Grapevine Berry Texture and Seed Development QTL Mapping Data

An F1 population of 200 grapevine individuals was phenotyped for berry color, weight, 28 texture-related traits, seed number, and 11 seed morphology parameters. High-density pseudo-testcross genetic maps for two parent cultivars contain 1,223 and 1,238 SNP markers, with QTL analysis revealing loci explaining up to 65.49% of phenotypic variation. The dataset, authored by Chiara Biselli and last updated in May 2026, provides a foundation for dissecting the genetic architecture of berry mechanical properties and defective seed development.

Use Cases

• Identify candidate genes for berry texture traits based on QTL regions on chromosome 18.
• Study the polygenic nature of berry mechanical properties using combined minor-effect QTLs.
• Investigate the link between seed development status and berry softening during ripening using joint phenotyping data.
• Validate SNP markers for marker-assisted selection in grapevine breeding programs.

Strengths

• Phenotypic data includes 28 texture-related traits and 11 seed morphology parameters for 200 individuals.
• Genetic maps are high-density, comprising over 1,200 SNP markers each for two parent cultivars.
• QTL analysis identified loci with high LOD scores up to 45 and explained phenotypic variation up to 65.49%.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's small size (102.3 KB) indicates limited scope, likely containing summary statistics rather than raw genotype/phenotype matrices.

Provenance

Source

figshare

Collection Method

Derived from an F1 population phenotyped for berry and seed traits and genotyped via Single Primer Enrichment Technology (SPET).

Freshness

Last updated 2026-05-15 05:48:19; freshness should be verified.