Genomic Associations for Rice Flag Leaf Photosynthesis in 181 Accessions

A dataset from figshare by Awais Riaz, last updated in April 2026. It contains results from a genome-wide association study (GWAS) evaluating photosynthetic performance across 181 diverse rice accessions under controlled conditions. The study integrated phenotypic measurements with 3.7 million SNP markers to identify candidate genes and genomic regions.

Use Cases

• Identify candidate genes for photosynthesis based on GWAS-derived quantitative trait nucleotides (QTNs).
• Perform genomic prediction for photosynthetic efficiency using the 44 common SNP markers identified.
• Compare photosynthetic variation across rice subpopulations using light and carbon dioxide response data.
• Study the genetic basis of stomatal regulation and leaf development through associated auxin-responsive and sugar transporter genes.

Strengths

• Includes data from 181 diverse rice accessions representing six subpopulations.
• GWAS analysis was performed using 3.7 million high-quality SNP markers.
• Identified 18 putative QTNs and 43 candidate genes through fine mapping and haplotype analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (231.4 KB), indicating it contains summary results rather than raw genomic or phenotypic measurements.

Provenance

Source

figshare, author Awais Riaz.

Collection Method

Integrative genomic study combining photosynthetic measurements from flag leaves at the booting stage with genome-wide association studies (GWAS).

Freshness

Last updated 2026-04-23 05:36:29; freshness should be verified.