Grapevine Berry Texture and Seed Development QTL Mapping Data

An F1 population of 200 grapevine individuals was phenotyped for 28 texture-related traits and 11 seed morphology parameters and genotyped via Single Primer Enrichment Technology (SPET). High-density genetic maps for two parent cultivars contain over 1,200 SNP markers each, revealing QTLs with LOD scores up to 45 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

• Identifying candidate genes for berry texture traits based on QTL regions on chromosome 18.
• Studying the polygenic nature of berry mechanical properties using the combined effects of minor-effect QTLs.
• Investigating the genetic link between seed development status and berry softening during ripening using joint phenotyping data.
• Validating SPET-based genetic maps for linkage analysis in other plant breeding populations.

Strengths

• Phenotypic data includes 28 texture-related traits and 11 seed size/morphology parameters for 200 individuals.
• Genetic maps comprise over 1,200 SNP markers each, providing high-density coverage.
• QTL analysis revealed loci with high LOD scores (up to 45) and explained phenotypic variation up to 65.49%.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small (102.3 KB), indicating limited scope, likely containing summary statistics or a subset of the full analysis.

Provenance

Source

figshare

Collection Method

Data derived from phenotyping and genotyping an F1 grapevine population, followed by QTL analysis.

Freshness

Last updated 2026-05-15 05:43:07; freshness should be verified.