001020589 001__ 1020589
001020589 005__ 20240226075312.0
001020589 037__ $$aFZJ-2024-00284
001020589 041__ $$aEnglish
001020589 1001_ $$0P:(DE-Juel1)129425$$avan Dusschoten, Dagmar$$b0$$eCorresponding author$$ufzj
001020589 1112_ $$a7th conference on cereal biotechnology and breeding$$cwernigerode$$d2023-11-07 - 2023-11-09$$gcbb$$wGermany
001020589 245__ $$aMagnetic Resonance Imaging of early wheat seedlings and possible relevance for root water uptake
001020589 260__ $$c2023
001020589 3367_ $$033$$2EndNote$$aConference Paper
001020589 3367_ $$2DataCite$$aOther
001020589 3367_ $$2BibTeX$$aINPROCEEDINGS
001020589 3367_ $$2DRIVER$$aconferenceObject
001020589 3367_ $$2ORCID$$aLECTURE_SPEECH
001020589 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1704811941_22390$$xInvited
001020589 520__ $$aSeed germination and seedling establishment are the first important steps in a plant's growing cycle. We optimized a measurement sequence to quantify the early stages of root development in young seedlings in natural soil. We used magnetic resonance imaging (MRI), providing us with 3D information about root structures non-invasively. By growing up to 18 seedlings per pot (Ø=12.5cm, 10cm height) and by focusing on early growth (up to 4 days after start of germination), a much higher plant throughput compared to traditional 3D root measurement protocols in soil was achieved. Due to high temporal resolution of the acquired data (4 images per day), dynamic traits such as shoot and root emergence time were obtained accurately. We used this 'deep phenotyping' approach, with several temporal and spatial layers of data, to investigate phenotypic differences within the 8 parent lines of the NIAB MAGIC population. Clear phenotypic differences in structural (e.g. root angle, root lengths, and number) and temporal (e.g. time of root emergence, shoot emergence) were quantified. The initial root angle may be important for rooting depth at later stages which can potentially influence root water uptake (RWU) depth profiles. We show preliminary data using our home-build Soil Water Profiler (SWaP) on localized RWU for wheat plants in relatively wet soil and compare these with results we found for other species. This new MRI automation approach offers a promising tool for high throughput root seedling screening in natural soil environments, along with an opportunity to link the results with physiological measurements on root performance. This work was partly financially supported by BASF.
001020589 536__ $$0G:(DE-HGF)POF4-2171$$a2171 - Biological and environmental resources for sustainable use (POF4-217)$$cPOF4-217$$fPOF IV$$x0
001020589 65027 $$0V:(DE-MLZ)SciArea-160$$2V:(DE-HGF)$$aBiology$$x0
001020589 65017 $$0V:(DE-MLZ)GC-2004-2016$$2V:(DE-HGF)$$aBasic research$$x0
001020589 7001_ $$0P:(DE-Juel1)131784$$aPflugfelder, Daniel$$b1$$ufzj
001020589 7001_ $$0P:(DE-Juel1)185862$$aLe Gall, Samuel$$b2$$ufzj
001020589 7001_ $$0P:(DE-Juel1)165733$$aKoller, Robert$$b3$$ufzj
001020589 909CO $$ooai:juser.fz-juelich.de:1020589$$pVDB
001020589 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129425$$aForschungszentrum Jülich$$b0$$kFZJ
001020589 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131784$$aForschungszentrum Jülich$$b1$$kFZJ
001020589 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)185862$$aForschungszentrum Jülich$$b2$$kFZJ
001020589 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165733$$aForschungszentrum Jülich$$b3$$kFZJ
001020589 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)POF4-2171$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
001020589 9141_ $$y2023
001020589 920__ $$lyes
001020589 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
001020589 980__ $$aconf
001020589 980__ $$aVDB
001020589 980__ $$aI:(DE-Juel1)IBG-2-20101118
001020589 980__ $$aUNRESTRICTED