Rice Flag Leaf Photosynthesis Genomic Associations for 181 Accessions

Awais Riaz published this dataset on 2026-04-23. It contains results from a genome-wide association study (GWAS) evaluating photosynthetic performance across 181 diverse rice accessions. The data integrates phenotypic measurements with 3.7 million SNP markers to identify candidate genes and genomic regions.

Use Cases

• Identifying candidate genes for photosynthesis based on GWAS results and quantitative trait nucleotides (QTNs).
• Training genomic prediction models for photosynthetic efficiency using the 44 common SNPs identified.
• Comparing photosynthetic variation across rice subpopulations using light and carbon dioxide response data.
• Prioritizing genes for functional validation from the list of 43 suggested by fine mapping and haplotype analysis.

Strengths

• Includes data from 181 diverse rice accessions representing six subpopulations.
• Uses 3.7 million high-quality SNP markers for genome-wide association analysis.
• Identifies 18 putative quantitative trait nucleotides (QTNs) with LOD ≥ 8.0.

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 (10.2 KB), suggesting it contains summary results rather than raw genomic or phenotypic measurements.

Provenance

Source

figshare, author Awais Riaz.

Collection Method

Integrative genomic analysis combining photosynthetic measurements from controlled conditions with GWAS using multiple models (MLMM, FarmCPU, BLINK).

Freshness

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