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Towards recommendations for metadata and data handling in plant phenotyping

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 p...

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Published in:Journal of experimental botany 2015-09, Vol.66 (18), p.5417-5427
Main Authors: Krajewski, Paweł, Chen, Dijun, Ćwiek, Hanna, van Dijk, Aalt D.J., Fiorani, Fabio, Kersey, Paul, Klukas, Christian, Lange, Matthias, Markiewicz, Augustyn, Nap, Jan Peter, van Oeveren, Jan, Pommier, Cyril, Scholz, Uwe, van Schriek, Marco, Usadel, Björn, Weise, Stephan
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cited_by cdi_FETCH-LOGICAL-c496t-4da2404f9c800b651a99771ddbd0d346757769a4ab5bd8d0c745a05f4e27be5c3
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container_issue 18
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creator Krajewski, Paweł
Chen, Dijun
Ćwiek, Hanna
van Dijk, Aalt D.J.
Fiorani, Fabio
Kersey, Paul
Klukas, Christian
Lange, Matthias
Markiewicz, Augustyn
Nap, Jan Peter
van Oeveren, Jan
Pommier, Cyril
Scholz, Uwe
van Schriek, Marco
Usadel, Björn
Weise, Stephan
description 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.
doi_str_mv 10.1093/jxb/erv271
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subjects Biometris (WU MAT)
BIOS Applied Bioinformatics
Crops, Agricultural - genetics
Genome, Plant
Genomics - methods
Life Sciences
Mathematical and Statistical Methods - Biometris
OPINION PAPER
Phenotype
PRI BIOS Applied Bioinformatics
Statistics as Topic - methods
Vegetal Biology
Wiskundige en Statistische Methoden - Biometris
title Towards recommendations for metadata and data handling in plant phenotyping
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