Faba Bean QTL Maps for Morphology, Yield, and Disease Resistance

Lorena Barea published this dataset on 2026-04-29. It contains high-density linkage maps for two recombinant inbred line populations of faba bean (Vicia faba L.), phenotyped across multiple environments and years. The maps comprise 2,043 and 3,903 SNPs and were used to identify 59 QTLs associated with morphology, yield components, and resistance to Ascochyta fabae and Orobanche spp.

Use Cases

• Identify candidate genes for biotic resistance traits based on QTL intervals anchored to the reference genome.
• Perform colocalization analyses of QTLs for morphology and yield components across different genetic backgrounds.
• Validate stable loci associated with agronomic traits by integrating this QTL data with previously reported GWAS data.
• Prioritize transcription factors and signaling proteins for functional validation in marker-assisted breeding programs.
• Investigate potential pleiotropy linking yield components with disease resistance traits.

Strengths

• High-density maps comprising 2,043 and 3,903 SNPs, substantially improving resolution compared to previous studies.
• 59 QTLs identified from traits phenotyped across multiple environments and years, providing statistical power.
• QTL intervals anchored to a physical reference genome, enabling refined mapping and candidate gene prioritization.
• Integration with previously reported QTL and GWAS data revealed 16 overlapping genomic regions for cross-validation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect temporal and environmental bias inherent to the specific phenotyping experiments.

Provenance

Source

figshare

Collection Method

Developed from two recombinant inbred line populations phenotyped across multiple environments and years, using the Vfaba_v2 Axiom SNP array.

Freshness

Last updated 2026-04-29 05:58:20; freshness should be verified.