guest ::
| Home > Publications database > Beyond Digging: Noninvasive Root and Rhizosphere Phenotyping > print |
| 001 | 867343 | ||
| 005 | 20220930130224.0 | ||
| 024 | 7 | _ | |a 10.1016/j.tplants.2019.10.011 |2 doi |
| 024 | 7 | _ | |a 1360-1385 |2 ISSN |
| 024 | 7 | _ | |a 1878-4372 |2 ISSN |
| 024 | 7 | _ | |a 2128/23763 |2 Handle |
| 024 | 7 | _ | |a pmid:31791653 |2 pmid |
| 024 | 7 | _ | |a WOS:000503380300012 |2 WOS |
| 037 | _ | _ | |a FZJ-2019-06041 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 570 |
| 100 | 1 | _ | |a Wasson, Anton P. |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Beyond Digging: Noninvasive Root and Rhizosphere Phenotyping |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2020 |b Elsevier 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 1583742743_28190 |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 A wide spectrum across physical domains has been tested to directly phenotype roots noninvasively in soils in controlled environments (CE) and fields (F). Some are established (green) in specialized groups, others are developing (pink). Magnetic resonance imaging (MRI), computed tomography (CT), and position emission tomography (PET) localize root structure and functions in containers of soil in CE. Neutron radiography, hyperspectral and multispectral instruments, and RGB (red, green, blue) cameras are applied to detect changes in root and rhizosphere chemistry through windows of rhizoboxes in CE. Field direct, noninvasive measurements are limited to ground penetrating radar (GPR) and to thick tree roots and tubers. Root system capacitance (RSC) shows promise where root thickness and the soil allow; thermoacoustic imaging is being explored. |
| 536 | _ | _ | |a 582 - Plant Science (POF3-582) |0 G:(DE-HGF)POF3-582 |c POF3-582 |f POF III |x 0 |
| 536 | _ | _ | |a DPPN - Deutsches Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A) |0 G:(DE-Juel1)BMBF-031A053A |c BMBF-031A053A |f Deutsches Pflanzen Phänotypisierungsnetzwerk |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Nagel, Kerstin A. |0 P:(DE-Juel1)129373 |b 1 |u fzj |
| 700 | 1 | _ | |a Tracy, Saoirse |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Watt, Michelle |0 P:(DE-Juel1)166460 |b 3 |e Corresponding author |u fzj |
| 773 | _ | _ | |a 10.1016/j.tplants.2019.10.011 |g p. S1360138519302808 |0 PERI:(DE-600)2011003-0 |n 1 |p 119-120 |t Trends in plant science |v 25 |y 2020 |x 1360-1385 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/867343/files/Invoice_OAD0000017606.pdf |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/867343/files/1-s2.0-S1360138519302808-main.pdf |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/867343/files/1-s2.0-S1360138519302808-main.pdf?subformat=pdfa |x pdfa |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/867343/files/Invoice_OAD0000017606.pdf?subformat=pdfa |x pdfa |
| 909 | C | O | |o oai:juser.fz-juelich.de:867343 |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 1 |6 P:(DE-Juel1)129373 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)166460 |
| 913 | 1 | _ | |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 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2020 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |
| 915 | _ | _ | |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 |0 LIC:(DE-HGF)CCBYNCND4 |2 HGFVOC |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b TRENDS PLANT SCI : 2017 |
| 915 | _ | _ | |a IF >= 10 |0 StatID:(DE-HGF)9910 |2 StatID |b TRENDS PLANT SCI : 2017 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1120 |2 StatID |b BIOSIS Reviews Reports And Meetings |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1060 |2 StatID |b Current Contents - Agriculture, Biology and Environmental Sciences |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |
| 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 I:(DE-Juel1)IBG-2-20101118 |
| 980 | _ | _ | |a APC |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | 1 | _ | |a APC |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|