Rice Flag Leaf Photosynthesis GWAS Results for 181 Accessions

Awais Riaz published this dataset on 2026-04-23. It contains results from a genome-wide association study (GWAS) on photosynthetic performance in rice, integrating phenotypic measurements from 181 diverse accessions with 3.7 million SNP markers. The data includes identified quantitative trait nucleotides (QTNs), candidate genes, and genomic prediction analyses aimed at enhancing rice yield through breeding.

Use Cases

• Identify candidate genes for photosynthesis based on GWAS results and gene haplotype analysis.
• Validate SNP markers for genomic prediction of photosynthetic performance using ridge regression and bootstrap trees models.
• Compare photosynthetic variation across rice subpopulations using light and carbon dioxide response curve data from selected accessions.

Strengths

• GWAS analysis uses 3.7 million high-quality SNP markers for high-resolution mapping.
• Phenotypic evaluation covers 181 diverse rice accessions from six subpopulations under controlled conditions.
• Candidate gene list is derived from multiple analytical models (MLMM, FarmCPU, BLINK) and includes functional annotations.

Limitations

• Row count and specific column definitions are unknown, requiring inspection after download.
• The dataset is small (39.5 KB), suggesting it contains summary results rather than raw phenotypic or genomic sequence data.
• Column-level documentation is absent; field semantics must be inferred from the description.

Provenance

Source

figshare, author Awais Riaz

Collection Method

Integrative genomic analysis combining photosynthetic measurements from controlled conditions with genome-wide association studies.

Freshness

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