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024 7 _ |2 pmid
|a pmid:20048331
024 7 _ |2 DOI
|a 10.1093/jxb/erp358
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024 7 _ |2 uri
|a 10.1093/jxb/erp358
024 7 _ |2 uri
|a http://jxb.oxfordjournals.org/content/61/8/2043.full
024 7 _ |2 Handle
|a 2128/4392
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037 _ _ |a PreJuSER-5324
041 _ _ |a eng
082 _ _ |a 580
082 _ _ |a 580
084 _ _ |2 WoS
|a Plant Sciences
100 1 _ |0 P:(DE-Juel1)129384
|a Poorter, H.
|b 0
|u FZJ
245 _ _ |a A method to construct dose - response curves for a wide range of environmental factors and plant traits by means of a meta-analysis of phenotypic data
260 _ _ |a Oxford
|b Univ. Press
|c 2010
295 1 0 |a Journal of Experimental Botany (2010) 61 (8): 2043-2055
300 _ _ |a 2043 - 2055
336 7 _ |a Journal Article
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336 7 _ |a article
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440 _ 0 |0 3318
|a Journal of Experimental Botany
|v 61
|x 0022-0957
|y 8
500 _ _ |a This is an electronic version of an article published in: Journal of Experimental Botany, Vol. 61, No. 8, pp. 2043–2055, 2010.
500 _ _ |a Record converted from JUWEL: 18.07.2013
500 _ _ |a We thank Ismael Aranda, Owen Atkin, Corine de Groot, Yulong Feng, Keith Funnell, Yaskara Hayashida, Vaughan Hurry, Maarit Maenpaa, Kerstin Nagel, Leo Marcelis, Thijs Pons, Peter Reich, Dina Rhonzina, Francesco Ripullone, Catherine Roumet, Peter Ryser, Dylan Schwilk, Susanne Tittman, Jan Henk Venema, and Rafael Villar, for generously providing (partly) unpublished results for this analysis. Lea Hallik, Harry Olde Venterink, and Hans Schepers as well as the reviewers provided insightful comments on a previous version of the manuscript. HP acknowledges support from the Estonian University of Life Sciences and the Estonian Ministry of Education and Science (grant SF1090065s07) for his stay during the writing of this manuscript.
520 _ _ |a In the past, biologists have characterized the responses of a wide range of plant species to their environment. As a result, phenotypic data from hundreds of experiments are publicly available now. Unfortunately, this information is not structured in a way that enables quantitative and comparative analyses. We aim to fill this gap by building a large database which currently contains data on 1000 experiments and 800 species. This paper presents methodology to generalize across different experiments and species, taking the response of specific leaf area (SLA; leaf area:leaf mass ratio) to irradiance as an example. We show how to construct and quantify a normalized mean light-response curve, and subsequently test whether there are systematic differences in the form of the curve between contrasting subgroups of species. This meta-analysis is then extended to a range of other environmental factors important for plant growth as well as other phenotypic traits, using >5300 mean values. The present approach, which we refer to as 'meta-phenomics', represents a valuable tool in understanding the integrated response of plants to their environment and could serve as a benchmark for future phenotyping efforts as well as for modelling global change effects on both wild species and crops.
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|a Terrestrische Umwelt
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588 _ _ |a Dataset connected to Web of Science, Pubmed
650 _ 7 |a Biomass allocation
650 _ 7 |a dry matter percentage
650 _ 7 |a environment
650 _ 7 |a meta-phenomics
650 _ 7 |a plasticity
650 _ 7 |a response curve
650 _ 7 |a specific leaf area
650 _ 2 |2 MeSH
|a Botany: methods
650 _ 2 |2 MeSH
|a Databases, Factual
650 _ 2 |2 MeSH
|a Environment
650 _ 2 |2 MeSH
|a Light
650 _ 2 |2 MeSH
|a Phenotype
650 _ 2 |2 MeSH
|a Plant Leaves: chemistry
650 _ 2 |2 MeSH
|a Plant Leaves: physiology
650 _ 2 |2 MeSH
|a Plant Leaves: radiation effects
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a Biomass allocation
653 2 0 |2 Author
|a dry matter percentage
653 2 0 |2 Author
|a environment
653 2 0 |2 Author
|a meta-phenomics
653 2 0 |2 Author
|a plasticity
653 2 0 |2 Author
|a response curve
653 2 0 |2 Author
|a specific leaf area
700 1 _ |0 P:(DE-HGF)0
|a Niinemets, Ü.
|b 1
700 1 _ |0 P:(DE-Juel1)VDB2595
|a Walter, A.
|b 2
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700 1 _ |0 P:(DE-Juel1)143649
|a Fiorani, F.
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700 1 _ |0 P:(DE-Juel1)129402
|a Schurr, U.
|b 4
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773 _ _ |0 PERI:(DE-600)1466717-4
|a 10.1093/jxb/erp358
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856 7 _ |u http://dx.doi.org/10.1093/jxb/erp358
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915 _ _ |0 StatID:(DE-HGF)0010
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