Faba Bean QTL Maps for Morphology, Yield, and Disease Resistance
by Lorena Barea·Updated 1mo ago
157.2 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
59 stable quantitative trait loci (QTLs) for faba bean were identified using high-density linkage maps from two recombinant inbred line populations. The maps, comprising 2,043 and 3,903 SNPs, were anchored to a reference genome to refine intervals and prioritize candidate genes like transcription factors and signaling proteins. This dataset, authored by Lorena Barea and last updated in April 2026, provides a genomic framework for marker-assisted breeding.
Use Cases
Prioritizing candidate genes for marker-assisted selection based on overlapping genomic regions identified in the study.
Conducting colocalization analyses of QTLs for morphology, yield, and biotic resistance traits.
Validating previously reported QTL and GWAS data by projecting findings onto a physical reference genome.
Dataset is derived from two high-density linkage maps with 2,043 and 3,903 SNPs, providing improved resolution over previous studies.
QTL detection was supported by high heritability and coherent phenotypic correlations across multiple environments and years.
Integration with a reference genome refined 16 overlapping genomic regions containing between 2 and 596 genes 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 for large-scale analyses.
The dataset is small (157.2 KB), indicating a limited scope focused on summary QTL and gene mapping results rather than raw phenotypic or genotypic data.
Provenance
Source
figshare
Collection Method
High-density linkage maps were developed for two recombinant inbred line populations phenotyped across multiple environments and years, using the Vfaba_v2 Axiom SNP array.
Freshness
Last updated 2026-04-29 05:58:25; freshness should be verified.
Data is provided in an XLSX file format, requiring compatible software to open.