Published April 9, 2025 | Version v1.0

Data & Analysis script for: Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availability

Authors/Creators

Contributors

Data collector:

  • 1. EDMO icon Julius Kühn-Institut – Federal Research Centre for Cultivated Plants
  • 2. ROR icon University of Hohenheim

Description

The Data and R_code provided here accompany the publication "Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availability" by Berauer et al. (2025) in the Journal Data In Brief (DOI: https://doi.org/10.1016/j.dib.2025.111545). For details on the methodological procedure and the study's background, please see the above-mentioned Data Article.

This data investigates the transgenerational memory effects of the photosynthetic efficiency (Vcmax and Jmax) of twelve agricultural winter wheat varieties exposed to increased carbon dioxide levels and reduced soil water availability. The data was measured within an experiment under highly controlled environmental conditions within climate chambers using the novel Dynamic Assimilation Technique (following Saathoff & Welles 2021).

The R-code can be used to process the photosynthesis raw data and calculate the ACi fits in a reproducible environment.

Files

ReadMe.pdf

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Additional details

Related works

Is described by
Data paper: 10.1016/j.dib.2025.111545 (DOI)

Dates

Created
2025-03-20
Repository was created

Software

Programming language
R

References

  • BJ Berauer, S Chaudhary, L Kottmann & AH Schweiger ; Data on transgenerational memory effects of photosynthetic efficiency of twelve wheat varieties under elevated carbon dioxide concentration and reduced soil water availability; Data In Bref (2025); https://doi.org/10.1016/j.dib.2025.111545