141_ $$y2016
000811103 915__ $$0StatID:(DE-HGF)0550$$2StatID$$aNo Authors Fulltext
000811103 920__ $$lyes
000811103 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
000811103 980__ $$aconf
000811103 980__ $$aVDB
000811103 980__ $$aUNRESTRICTED
000811103 980__ $$aI:(DE-Juel1)IBG-2-20101118