Primary Research Article
Plant responses to elevated temperatures: a field study on phenological sensitivity and fitness responses to simulated climate warming
Version of Record online: 19 NOV 2013
© 2013 John Wiley & Sons Ltd
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Global Change Biology
Volume 20, Issue 2, pages 456–465, February 2014
How to Cite
Springate, D. A. and Kover, P. X. (2014), Plant responses to elevated temperatures: a field study on phenological sensitivity and fitness responses to simulated climate warming. Global Change Biology, 20: 456–465. doi: 10.1111/gcb.12430
- Issue online: 7 JAN 2014
- Version of Record online: 19 NOV 2013
- Accepted manuscript online: 15 OCT 2013 10:43AM EST
- Manuscript Accepted: 1 OCT 2013
- Manuscript Revised: 23 SEP 2013
- Manuscript Received: 11 JUL 2013
Table S1. P values (calculated using MCMC resampling) for all variables included in the general linear model run to determine the effect of elevated temperature (treatment), Genotype (Line), density, edge and plot.
Table S2. List of all QTL identified for traits measured, indicating chromosomal location (Chr), position in Kb and likelihood of QTL (log P). The estimated effect of having one of the 19 possible haplotypes at each of the QTLs is also listed under the columns with the parental accessions name. Accession number and more detail of each of these natural accessions available from Kover et al., 2009ab; . The largest allele effect, increasing the value of the trait, is underlined. The allele effect that causes the smallest trait value is highlighted in bold.
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