Published July 11, 2025 | Version v1
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Reflectance and Chlorophyll Fluorescence Data from Scots Pine Seedlings during a Long-Term Drought Experiment

Description

This dataset contains hyperspectral reflectance and chlorophyll fluorescence measurements from a long-term drought experiment conducted on Scots pine (Pinus sylvestris L.) seedlings. A total of 810 seedlings were subjected to either drought or irrigation treatments across a 164-day period. The experiment was carried out in a semi-controlled greenhouse environment.

Reflectance data were collected using a HC-900 Series visible hyperspectral scanner (351–898 nm, 480 bands, 1.03 mm² spatial resolution). Here we provide three physiologically relevant days:

Day 29 (pre-stress phase),
Day 88 (peak drought stress),
Day 158 (post-recovery phase).

Fluorescence parameters were collected on days closely aligned with hyperspectral acquisition:

Maximum quantum yield (QY_max) and non-photochemical quenching (NPQ) on days 28, 88, and 154,
Simple fluorescence ratio (SFR_R) on days 32, 88, and 154.

 

QY_max was calculated as (Fm−Fo)/Fm from dark-adapted measurements.
NPQ was determined using Fm and Fm′ values (NPQ = (Fm−Fm′)/Fm′).
SFR_R was calculated as the ratio of far-red to red fluorescence emission (735 nm / 685 nm) under red light excitation.

Files

NPQ_WL_ScotsPine.txt

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Additional details

Related works

Is described by
Publication: 10.1111/eva.70157 (DOI)

Funding

Ministry of Education Youth and Sports
Genetic variability of hyper-spectral reflectance in Scots pine ecotypes for selection of drought-resistant individuals INTER-EXCELLENCE, INTER-ACTION, LTAUSA19113
European Commission
PHOTOFLUX - Global assessment of plant photosynthesis optimization for climate change versus enhanced plant productivity 101041768

Software

References

  • Neuwirthová, E., Stejskal, J., Lhotáková, Z., Korecký, J., Čepl, J., Nikodem, A., ... & Lstibůrek, M. (2025). Drought Response and Genetic Variation in Scots Pine Seedlings' Provenances: Insights From High‐Throughput Phenotyping for Climate‐Resilient Forestry. Evolutionary Applications, 18(10), e70157.