Soybean Productivity and Rhizosphere Data from Organic-Inorganic Fertilization Experiment

A 662.0 KB dataset from a nutrient-equalized gradient substitution experiment comparing chemical fertilizer with 30%, 70%, and 100% organic fertilizer replacement. It contains measurements of soybean growth, rhizosphere soil properties, bacterial and fungal microbiomes, and metabolomes, authored by Jing Zhang and last updated on 2026-06-01. The data supports the finding that moderate organic-inorganic fertilization (30/70%) optimizes yield and soil health.

Use Cases

• Modeling the relationship between fertilization strategy and soybean yield based on plant height, root length, biomass, and nodulation data.
• Analyzing shifts in rhizosphere microbial community structure based on bacterial and fungal microbiome profiles under different treatments.
• Investigating correlations between soil metabolite pools (e.g., glycerophospholipids, flavonoids) and microbial functional guilds mentioned in the description.
• Comparing soil nutrient availability (pH, organic carbon, K, P, N) across chemical and organic fertilization regimes.

Strengths

• Data is from a controlled nutrient-equalized experiment comparing four specific treatments (CF, OF30, OF70, OF100).
• Includes integrated multi-omics measurements: plant phenotypes, soil chemistry, microbiome, and metabolome.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The dataset is small (662.0 KB), indicating a limited scope likely from a single experimental study.

Provenance

Source

figshare, authored by Jing Zhang.

Collection Method

Data from a nutrient-equalized gradient substitution fertilization experiment on soybean.

Time Range

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Freshness

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

Geography

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