Journal Article

FZJ-2016-00578

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Towards recommendations for metadata and data handling in plant phenotyping

Krajewski, P. (Corresponding author) ; Chen, D. ; Ćwiek, H. ; van Dijk, A. D. J. ; Fiorani, F.FZJ* ; Kersey, P. ; Klukas, C. ; Lange, M. ; Markiewicz, A. ; Nap, J. P. ; van Oeveren, J. ; Pommier, C. ; Scholz, U. ; van Schriek, M. ; Usadel, B.FZJ* ; Weise, S.

2015
Oxford Univ. Press Oxford

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Please use a persistent id in citations: doi:10.1093/jxb/erv271

Abstract: Recent methodological developments in plant phenotyping, as well as the growing importance of its applications in plant science and breeding, are resulting in a fast accumulation of multidimensional data. There is great potential for expediting both discovery and application if these data are made publicly available for analysis. However, collection and storage of phenotypic observations is not yet sufficiently governed by standards that would ensure interoperability among data providers and precisely link specific phenotypes and associated genomic sequence information. This lack of standards is mainly a result of a large variability of phenotyping protocols, the multitude of phenotypic traits that are measured, and the dependence of these traits on the environment. This paper discusses the current situation of standardization in the area of phenomics, points out the problems and shortages, and presents the areas that would benefit from improvement in this field. In addition, the foundations of the work that could revise the situation are proposed, and practical solutions developed by the authors are introduced.

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Contributing Institute(s):

1. Pflanzenwissenschaften (IBG-2)

Research Program(s):

1. 582 - Plant Science (POF3-582) (POF3-582)
2. EPPN - European Plant Phenotyping Network (284443) (284443)

Appears in the scientific report 2015

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Database coverage:
; Allianz-Lizenz / DFG ; BIOSIS Previews ; Current Contents - Agriculture, Biology and Environmental Sciences ; Current Contents - Life Sciences ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; National-Konsortium ; Nationallizenz ; No Authors Fulltext ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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