Genomic Regions and Candidate Genes for Flag Leaf Photosynthesis in 181 Rice Accessions

A 2026 study by Awais Riaz integrates photosynthetic measurements from 181 diverse rice accessions with genome-wide association studies using 3.7 million SNP markers. The dataset identifies 18 putative quantitative trait nucleotides and 43 candidate genes associated with photosynthesis, providing resources for genomic-assisted breeding. The analysis includes genomic prediction models and detailed photosynthetic response curves for five selected accessions.

Use Cases

• Identifying candidate genes for photosynthesis based on GWAS results and haplotype analysis.
• Training genomic prediction models for photosynthetic performance using ridge regression and bootstrap trees.
• Comparing photosynthetic variation (light response, CO2 response, NPQ) across rice subpopulations.
• Prioritizing SNP markers for marker-assisted selection in rice breeding programs.

Strengths

• Includes data from 181 diverse rice accessions representing six subpopulations.
• Uses 3.7 million high-quality SNP markers for genome-wide association studies.
• 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.
• The 50.1 KB file size suggests a summary or processed results table rather than raw genomic data.

Provenance

Source

figshare, author Awais Riaz.

Collection Method

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

Freshness

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