Microbiome and Metabolite Profiles of Corn Silage from 10 Dairy Farms

Microbiome and metabolomics data from whole-plant corn silage samples collected from 10 dairy farms. The dataset includes sensory scores, bacterial community structure, and concentrations of 14 core differential metabolites associated with off-flavor. It was authored by Zihui Wang and last updated on 2026-04-30.

Use Cases

• Correlating microbial community shifts with off-flavor formation based on sensory scores and bacterial abundances.
• Identifying key metabolites linked to feed quality based on concentrations of compounds like lactic acid, acetic acid, and phenylacetic acid.
• Modeling the relationship between spoilage bacteria and specific aroma compounds based on Spearman correlation results.

Strengths

• Integrates multiple data types: microbiome profiling, metabolomics via GC-MS, and sensory evaluation.
• Includes statistical significance (p-values) for differences in key nutritional and metabolic traits between sample groups.
• Identifies 14 core differential metabolites associated with the studied condition.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (15.2 KB), indicating limited scope.

Provenance

Source

figshare, author Zihui Wang

Collection Method

Samples from 10 dairy farms were analyzed using microbiome profiling and gas chromatography-mass spectrometry (GC-MS).

Freshness

Last updated 2026-04-30 05:39:53; freshness should be verified.

Geography

Likely specific to the locations of the 10 sampled dairy farms, but not explicitly stated.