Abies beshanzuensis Seedling Responses to Shading Treatments

A research dataset from figshare investigates the impact of shading on the critically endangered conifer Abies beshanzuensis. Authored by Hongfei Lu and last updated in May 2026, it includes data on seedling morphology, physiology, and transcriptomic pathways under varying light conditions. The 2.0 MB document is shared under a CC-BY-4.0 license.

Use Cases

• Modeling optimal growth conditions for endangered conifer conservation based on shading intensity treatments.
• Analyzing gene expression pathways related to photosynthesis and stress response based on transcriptome profiling.
• Correlating physiological markers like antioxidant enzyme activity with morphological traits such as root architecture.
• Training models to predict plant health under environmental stress using integrated morphological and molecular data.

Strengths

• Dataset is focused on a critically endangered species with only three wild adult trees remaining, highlighting unique ecological significance.
• Integrates multiple data layers: morphology, physiology, and transcriptomics from a controlled shading experiment.
• License is clearly stated as CC-BY-4.0, facilitating open reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary file format is DOCX, which may require extraction or conversion for computational analysis.

Provenance

Source

figshare

Collection Method

Controlled experiment with seedlings subjected to multiple shading treatments, followed by phenotypic, physiological, and RNA-Seq transcriptome analysis.

Freshness

Last updated 2026-05-13 05:55:36; freshness should be verified.