Alfalfa Metabolite Profiles Across Eight Germplasms and Three Tissues

A targeted metabolomics dataset quantifies 60 non-volatile metabolites in alfalfa. The data includes absolute quantities for amino acids, catechins, flavonoids, and other compounds across stem, leaf, and flower tissues of eight distinct germplasms. The dataset was created by Tianhui Yang and last updated in April 2026.

Use Cases

• Classifying alfalfa tissues based on metabolite profiles for taste characteristics like umami or bitterness.
• Identifying germplasm-specific metabolic markers, such as high EGCG content in the '35zg' germplasm.
• Screening differential non-volatile metabolites for quality component optimization in alfalfa breeding.
• Developing characteristic herbal tea products based on quantified catechin and flavonoid content.

Strengths

• Quantifies 60 specific metabolites, including 43 identified as alfalfa-associated quality markers.
• Provides absolute quantification for six catechin components, with EGCG content measured at 0.241 mg/g.
• Compares metabolite profiles across three distinct plant tissues (stem, leaf, flower) and eight germplasms.

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 (57.1 KB), indicating a limited scope of observations.

Provenance

Source

figshare

Collection Method

Targeted metabolomics using UHPLC-Q Exactive-MS technology.

Time Range

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Freshness

Last updated 2026-04-23 13:17:38; freshness should be verified.

Geography

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