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

High-density linkage maps for two recombinant inbred line faba bean populations, phenotyped across multiple environments and years. The maps comprise 2,043 and 3,903 SNPs, anchored to a reference genome to identify 59 QTLs associated with morphology, yield, and resistance to Ascochyta fabae and Orobanche spp. The dataset was created by Lorena Barea and last updated in April 2026.

Use Cases

• Prioritize candidate genes for marker-assisted breeding based on identified QTL intervals and overlapping genomic regions.
• Analyze potential pleiotropic effects linking yield components with disease resistance traits.
• Cross-validate QTL stability by integrating these maps with previously reported QTL and GWAS data.
• Study the genetic architecture of complex agronomic traits in faba bean using the high-density SNP maps.

Strengths

• High-density maps with 2,043 and 3,903 SNPs provide improved resolution for QTL detection.
• 59 QTLs were identified from traits with high heritability and coherent phenotypic correlations, providing strong statistical power.
• QTL intervals were anchored to a reference genome (Vfaba_v2) to refine intervals and prioritize candidate genes.
• The study integrated data from multiple environments and years to identify stable QTLs.

Limitations

• The dataset is small (156.4 KB), suggesting limited scope or summary-level data rather than raw phenotypic/genotypic records.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-04-29 05:58:27