001     171781
005     20220930130034.0
024 7 _ |a 10.3389/fpls.2014.00469
|2 doi
024 7 _ |a WOS:000343858000001
|2 WOS
024 7 _ |a 2128/9141
|2 Handle
024 7 _ |a altmetric:2688515
|2 altmetric
024 7 _ |a pmid:25278947
|2 pmid
037 _ _ |a FZJ-2014-05345
041 _ _ |a English
082 _ _ |a 570
100 1 _ |a Metzner, Ralf
|0 P:(DE-Juel1)129360
|b 0
|e Corresponding Author
|u fzj
245 _ _ |a Belowground plant development measured with magnetic resonance imaging (MRI): exploiting the potential for non-invasive trait quantification using sugar beet as a proxy
260 _ _ |a Lausanne
|c 2014
|b Frontiers Media
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1422426498_8062
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
520 _ _ |a Both structural and functional properties of belowground plant organs are critical for the development and yield of plants but, compared to the shoot, much more difficult to observe due to soil opacity. Many processes concerning the belowground plant performance are not fully understood, in particular spatial and temporal dynamics and their interrelation with environmental factors. We used Magnetic Resonance Imaging (MRI) as a noninvasive method to evaluate which traits can be measured when a complex plant organ is monitored in-vivo while growing in the soil. We chose sugar beet (Beta vulgaris ssp. vulgaris) as a model system. The beet consists mainly of root tissues, is rather complex regarding tissue structure and responses to environmental factors, and thereby a good object to test the applicability of MRI for 3D phenotyping approaches. Over a time period of up to 3 months, traits such as beet morphology or anatomy were followed in the soil and the effect of differently sized pots on beet fresh weight calculated from MRI data was studied. There was a clear positive correlation between the pot size and the increase in fresh weight of a sugar beet over time. Since knowledge of the development of internal beet structures with several concentric cambia, vascular and parenchyma rings is still limited, we consecutively acquired 3D volumetric images on individual plants using the MRI contrast parameter T2 to map the development of rings at the tissue level. This demonstrates that MRI provides versatile protocols to non-invasively measure plant traits in the soil. It opens new avenues to investigate belowground plant performance under adverse environmental conditions such as drought, nutrient shortage, or soil compaction to seek for traits of belowground organs making plants more resilient to stress.
536 _ _ |a 89582 - Plant Science (POF2-89582)
|0 G:(DE-HGF)POF2-89582
|c POF2-89582
|f POF II T
|x 0
536 _ _ |a BMBF-0315532A - CROP.SENSe.net (BMBF-0315532A)
|0 G:(DE-Juel1)BMBF-0315532A
|c BMBF-0315532A
|x 1
536 _ _ |a DPPN - Deutsches Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A)
|0 G:(DE-Juel1)BMBF-031A053A
|c BMBF-031A053A
|f Deutsches Pflanzen Phänotypisierungsnetzwerk
|x 2
588 _ _ |a Dataset connected to CrossRef, juser.fz-juelich.de
700 1 _ |a van Dusschoten, Dagmar
|0 P:(DE-Juel1)129425
|b 1
|u fzj
700 1 _ |a Bühler, Jonas
|0 P:(DE-Juel1)5963
|b 2
700 1 _ |a Schurr, Ulrich
|0 P:(DE-Juel1)129402
|b 3
|u fzj
700 1 _ |a Jahnke, Siegfried
|0 P:(DE-Juel1)129336
|b 4
|u fzj
773 _ _ |a 10.3389/fpls.2014.00469
|g Vol. 5
|0 PERI:(DE-600)2613694-6
|n 469
|p 1-11
|t Frontiers in plant science
|v 5
|y 2014
|x 1664-462X
856 4 _ |u http://journal.frontiersin.org/Journal/10.3389/fpls.2014.00469/abstract
856 4 _ |u https://juser.fz-juelich.de/record/171781/files/FZJ-2014-05345.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:171781
|p openaire
|p open_access
|p OpenAPC
|p driver
|p VDB
|p openCost
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)5963
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)129425
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)5963
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 3
|6 P:(DE-Juel1)129402
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)129336
913 2 _ |a DE-HGF
|b Key Technologies
|l Key Technologies for the Bioeconomy
|1 G:(DE-HGF)POF3-580
|0 G:(DE-HGF)POF3-582
|2 G:(DE-HGF)POF3-500
|v Plant Science
|x 0
913 1 _ |a DE-HGF
|0 G:(DE-HGF)POF2-89582
|v Plant Science
|x 0
|4 G:(DE-HGF)POF
|1 G:(DE-HGF)POF3-890
|3 G:(DE-HGF)POF3
|2 G:(DE-HGF)POF3-800
|b Programmungebundene Forschung
|l ohne Programm
914 1 _ |y 2014
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBG-2-20101118
|k IBG-2
|l Pflanzenwissenschaften
|x 0
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IBG-2-20101118
980 _ _ |a APC


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21