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| 001 | 140046 | ||
| 005 | 20210129212746.0 | ||
| 024 | 7 | _ | |a 10.1104/pp.113.227892 |2 doi |
| 024 | 7 | _ | |a 1532-2548 |2 ISSN |
| 024 | 7 | _ | |a 0032-0889 |2 ISSN |
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| 024 | 7 | _ | |a altmetric:2805836 |2 altmetric |
| 024 | 7 | _ | |a pmid:24218493 |2 pmid |
| 037 | _ | _ | |a FZJ-2013-06009 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 580 |
| 100 | 1 | _ | |a Leitner, D. |0 P:(DE-HGF)0 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Recovering root system traits using image analysis - Exemplified by 2-dimensional neutron radiography images of lupine |
| 260 | _ | _ | |c 2013 |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1385991957_19662 |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 |
| 500 | _ | _ | |3 POF3_Assignment on 2016-02-29 |
| 500 | _ | _ | |a Online first, OpenAccess |
| 520 | _ | _ | |a Root system traits are important in view of current challenges such as
sustainable crop production with reduced fertilizer input or in resource
limited environments. We present a novel approach for recovering root
architectural parameters based on image analysis techniques.
It is based on a graph representation of the segmented and
skeletonised image of the root system, where individual roots are
tracked in a fully-automated way. Using a dynamic root architecture
model for deciding whether a specific path in the graph is likely to
represent a root helps to distinguish root overlaps from branches and
favours the analysis of root development over a sequence of images.
After the root tracking step, global traits such as topological
characteristics as well as root architectural parameters are computed.
Analysis of neutron radiographic root system images of Lupinus
albus grown in mesocosms filled with sandy soil results in a set of root
architectural parameters. They are used to simulate the dynamic
development of the root system and to compute the corresponding root
length densities in the mesocosm.
The graph representation of the root system provides global
information about connectivity inside the graph. The underlying root
growth model helps to decide which path inside the graph is most
likely for a given root. This facilitates the systematic investigation of
root architectural traits in particular with respect to parametrisation of
dynamic root architecture models |
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| 773 | _ | _ | |a 10.1104/pp.113.227892 |g p. pp.113.227892 |p 1-49 |0 PERI:(DE-600)2004346-6 |t Plant physiology |v 0 |x 1532-2548 |
| 856 | 4 | _ | |u http://www.plantphysiol.org/content/early/2013/11/12/pp.113.227892.full.pdf |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/140046/files/FZJ-2013-06009_PV.pdf |z Published final document. |y Restricted |
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