000845904 001__ 845904
000845904 005__ 20210129233729.0
000845904 0247_ $$2doi$$a10.1007/s11104-018-3595-8
000845904 0247_ $$2ISSN$$a0032-079X
000845904 0247_ $$2ISSN$$a1573-5036
000845904 0247_ $$2WOS$$aWOS:000430992300033
000845904 0247_ $$2Handle$$a2128/19911
000845904 0247_ $$2altmetric$$aaltmetric:33552245
000845904 037__ $$aFZJ-2018-03102
000845904 082__ $$a570
000845904 1001_ $$0P:(DE-Juel1)165987$$aLandl, Magdalena$$b0$$eCorresponding author
000845904 245__ $$aMeasuring root system traits of wheat in 2D images to parameterize 3D root architecture models
000845904 260__ $$aDordrecht [u.a.]$$bSpringer Science + Business Media B.V$$c2018
000845904 3367_ $$2DRIVER$$aarticle
000845904 3367_ $$2DataCite$$aOutput Types/Journal article
000845904 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1541492942_3676
000845904 3367_ $$2BibTeX$$aARTICLE
000845904 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000845904 3367_ $$00$$2EndNote$$aJournal Article
000845904 520__ $$aBackground and aimsThe main difficulty in the use of 3D root architecture models is correct parameterization. We evaluated distributions of the root traits inter-branch distance, branching angle and axial root trajectories from contrasting experimental systems to improve model parameterization.MethodsWe analyzed 2D root images of different wheat varieties (Triticum aestivum) from three different sources using automatic root tracking. Model input parameters and common parameter patterns were identified from extracted root system coordinates. Simulation studies were used to (1) link observed axial root trajectories with model input parameters (2) evaluate errors due to the 2D (versus 3D) nature of image sources and (3) investigate the effect of model parameter distributions on root foraging performance.ResultsDistributions of inter-branch distances were approximated with lognormal functions. Branching angles showed mean values <90°. Gravitropism and tortuosity parameters were quantified in relation to downwards reorientation and segment angles of root axes. Root system projection in 2D increased the variance of branching angles. Root foraging performance was very sensitive to parameter distribution and variance.Conclusions2D image analysis can systematically and efficiently analyze root system architectures and parameterize 3D root architecture models. Effects of root system projection (2D from 3D) and deflection (at rhizotron face) on size and distribution of particular parameters are potentially significant.
000845904 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000845904 588__ $$aDataset connected to CrossRef
000845904 7001_ $$0P:(DE-Juel1)157922$$aSchnepf, Andrea$$b1$$ufzj
000845904 7001_ $$0P:(DE-Juel1)129548$$aVanderborght, Jan$$b2$$ufzj
000845904 7001_ $$0P:(DE-HGF)0$$aBengough, A. Glyn$$b3
000845904 7001_ $$0P:(DE-HGF)0$$aBauke, Sara L.$$b4
000845904 7001_ $$0P:(DE-Juel1)171180$$aLobet, Guillaume$$b5$$ufzj
000845904 7001_ $$0P:(DE-Juel1)145865$$aBol, Roland$$b6$$ufzj
000845904 7001_ $$0P:(DE-Juel1)129549$$aVereecken, Harry$$b7$$ufzj
000845904 773__ $$0PERI:(DE-600)1478535-3$$a10.1007/s11104-018-3595-8$$gVol. 425, no. 1-2, p. 457 - 477$$n1-2$$p457 - 477$$tPlant and soil$$v425$$x1573-5036$$y2018
000845904 8564_ $$uhttps://juser.fz-juelich.de/record/845904/files/10.1007_s11104-018-3595-8.pdf$$yRestricted
000845904 8564_ $$uhttps://juser.fz-juelich.de/record/845904/files/10.1007_s11104-018-3595-8.gif?subformat=icon$$xicon$$yRestricted
000845904 8564_ $$uhttps://juser.fz-juelich.de/record/845904/files/10.1007_s11104-018-3595-8.jpg?subformat=icon-1440$$xicon-1440$$yRestricted
000845904 8564_ $$uhttps://juser.fz-juelich.de/record/845904/files/10.1007_s11104-018-3595-8.jpg?subformat=icon-180$$xicon-180$$yRestricted
000845904 8564_ $$uhttps://juser.fz-juelich.de/record/845904/files/10.1007_s11104-018-3595-8.jpg?subformat=icon-640$$xicon-640$$yRestricted
000845904 8564_ $$uhttps://juser.fz-juelich.de/record/845904/files/10.1007_s11104-018-3595-8.pdf?subformat=pdfa$$xpdfa$$yRestricted
000845904 8564_ $$uhttps://juser.fz-juelich.de/record/845904/files/Landl_et_al_2018_postprint.pdf$$yPublished on 2018-02-22. Available in OpenAccess from 2019-02-22.
000845904 8564_ $$uhttps://juser.fz-juelich.de/record/845904/files/Landl_et_al_2018_postprint.pdf?subformat=pdfa$$xpdfa$$yPublished on 2018-02-22. Available in OpenAccess from 2019-02-22.
000845904 909CO $$ooai:juser.fz-juelich.de:845904$$pdnbdelivery$$pVDB$$pVDB:Earth_Environment$$pdriver$$popen_access$$popenaire
000845904 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165987$$aForschungszentrum Jülich$$b0$$kFZJ
000845904 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)157922$$aForschungszentrum Jülich$$b1$$kFZJ
000845904 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129548$$aForschungszentrum Jülich$$b2$$kFZJ
000845904 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)171180$$aForschungszentrum Jülich$$b5$$kFZJ
000845904 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145865$$aForschungszentrum Jülich$$b6$$kFZJ
000845904 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129549$$aForschungszentrum Jülich$$b7$$kFZJ
000845904 9131_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0
000845904 9141_ $$y2018
000845904 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000845904 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews
000845904 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000845904 915__ $$0StatID:(DE-HGF)0530$$2StatID$$aEmbargoed OpenAccess
000845904 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPLANT SOIL : 2015
000845904 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000845904 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000845904 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000845904 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000845904 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000845904 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences
000845904 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database
000845904 915__ $$0StatID:(DE-HGF)0430$$2StatID$$aNational-Konsortium
000845904 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000845904 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz
000845904 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000845904 920__ $$lyes
000845904 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000845904 980__ $$ajournal
000845904 980__ $$aVDB
000845904 980__ $$aI:(DE-Juel1)IBG-3-20101118
000845904 980__ $$aUNRESTRICTED
000845904 9801_ $$aFullTexts