001049174 001__ 1049174
001049174 005__ 20251211202158.0
001049174 0247_ $$2doi$$a10.1111/nph.70102
001049174 0247_ $$2ISSN$$a0028-646X
001049174 0247_ $$2ISSN$$a1469-8137
001049174 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-05257
001049174 037__ $$aFZJ-2025-05257
001049174 082__ $$a580
001049174 1001_ $$00000-0003-0983-1196$$aLippold, Eva$$b0$$eCorresponding author
001049174 245__ $$aLinking micro‐X‐ray fluorescence spectroscopy and X‐ray computed tomography with model simulation explains differences in nutrient gradients around roots of different types and ages
001049174 260__ $$aOxford [u.a.]$$bWiley-Blackwell$$c2025
001049174 3367_ $$2DRIVER$$aarticle
001049174 3367_ $$2DataCite$$aOutput Types/Journal article
001049174 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1765475758_23426
001049174 3367_ $$2BibTeX$$aARTICLE
001049174 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001049174 3367_ $$00$$2EndNote$$aJournal Article
001049174 500__ $$a.This project was carried out in the framework of the priorityprogramme 2089 ‘Rhizosphere spatiotemporal organisation – akey to rhizosphere functions’ funded by Deutsche Forschungsgemeinschaft(DFG), German Research Foundation (projectnos.: 403641034, 403801423 and 403640293). The μ-XRFinstrument was also funded by the DFG (grant no.:344418428). The authors gratefully acknowledge SebastianRGA Blaser for help with X-ray CT measurements and analysis,Bernd Apelt for help in the laboratory whenever it wasneeded, Maxime Phalempin for help with the root segmentationalgorithm, Josefine Karte (Department Analytical Chemistry,Helmholtz Centre for Environmental Research – UFZ) forthe measurements of elemental contents in the soil solutions,Lisa Hofmann for the measurement of root diameters on completeroot systems and Gertraud Harrington for help with samplepreparation of the thin sections. Open Access fundingenabled and organized by Projekt DEAL.
001049174 520__ $$aPlant roots create chemical gradients within the rhizosphere, but little information exists onthe effect of root properties on the distribution of chemical gradients. The research aim was toanalyse and model the effects of root type and age, radial root geometry and root hairs onnutrient gradients in the rhizosphere. Using micro-X-ray fluorescence spectroscopy (μ-XRF) combined with X-ray computedtomography (X-ray CT), we analysed nutrient gradients around root segments with differentdiameters and ages of two Zea mays genotypes (wild-type and root hair defective mutant)growing in two substrates (loam and sand). Gradients of key nutrients were compared withgradients obtained by a process-based, radially symmetric 1D rhizosphere model. Results show that root hairs matter for nutrient uptake during supply limitation (phosphorus(P)), but not when it is limited by uptake kinetics (calcium (Ca), sulphur (S)). Higher Ca and Saccumulation was observed at the surface of older and thicker root segments than at youngerand thinner root segments. Micro-XRF proved suitable for the detection of nutrient gradients of Ca and S, but not of P.While continuum modelling was well suited to explain observed nutrient gradients, it was lesseffective in representing pore-related phenomena, such as precipitation reactions, which callsfor new homogenization approaches.
001049174 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x0
001049174 536__ $$0G:(GEPRIS)403801423$$aDFG project G:(GEPRIS)403801423 - Koordinationsfonds (403801423)$$c403801423$$x1
001049174 536__ $$0G:(GEPRIS)403640293$$aDFG project G:(GEPRIS)403640293 - Relevanz von Wurzelwachstum und assoziierter Bodenstruktur für raum-zeitliche Muster chemischer und biologischer Parameter und emergente Systemfunktionen (403640293)$$c403640293$$x2
001049174 536__ $$0G:(GEPRIS)403641034$$aDFG project G:(GEPRIS)403641034 - Modellierung von Selbstorganisation in der Rhizosphäre (403641034)$$c403641034$$x3
001049174 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001049174 7001_ $$0P:(DE-Juel1)165987$$aLandl, Magdalena$$b1
001049174 7001_ $$0P:(DE-HGF)0$$aBraatz, Eric$$b2
001049174 7001_ $$00000-0002-3140-9058$$aSchlüter, Steffen$$b3
001049174 7001_ $$0P:(DE-HGF)0$$aKilian, Rüdiger$$b4
001049174 7001_ $$00000-0002-7186-6528$$aMikutta, Robert$$b5
001049174 7001_ $$0P:(DE-Juel1)157922$$aSchnepf, Andrea$$b6
001049174 7001_ $$00000-0003-2020-3262$$aVetterlein, Doris$$b7
001049174 773__ $$0PERI:(DE-600)1472194-6$$a10.1111/nph.70102$$gVol. 246, no. 4, p. 1780 - 1795$$n4$$p1780 - 1795$$tThe new phytologist$$v246$$x0028-646X$$y2025
001049174 8564_ $$uhttps://juser.fz-juelich.de/record/1049174/files/New%20Phytologist%20-%202025%20-%20Lippold%20-%20Linking%20micro%E2%80%90X%E2%80%90ray%20fluorescence%20spectroscopy%20and%20X%E2%80%90ray%20computed%20tomography%20with%20model.pdf$$yOpenAccess
001049174 909CO $$ooai:juser.fz-juelich.de:1049174$$popenaire$$popen_access$$pVDB$$pdriver$$pdnbdelivery
001049174 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165987$$aForschungszentrum Jülich$$b1$$kFZJ
001049174 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)157922$$aForschungszentrum Jülich$$b6$$kFZJ
001049174 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2173$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
001049174 9141_ $$y2025
001049174 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-12
001049174 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2024-12-12
001049174 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2024-12-12
001049174 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2024-12-12
001049174 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2024-12-12
001049174 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bNEW PHYTOL : 2022$$d2024-12-12
001049174 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bNEW PHYTOL : 2022$$d2024-12-12
001049174 915__ $$0StatID:(DE-HGF)3001$$2StatID$$aDEAL Wiley$$d2024-12-12$$wger
001049174 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2024-12-12
001049174 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-12
001049174 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001049174 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2024-12-12
001049174 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences$$d2024-12-12
001049174 915__ $$0StatID:(DE-HGF)0430$$2StatID$$aNational-Konsortium$$d2024-12-12$$wger
001049174 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-12
001049174 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001049174 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-12
001049174 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
001049174 980__ $$ajournal
001049174 980__ $$aVDB
001049174 980__ $$aUNRESTRICTED
001049174 980__ $$aI:(DE-Juel1)IBG-3-20101118
001049174 9801_ $$aFullTexts