Soybean Hundred-Seed Weight QTL and Genomic Selection Data from a Four-Way RIL Population

A dataset from a study analyzing the genetic basis of hundred-seed weight in soybean. It includes results from a four-way recombinant inbred line population of 144 lines, with 16 QTLs and 40 QTNs identified across multiple environments. The data was authored by Shuchao Liu and last updated on 2026-04-23.

Use Cases

• Identifying candidate genes for seed weight based on co-localization analysis and haplotype effect evaluation mentioned in the description
• Training genomic selection models for seed weight prediction based on the reported evaluation of LightGBM and other models
• Simulating breeding programs to pyramid superior allelic variants based on the hybrid combinations identified in the study

Strengths

• Data is derived from a four-way recombinant inbred line population of 144 lines, which likely enhances allelic diversity compared to biparental populations
• Analysis integrated results from five multi-locus GWAS models and was validated across multiple environments
• Includes a prioritized candidate gene (Glyma.02G047200) with supporting haplotype and expression analysis

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The primary data file is a 9.2 MB DOCX document, which may require parsing to extract structured data

Provenance

Source

figshare

Collection Method

Data likely generated from genetic mapping, genome-wide association studies, and genomic selection modeling on a soybean population.

Freshness

Last updated 2026-04-23 05:26:38; freshness should be verified