Rice Flag Leaf Photosynthesis Genomic Data from 181 Accessions

Genomic and phenotypic data from a study of 181 diverse rice accessions evaluating flag leaf photosynthesis at the booting stage. The dataset includes genome-wide association study results using 3.7 million SNP markers, identifying putative quantitative trait nucleotides and candidate genes. It was authored by Awais Riaz and last updated in April 2026.

Use Cases

• Conducting genomic prediction for photosynthetic efficiency based on identified SNP markers.
• Identifying candidate genes for photosynthesis-related traits using the reported quantitative trait nucleotides.
• Analyzing phenotypic variation in photosynthetic light and CO2 response across rice subpopulations.
• Fine-mapping genomic regions associated with stomatal regulation and sugar transport mentioned in the description.

Strengths

• Includes data from 181 diverse rice accessions representing six subpopulations.
• Uses 3.7 million high-quality SNP markers for genome-wide association studies.
• Identifies 18 putative quantitative trait nucleotides and 43 candidate genes through a multi-model analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a 2.4 MB DOCX document, which may require extraction of structured data.

Provenance

Source

figshare

Collection Method

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

Freshness

Last updated 2026-04-23 05:36:28; freshness should be verified.