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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 |
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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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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.</description><identifier>ISSN: 0022-0957</identifier><identifier>EISSN: 1460-2431</identifier><identifier>DOI: 10.1093/jxb/erv271</identifier><identifier>PMID: 26044092</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>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</subject><ispartof>Journal of experimental botany, 2015-09, Vol.66 (18), p.5417-5427</ispartof><rights>The Author 2015</rights><rights>The Author 2015. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>Wageningen University & Research</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c496t-4da2404f9c800b651a99771ddbd0d346757769a4ab5bd8d0c745a05f4e27be5c3</citedby><cites>FETCH-LOGICAL-c496t-4da2404f9c800b651a99771ddbd0d346757769a4ab5bd8d0c745a05f4e27be5c3</cites><orcidid>0000-0002-9040-8733</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26389843$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26389843$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,58238,58471</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26044092$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.inrae.fr/hal-02636470$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Krajewski, Paweł</creatorcontrib><creatorcontrib>Chen, Dijun</creatorcontrib><creatorcontrib>Ćwiek, Hanna</creatorcontrib><creatorcontrib>van Dijk, Aalt D.J.</creatorcontrib><creatorcontrib>Fiorani, Fabio</creatorcontrib><creatorcontrib>Kersey, Paul</creatorcontrib><creatorcontrib>Klukas, Christian</creatorcontrib><creatorcontrib>Lange, Matthias</creatorcontrib><creatorcontrib>Markiewicz, Augustyn</creatorcontrib><creatorcontrib>Nap, Jan Peter</creatorcontrib><creatorcontrib>van Oeveren, Jan</creatorcontrib><creatorcontrib>Pommier, Cyril</creatorcontrib><creatorcontrib>Scholz, Uwe</creatorcontrib><creatorcontrib>van Schriek, Marco</creatorcontrib><creatorcontrib>Usadel, Björn</creatorcontrib><creatorcontrib>Weise, Stephan</creatorcontrib><title>Towards recommendations for metadata and data handling in plant phenotyping</title><title>Journal of experimental botany</title><addtitle>J Exp Bot</addtitle><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. 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source | JSTOR Archival Journals and Primary Sources Collection; Oxford Journals Online |
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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