Computational protocol: Isoprene improves photochemical efficiency and enhances heat dissipation in plants at physiological temperatures

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Protocol publication

[…] On each collected data-point, and for each parameter, measurements were repeated on six different leaves of different plants. Data are shown as ratios of values in non-emitting and isoprene-emitting leaves, as this helped to normalize the results (, ). The means of ratios ±standard errors were statistically separated over the temperature range by ANOVA, followed by Tukey’s test (P <0.05). Third-order polynomial best-fits were used to describe the sigmoidal increase of the ratio of NPQ in non-emitting/isoprene-emitting plants at increasing temperatures in poplar and tobacco.Absolute values of measured parameters are reported in Supplementary Table S1 at JXB online. Means ±standard errors, within each temperature treatment, were subjected to Student’s t test (*P <0.05 and **P <0.01) in order to identify the effect of isoprene. All statistical analyses were conducted using the SigmaPlot 12.0 software (SPSS; http://www.spss.com/). […]

Pipeline specifications

Software tools SigmaPlot, SPSS
Application Miscellaneous
Chemicals Chlorophyll, Nitrogen, Oxygen