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001     171783
005     20210129214314.0
037 _ _ |a FZJ-2014-05347
041 _ _ |a English
100 1 _ |a Metzner, Ralf
|0 P:(DE-Juel1)129360
|b 0
|e Corresponding Author
|u fzj
111 2 _ |a The 6th International Food Legumes Research Conference
|g IFLRC VI
|c Saskatoon
|d 2014-07-06 - 2014-07-11
|w Canada
245 _ _ |a Monitoring roots, nodule and pod development in vivo: New perspectives on legume development
260 _ _ |c 2014
336 7 _ |a Conference Presentation
|b conf
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|s 1414477653_26058
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336 7 _ |a Conference Paper
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336 7 _ |a Other
|2 DataCite
336 7 _ |a LECTURE_SPEECH
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336 7 _ |a conferenceObject
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336 7 _ |a INPROCEEDINGS
|2 BibTeX
520 _ _ |a Seed filling, root and nodule development are some of the key processes involved in abiotic stress resistance. However, these are complex processes hidden either by pod tissue (seed filling) or by soil (roots and nodules), so studying them quantitatively in-vivo is challenging. Non-invasive (3D) imaging techniques such as magnetic resonance imaging (MRI) can be used to investigate hidden structural development both above- and belowground. Co-registered positron emission tomography (PET) allows the acquisition of functional information by mapping of recent carbon investment of the plant and its dynamics e.g. in response to stress. For tasks not requiring spatial (volumetric) resolution, such as monitoring changes in pod water and dry-matter content, low field nuclear magnetic resonance relaxometry with portable devices (pNMR) can be applied. Such devices allow sensor-like applications in the greenhouse and the field. In the current contribution we will demonstrate the application of MRI to follow the development of root system architecture in soil grown pea and bean genotypes and monitor the progress of nodulation by repeated 3D mapping of nodule distribution. By correlating these maps with PET, monitoring carbon import, we get first insights into the functionality of nodules in the soil. Additionally we will demonstrate monitoring changes of bean pod water and dry-matter contents over the course of several weeks with pNMR. We discuss the potential and challenges of all three techniques (MRI, PET and pNMR) for application in legume research.
536 _ _ |a 242 - Sustainable Bioproduction (POF2-242)
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536 _ _ |a BMBF-0315532A - CROP.SENSe.net (BMBF-0315532A)
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536 _ _ |a DPPN - Deutsches Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A)
|0 G:(DE-Juel1)BMBF-031A053A
|c BMBF-031A053A
|f Deutsches Pflanzen Phänotypisierungsnetzwerk
|x 2
773 _ _ |y 2014
909 C O |o oai:juser.fz-juelich.de:171783
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910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
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|v Key Technologies for the Bioeconomy
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913 1 _ |a DE-HGF
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914 1 _ |y 2014
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBG-2-20101118
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980 _ _ |a I:(DE-Juel1)IBG-2-20101118
980 _ _ |a UNRESTRICTED

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