Rice Flag Leaf Photosynthesis Genomic Associations from 181 Accessions

181 diverse rice accessions were evaluated for photosynthetic performance at the booting stage, with data integrated from genome-wide association studies using 3.7 million SNP markers. The dataset, authored by Awais Riaz and last updated in April 2026, identifies 18 putative quantitative trait nucleotides and 43 candidate genes associated with photosynthesis. It includes genomic prediction analyses from multiple models and detailed phenotypic response data for five selected accessions.

Use Cases

• Identify candidate genes for photosynthesis based on GWAS results and haplotype analysis.
• Validate genomic prediction models for photosynthetic traits using ridge regression and bootstrap trees.
• Compare photosynthetic variation across rice subpopulations using light and carbon dioxide response curves.
• Prioritize SNP markers for marker-assisted breeding programs aimed at enhancing rice yield.

Strengths

• Includes data from 181 genetically diverse rice accessions across six subpopulations.
• Integrates phenotypic measurements with high-density genomic data from 3.7 million SNP markers.
• Analysis identifies 18 putative QTNs and 43 candidate genes, providing specific genetic targets.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• The dataset is small (92.5 KB), suggesting it contains summary or processed results rather than raw sequencing or phenotypic measurements.

Provenance

Source

figshare, author Awais Riaz.

Collection Method

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

Freshness

Last updated 2026-04-23 05:36:34; freshness should be verified.