Rice Flag Leaf Photosynthesis GWAS Results with 181 Accessions and 3.7 Million SNPs

A 2026 study by Awais Riaz integrates genomic and phenotypic data from 181 diverse rice accessions. The dataset likely contains results from genome-wide association studies (GWAS) using 3.7 million SNP markers to identify genomic regions and candidate genes associated with photosynthetic performance at the booting stage. It includes identified quantitative trait nucleotides (QTNs), candidate genes, and genomic prediction analyses.

Use Cases

• Identifying candidate genes for photosynthesis based on GWAS results and gene haplotype analysis.
• Training genomic prediction models for photosynthetic traits using the 44 common SNPs identified.
• Comparing photosynthetic performance across rice subpopulations using the light and carbon dioxide response data from five selected accessions.

Strengths

• Includes data from 181 diverse rice accessions representing six subpopulations.
• Analyses are based on a high-density marker set of 3.7 million SNP markers.
• Integrates multiple analytical models (MLMM, FarmCPU, BLINK) for QTN identification.

Limitations

• Row count and specific column definitions are unknown, requiring inspection after download.
• The dataset is small (75.7 KB), suggesting it contains summary results rather than raw phenotypic or sequence data.
• Column-level documentation is absent; field semantics must be inferred from the description.

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 05:36:30.