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000005324 084__ $$2WoS$$aPlant Sciences
000005324 1001_ $$0P:(DE-Juel1)129384$$aPoorter, H.$$b0$$uFZJ
000005324 245__ $$aA method to construct dose - response curves for a wide range of environmental factors and plant traits by means of a meta-analysis of phenotypic data
000005324 260__ $$aOxford$$bUniv. Press$$c2010
000005324 29510 $$aJournal of Experimental Botany (2010) 61 (8): 2043-2055
000005324 300__ $$a2043 - 2055
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000005324 440_0 $$03318$$aJournal of Experimental Botany$$v61$$x0022-0957$$y8
000005324 500__ $$aThis is an electronic version of an article published in: Journal of Experimental Botany, Vol. 61, No. 8, pp. 2043–2055, 2010.
000005324 500__ $$aRecord converted from JUWEL: 18.07.2013
000005324 500__ $$aWe 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Peter Ryser, Dylan Schwilk, Susanne Tittman, Jan Henk Venema, and Rafael Villar, for generously providing (partly) unpublished results for this analysis.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.
000005324 520__ $$aIn the past, biologists have characterized the responses of a wide range of plant species to their environment. As a result, phenotypic data from hundreds of experiments are publicly available now. Unfortunately, this information is not structured in a way that enables quantitative and comparative analyses. We aim to fill this gap by building a large database which currently contains data on 1000 experiments and 800 species. This paper presents methodology to generalize across different experiments and species, taking the response of specific leaf area (SLA; leaf area:leaf mass ratio) to irradiance as an example. We show how to construct and quantify a normalized mean light-response curve, and subsequently test whether there are systematic differences in the form of the curve between contrasting subgroups of species. This meta-analysis is then extended to a range of other environmental factors important for plant growth as well as other phenotypic traits, using >5300 mean values. The present approach, which we refer to as 'meta-phenomics', represents a valuable tool in understanding the integrated response of plants to their environment and could serve as a benchmark for future phenotyping efforts as well as for modelling global change effects on both wild species and crops.
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000005324 65320 $$2Author$$aBiomass allocation
000005324 65320 $$2Author$$adry matter percentage
000005324 65320 $$2Author$$aenvironment
000005324 65320 $$2Author$$ameta-phenomics
000005324 65320 $$2Author$$aplasticity
000005324 65320 $$2Author$$aresponse curve
000005324 65320 $$2Author$$aspecific leaf area
000005324 650_7 $$aBiomass allocation
000005324 650_7 $$adry matter percentage
000005324 650_7 $$aenvironment
000005324 650_7 $$ameta-phenomics
000005324 650_7 $$aplasticity
000005324 650_7 $$aresponse curve
000005324 650_7 $$aspecific leaf area
000005324 650_2 $$2MeSH$$aBotany: methods
000005324 650_2 $$2MeSH$$aDatabases, Factual
000005324 650_2 $$2MeSH$$aEnvironment
000005324 650_2 $$2MeSH$$aLight
000005324 650_2 $$2MeSH$$aPhenotype
000005324 650_2 $$2MeSH$$aPlant Leaves: chemistry
000005324 650_2 $$2MeSH$$aPlant Leaves: physiology
000005324 650_2 $$2MeSH$$aPlant Leaves: radiation effects
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000005324 7001_ $$0P:(DE-HGF)0$$aNiinemets, Ü.$$b1
000005324 7001_ $$0P:(DE-Juel1)VDB2595$$aWalter, A.$$b2$$uFZJ
000005324 7001_ $$0P:(DE-Juel1)143649$$aFiorani, F.$$b3
000005324 7001_ $$0P:(DE-Juel1)129402$$aSchurr, U.$$b4$$uFZJ
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000005324 8567_ $$uhttp://dx.doi.org/10.1093/jxb/erp358
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