Rice Flag Leaf Photosynthesis Genomic Associations from 181 Accessions

Genomic association data for flag leaf photosynthesis in rice, derived from 181 diverse accessions evaluated under controlled conditions. The dataset, created by Awais Riaz and last updated in April 2026, integrates genome-wide association studies using 3.7 million SNP markers to identify candidate genes and quantitative trait nucleotides. It includes results from multiple statistical models and subsequent gene mining and fine-mapping analyses.

Use Cases

• Prioritizing candidate genes for photosynthesis based on identified quantitative trait nucleotides and haplotype analysis
• Training genomic prediction models for photosynthetic traits using the 44 common SNPs identified across GWAS and RRB/BTS models
• Comparing photosynthetic performance and genetic variation across six rice subpopulations represented in the 181 accessions
• Investigating the role of specific gene families (e.g., receptor-like kinases, auxin-responsive genes) in photosynthetic efficiency

Strengths

• Data is derived from a large-scale evaluation across 181 genetically diverse rice accessions representing six subpopulations
• Analysis is based on a high-density marker set of 3.7 million single nucleotide polymorphism markers
• Candidate gene identification integrates results from three GWAS models (MLMM, FarmCPU, BLINK) and subsequent fine-mapping
• The dataset identifies 18 putative quantitative trait nucleotides and 43 genes suggested by haplotype analysis

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment for specific analytical tasks
• The 12.0 KB file size suggests the dataset is a summary or results table, not the raw phenotypic or genomic sequence data

Provenance

Source

figshare

Collection Method

Genome-wide association study (GWAS) integrating photosynthetic measurements from controlled conditions with genomic data.

Freshness

Last updated 2026-04-23 05:36:32; freshness should be verified