Rice Flag Leaf Photosynthesis Genomic Associations from 181 Accessions

A 2026 study by Awais Riaz integrates photosynthetic measurements from 181 diverse rice accessions with genome-wide association studies using 3.7 million SNP markers. The dataset identifies 18 putative quantitative trait nucleotides and 43 candidate genes associated with photosynthesis, including those for stomatal regulation and leaf development. It provides resources for genomics-assisted breeding to enhance rice yield.

Use Cases

• Identify candidate genes for photosynthesis based on GWAS results from 3.7 million SNP markers.
• Perform genomic prediction for photosynthetic traits using the 44 common SNPs identified across multiple models.
• Compare photosynthetic performance (light response, CO2 response) across diverse rice subpopulations.

Strengths

• Includes data from 181 diverse rice accessions representing six subpopulations.
• Analyses are based on 3.7 million high-quality single nucleotide polymorphism (SNP) markers.
• Identifies 18 putative quantitative trait nucleotides (QTNs) and 43 candidate genes through integrated genomic approaches.

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 (22.6 KB), indicating limited raw data or summary-level results.

Provenance

Source

figshare

Collection Method

Controlled evaluation of photosynthetic performance integrated with genome-wide association studies (GWAS).

Freshness

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