| 001 | 1048822 | ||
| 005 | 20260108204822.0 | ||
| 024 | 7 | _ | |a 10.1016/j.plaphe.2025.100053 |2 doi |
| 024 | 7 | _ | |a 2097-0374 |2 ISSN |
| 024 | 7 | _ | |a 2643-6515 |2 ISSN |
| 024 | 7 | _ | |a 10.34734/FZJ-2025-04930 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2025-04930 |
| 082 | _ | _ | |a 580 |
| 100 | 1 | _ | |a Agyei, Kwabena |0 P:(DE-Juel1)191415 |b 0 |u fzj |
| 245 | _ | _ | |a Syndrome “basses richesses” disease induced structural deformations and sectorial distribution of photoassimilates in sugar beet taproot revealed by combined MRI-PET imaging |
| 260 | _ | _ | |a Washington, D.C. |c 2025 |b American Association for the Advancement of Science |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1767871873_28134 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a The disease syndrome “basses richesses” (SBR) leads to a significant reduction in sugar beet biomass and sugarcontent, negatively affecting the sugar economy. The mechanistic understanding regarding growth and photoassimilatesdistribution within the sugar beet taproot diseased with SBR is currently incomplete. We combinedtwo tomographic methods, magnetic resonance imaging (MRI) and positron emission tomography (PET) using11C as tracer, to non-invasively determine SBR effects on structural growth and photoassimilates distributionwithin the developing taproot over six weeks. MRI analysis revealed a deformed cross-sectional anatomicalstructure from an early stage, as well as a reduction in taproot volume and width of inner cambium ringstructures of up to 26 and 24 %, respectively. These SBR disease effects were also confirmed by post-harvestanalysis of the taproot. PET analysis revealed a heterogeneous distribution of labeled photoassimilates fordiseased plants: sectors of the taproot with characteristic SBR symptoms showed little to very low 11C tracersignal. The heterogeneity of SBR disease effects is most likely due to a partial inoculation of leaves leading to anuneven distribution of the SBR pathogen in the taproot through the strong vascular interconnection betweenshoot and root. Also, the pathogen needs to spread non-uniformly within the taproot to explain the observedmarked increase of the SBR disease effects over time. Our results indicate that SBR affects photoassimilates sinkcapacity at an early stage of taproot development. Co-registration of MRI and PET may support an early judgingof susceptibility and selection of promising genotype candidates for future breeding programs. |
| 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 |
| 588 | _ | _ | |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de |
| 700 | 1 | _ | |a Detring, Justus |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Metzner, Ralf |0 P:(DE-Juel1)129360 |b 2 |u fzj |
| 700 | 1 | _ | |a Huber, Gregor |0 P:(DE-Juel1)129333 |b 3 |e Corresponding author |
| 700 | 1 | _ | |a Pflugfelder, Daniel |0 P:(DE-Juel1)131784 |b 4 |u fzj |
| 700 | 1 | _ | |a Eini, Omid |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Varrelmann, Mark |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Mahlein, Anne-Katrin |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Koller, Robert |0 P:(DE-Juel1)165733 |b 8 |u fzj |
| 773 | _ | _ | |a 10.1016/j.plaphe.2025.100053 |g Vol. 7, no. 2, p. 100053 - |0 PERI:(DE-600)2968615-5 |n 2 |p 100053 - |t Plant phenomics |v 7 |y 2025 |x 2097-0374 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1048822/files/1-s2.0-S2643651525000597-main.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:1048822 |p openaire |p open_access |p OpenAPC |p driver |p VDB |p openCost |p dnbdelivery |
| 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 |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)129360 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)129333 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)131784 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 8 |6 P:(DE-Juel1)165733 |
| 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 |
| 915 | p | c | |a APC keys set |0 PC:(DE-HGF)0000 |2 APC |
| 915 | p | c | |a Local Funding |0 PC:(DE-HGF)0001 |2 APC |
| 915 | p | c | |a DFG OA Publikationskosten |0 PC:(DE-HGF)0002 |2 APC |
| 915 | p | c | |a DEAL: Elsevier 09/01/2023 |0 PC:(DE-HGF)0125 |2 APC |
| 915 | p | c | |a DOAJ Journal |0 PC:(DE-HGF)0003 |2 APC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2024-12-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2024-12-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2024-12-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2024-12-19 |
| 915 | _ | _ | |a Creative Commons Attribution CC BY 4.0 |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b PLANT PHENOMICS : 2022 |d 2024-12-19 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b PLANT PHENOMICS : 2022 |d 2024-12-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2022-01-10T10:16:54Z |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2022-01-10T10:16:54Z |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2024-12-19 |
| 915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2024-12-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2024-12-19 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Anonymous peer review |d 2022-01-10T10:16:54Z |
| 915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2024-12-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1060 |2 StatID |b Current Contents - Agriculture, Biology and Environmental Sciences |d 2024-12-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2024-12-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |d 2024-12-19 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2024-12-19 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBG-2-20101118 |k IBG-2 |l Pflanzenwissenschaften |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)IBG-2-20101118 |
| 980 | _ | _ | |a APC |
| 980 | 1 | _ | |a APC |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|
Gast ::