Proteomic Analysis of Drought Stress Impact on Three Barley Cultivars

1,057 differentially abundant proteins were identified in a proteomic analysis of three barley cultivars (Copeland, Synergy, Planet) subjected to field-based gradient water deficit experiments. The dataset, authored by Qingqing Qin and last updated in May 2026, links drought-induced changes in grain protein content and kernel weight to alterations in malt quality metrics like friability and β-glucan levels. An optimized malting process with extended steeping and germination was tested to partially alleviate these defects.

Use Cases

• Identify protein biomarkers for drought tolerance in barley based on the 1,057 differentially abundant proteins.
• Model the relationship between grain composition (e.g., glutenin, gliadin) and malt quality parameters (e.g., friability, β-glucan) under water stress.
• Optimize malting processes (e.g., steeping, germination time) to mitigate quality defects identified in drought-stressed barley.
• Perform pathway enrichment analysis (e.g., KEGG) on altered biological processes like zeatin biosynthesis and starch/sucrose metabolism.

Strengths

• Proteomic analysis identified 1,057 differentially abundant proteins, providing a molecular-level view.
• Experimental design includes three distinct barley cultivars and a tested malting process optimization.
• Dataset is small (123.4 KB) and in a widely accessible XLSX format for quick inspection.

Limitations

• Row count and specific column definitions are unknown, requiring manual inspection after download.
• The dataset's scope is limited to three specific barley cultivars under controlled field experiments.
• Column-level documentation is absent; field semantics must be inferred from the description.

Provenance

Source

figshare, author Qingqing Qin.

Collection Method

Field-based gradient water deficit experiments combined with proteomic analysis.

Freshness

Last updated 2026-05-22 09:14:04