Soybean Rhizosphere Microbiome and Metabolome Data Under Fertilization Treatments

A dataset from a nutrient-equalized gradient substitution experiment comparing chemical and organic fertilizer effects on soybean growth. The data includes measurements of plant traits, soil properties, bacterial and fungal microbiomes, and metabolomes. It was authored by Jing Zhang and last updated in June 2026.

Use Cases

• Modeling soybean yield based on rhizosphere microbiome composition and soil nutrient availability.
• Analyzing shifts in bacterial and fungal community diversity under different organic fertilizer substitution rates.
• Investigating correlations between specific soil metabolites (e.g., glycerophospholipids, flavonoids) and plant performance metrics like nodulation and nitrogenase activity.

Strengths

• Data originates from a controlled experiment comparing four distinct fertilization treatments (CF, OF30, OF70, OF100).
• The dataset integrates multiple data layers: plant physiology, soil chemistry, microbiome sequencing, and metabolomics.

Limitations

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

Provenance

Source

figshare

Collection Method

A nutrient-equalized gradient substitution experiment.

Freshness

Last updated 2026-06-01 04:19:01; freshness should be verified.