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ZENODO
Dataset . 2015
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2015
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2015
License: CC BY
Data sources: ZENODO
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Leaf responses to mild drought stress in natural variants of Arabidopsis.

Authors: Clauw; Coppens; De Beuf; Dhondt; Van Daele; Maleux; Storme; +3 Authors

Leaf responses to mild drought stress in natural variants of Arabidopsis.

Abstract

Plant growth and crop yield are negatively affected by a reduction in water availability. However, a clear understanding of how growth is regulated under non-lethal drought conditions is lacking. Recent advances in genomics, phenomics and transcriptomics allow in-depth analysis of natural variation. In this study, we conducted a detailed screening of leaf growth responses to mild drought in six Arabidopsis thaliana accessions. The raw phenotyping can be found in: - cellularData.txt -> mature (22 days after stratification; DAS) leaf epidermis (third leaf) analysed for cell area, cell number, pavement cell area, pavement cell number, stomatal index and leaf area of the analysed leaf. - leaf3_maturity.txt -> area of the third leaf at maturity (22DAs) in mm2. - leaf3_transition.txt -> area of the third leaf at transition (last day of cell proliferation; 11 DAS) in mm2. - rosetteArea.txt -> projected rosette area (mm2) over time (from 9-21DAS). The phenotyping results have been normalised for batch effects ('experiment' in raw data) and are found in cellularData_normalised.txt, leaf3_normalised.txt and rosetteArea_normalised.txt. Conversion from accession names (indiated as genotype in the data files) to the ID number used in the 1001genomes project (www.1001genomes.org) can be found in accessionIDs.txt. In each file 'C' indicates well-watered plants, while 'S' stand for mild-drought treatment. These results and methodological results are described in Clauw et al. (2015, Plant Physiology).

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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