Wheat Defence and Cotton Bollworm Performance Under UV-B and Silicon Treatments

Sajjad Reyhani Haghighi's dataset contains raw data from a 2026 glasshouse experiment on wheat and cotton bollworms. The data includes plant measurements like silicon concentration, oxidative stress markers, and nutritional quality, alongside insect measurements of growth rate, oxidative stress, and energy reserves. The 32.4 KB XLSX file supports a published manuscript by Reyhani-Haghighi et al.

Use Cases

• Model the effects of UV-B radiation intensity on plant defence allocation based on phenolic-related defences and antioxidant capacity.
• Analyze the impact of silicon supplementation on insect herbivore performance based on relative growth rate and energy reserve measurements.
• Investigate interactions between herbivory, UV-B, and silicon on crop nutritional quality based on free amino acids, protein, and carbohydrate data.

Strengths

• Data originates from a fully factorial experimental design, allowing for analysis of interactive effects.
• Dataset includes a detailed README sheet explaining all treatment codes, which likely aids interpretation.
• Measurements cover both plant (e.g., foliar silicon, phenolics) and insect (e.g., growth rate, lipids) physiology.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's 32.4 KB size indicates a limited scope, suitable for focused studies but not for big-data applications.

Provenance

Source

figshare

Collection Method

Data collected from a fully factorial glasshouse experiment.

Freshness

Last updated 2026-05-16 09:52:40; freshness should be verified.