Integrated Omics Analysis of Organic Fertilizer Effects on Cassava Starch Synthesis

An integrated omics dataset from a study comparing organic and chemical fertilizer effects on cassava. The data likely contains agronomic traits, physiological indices, transcriptome, and metabolome analyses. Jiongyu Chen published the dataset on figshare under a CC-BY-4.0 license, last updated in June 2026.

Use Cases

• Compare crop yield and starch content outcomes based on fertilizer treatment type.
• Analyze relationships between leaf xylem cell area, photosynthetic assimilation, and root starch synthesis.
• Investigate stress-related pathways and gene expression changes linked to organic fertilizer application.
• Correlate metabolite levels, such as caffeoylshikimic acid, with starch synthesis mechanisms.

Strengths

• Dataset reports specific yield increases (13.72%-26.08%) and starch content increases (9.90%-11.21%) from the study.
• Integrates multiple data types: agronomic traits, physiological indices, transcriptome, and metabolome.
• Published 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.
• The dataset is small (24.3 KB), indicating limited scope or a summary table.

Provenance

Source

figshare

Collection Method

Generated from a controlled study comparing organic (chicken manure) and chemical fertilizer treatments on cassava.

Freshness

Last updated 2026-06-01 05:36:00; freshness should be verified.