Rice Flag Leaf Photosynthesis Genomic Associations from 181 Accessions

A genomic dataset from a study evaluating photosynthetic performance across 181 diverse rice accessions. The data integrates photosynthetic measurements with genome-wide association studies using 3.7 million SNP markers to identify candidate genes and quantitative trait nucleotides. The dataset was authored by Awais Riaz and last updated in April 2026.

Use Cases

• Identify candidate genes for photosynthesis based on GWAS results and haplotype analysis mentioned in the description
• Perform genomic prediction for photosynthetic traits using the 44 common SNP markers identified across models
• Analyze photosynthetic variation across rice subpopulations based on light and carbon dioxide response curves
• Validate putative quantitative trait nucleotides (QTNs) associated with flag leaf photosynthesis

Strengths

• Includes data from 181 diverse rice accessions representing six subpopulations
• Uses 3.7 million high-quality single nucleotide polymorphism markers for analysis
• Integrates results from multiple GWAS models (MLMM, FarmCPU, BLINK) and genomic prediction methods

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Controlled experimental evaluation of photosynthetic performance integrated with genome-wide association studies.

Time Range

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Freshness

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

Geography

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