001     1050716
005     20260116161105.0
037 _ _ |a FZJ-2026-00461
041 _ _ |a English
100 1 _ |a Agyei, Kwabena
|0 P:(DE-Juel1)191415
|b 0
|e Corresponding author
111 2 _ |a 3rd Workshop Carbon Allocation in Plants
|c Versailles
|d 2025-10-27 - 2025-10-29
|w France
245 _ _ |a In vivo quantification of temporal transport velocities and allocation of photoassimilates within sugar beet taproot by tomographic imaging
260 _ _ |c 2025
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a Other
|2 DataCite
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
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336 7 _ |a LECTURE_SPEECH
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336 7 _ |a Conference Presentation
|b conf
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|0 PUB:(DE-HGF)6
|s 1768576060_24942
|2 PUB:(DE-HGF)
|x After Call
520 _ _ |a Sugar beet is the second largest sugar-producing crop, accounting for about 40% of global sugar output. However, there is limited information regarding the phloem transport dynamics of photoassimilates during taproot development, which is a critical process in sugar accumulation. This gap is due to the hidden nature and limited availability of technologies to measure phloem dynamics. To address this, the storage organs of growing sugar beets were assessed using Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET). Additionally, plants affected by the rapidly spreading syndrome “basses richesses” (SBR) disease, which leads to an occlusion of the vascular tissues and significant yield losses, were analyzed.We found that generally, flow velocity was highest around 49 and 54 days after planting and substantially decreased until the last measurement at 84 days. Tracer flow velocities, ranging from 1.4 to 15.2 mm/min, were fastest in the taproot's inner section. Interestingly, SBR disease did not alter transport velocities. However, PET analysis revealed a heterogeneous distribution of labeled photoassimilates in diseased plants, with SBR-symptomatic taproot sectors showing very low tracer signals. This heterogeneity most probably originates from partial leaf inoculation, leading to an uneven pathogen distribution within the taproot.These results indicate that photoassimilate transport is dynamic, varying by organ, section, and developmental stage. The MRI-PET co-registration further suggests that biotic stressors like SBR impair photoassimilate sink capacity early in taproot development. Combining MRI and PET offers a powerful tool for understanding critical plant processes under developmental or environmental stress.
536 _ _ |a 2171 - Biological and environmental resources for sustainable use (POF4-217)
|0 G:(DE-HGF)POF4-2171
|c POF4-217
|f POF IV
|x 0
536 _ _ |a DFG project G:(GEPRIS)390732324 - EXC 2070: PhenoRob - Robotik und Phänotypisierung für Nachhaltige Nutzpflanzenproduktion (390732324)
|0 G:(GEPRIS)390732324
|c 390732324
|x 1
700 1 _ |a Metzner, Ralf
|0 P:(DE-Juel1)129360
|b 1
700 1 _ |a Pflugfelder, Daniel
|0 P:(DE-Juel1)131784
|b 2
700 1 _ |a Mahlein, Anne-Katrin
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Koller, Robert
|0 P:(DE-Juel1)165733
|b 4
|e Corresponding author
700 1 _ |a Huber, Gregor
|0 P:(DE-Juel1)129333
|b 5
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)191415
910 1 _ |a Forschungszentrum Jülich
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|6 P:(DE-Juel1)129360
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
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|6 P:(DE-Juel1)131784
910 1 _ |a Institute of Sugar Beet Research, Göttingen
|0 I:(DE-HGF)0
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|6 P:(DE-HGF)0
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
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913 1 _ |a DE-HGF
|b Forschungsbereich Erde und Umwelt
|l Erde im Wandel – Unsere Zukunft nachhaltig gestalten
|1 G:(DE-HGF)POF4-210
|0 G:(DE-HGF)POF4-217
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-200
|4 G:(DE-HGF)POF
|v Für eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten
|9 G:(DE-HGF)POF4-2171
|x 0
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBG-2-20101118
|k IBG-2
|l Pflanzenwissenschaften
|x 0
980 _ _ |a conf
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980 _ _ |a I:(DE-Juel1)IBG-2-20101118
980 _ _ |a UNRESTRICTED


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