Rice Flag Leaf Photosynthesis Genomic Associations from 181 Accessions

A genomic dataset integrates photosynthetic measurements from 181 diverse rice accessions with 3.7 million SNP markers. It identifies 18 putative quantitative trait nucleotides and 43 candidate genes associated with photosynthesis at the reproductive stage. The data was authored by Awais Riaz and last updated in April 2026.

Use Cases

• Prioritize candidate genes for photosynthesis based on GWAS-identified QTNs and haplotype analysis.
• Validate genomic prediction models using the 44 common SNPs identified across multiple analysis methods.
• Compare photosynthetic performance and genetic variation across six rice subpopulations.
• Investigate the role of specific gene families (e.g., receptor-like kinases, auxin-responsive genes) in photosynthetic efficiency.

Strengths

• Includes data from 181 diverse rice accessions representing six subpopulations.
• Uses 3.7 million high-quality SNP markers for genome-wide association studies.
• Integrates results from multiple GWAS models (MLMM, FarmCPU, BLINK) and genomic prediction methods.

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 (79.2 KB), indicating limited scope, likely containing summary results rather than raw phenotypic or sequence data.

Provenance

Source

figshare

Collection Method

Controlled physiological measurements integrated with genome-wide association studies (GWAS).

Freshness

Last updated 2026-04-23 05:36:35; freshness should be verified.