Expanded aus-NAM: Rice Genotype Data for Genomic Prediction

Rice (Oryza sativa) genotype data from an aus-derived nested association mapping population. The dataset comprises 14 biparental families sharing the common japonica parent Taichung 65, with data provided as filtered HapMap files and parental variants. Justine Kipruto Kitony authored this 74.3 MB dataset, last updated on 2026-04-22.

Use Cases

• Conduct genomic prediction based on genotyping-by-sequencing (GBS) and whole-genome sequence (WGS) data.
• Perform genome-wide association studies (GWAS) using high-density parental SNPs projected onto recombinant inbred lines.
• Evaluate the effects of marker density and training population size on prediction accuracy.
• Analyze genetic diversity and structure within an aus-derived nested association mapping (aus-NAM) population.

Strengths

• Includes data from 14 biparental families, providing genetic diversity.
• Offers multiple marker densities via projected high-density parental SNPs.
• Dataset size is 74.3 MB, indicating a manageable download.
• Data is licensed under CC-BY-4.0, permitting open reuse with attribution.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Genotyping-by-sequencing (GBS) data processed via the TASSEL-GBS pipeline and whole-genome sequencing (WGS) of parents.

Freshness

Last updated 2026-04-22 02:08:30; freshness should be verified.