Developing Quick Screening Method to Identify Rice Cultivars with Unique Aromatic Features

126 rice genotypes were evaluated for aroma using sensory analysis and targeted quantification of 164 volatile compounds. The dataset, authored by Heena Rani and last updated in June 2026, presents a rapid phenotyping framework for breeding programs. It integrates sensory and chemical data to resolve five distinct aroma classes, including popcorn-dominant and fruity-floral phenotypes.

Use Cases

• Identify rice cultivars with unique aromatic profiles based on sensory and chemical data.
• Train models to predict aroma intensity from volatile compound profiles.
• Cluster rice genotypes into distinct aroma classes based on integrated sensory and chemical data.
• Analyze the relationship between specific volatile compounds (e.g., 2AP, esters, alcohols) and perceived aroma quality.

Strengths

• Includes data from a diverse panel of 126 rice genotypes.
• Quantifies 164 volatile compounds per sample using HS-SPME-GC-MS/MS.
• Integrates quantitative sensory analysis with targeted chemical quantification.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific panel of 126 genotypes studied.

Provenance

Source

figshare

Collection Method

Sensory phenotyping of ground paddy rice coupled with targeted HS-SPME-GC-MS/MS quantification.

Freshness

Last updated 2026-06-01 20:43:33