Multi-Model Analysis of Rice Culm Strength and Yield Stability Across Environments

A dataset containing results from a multi-environment trial evaluating recombinant inbred lines of rice for culm strength and grain yield. The analysis employed parametric and multivariate approaches, including AMMI, GGE, BLUPs, and multi-trait stability indices, to dissect genotype-by-environment interactions. The data was authored by Akshay Mamidi and published on figshare under a CC-BY-4.0 license in May 2026.

Use Cases

• Compare genotype stability rankings based on the Weighted Average of Absolute Scores (WAASB) method described.
• Identify high-yielding, stable rice lines using the Genotype Selection Index (GSI) mentioned in the analysis.
• Perform multi-trait selection for lodging resistance using the Multi-Trait Stability Index (MTSI) framework applied.
• Validate multi-model approaches (AMMI, GGE, BLUP) for analyzing genotype-by-environment interaction as demonstrated.

Strengths

• Dataset applies a multi-model analytical framework (AMMI, GGE, BLUP, MTSI) to a complex breeding problem.
• Analysis is based on a selected set of recombinant inbred lines derived from specific indica and tropical japonica cultivars.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (30.3 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Multi-environment trial (MET) of recombinant inbred lines (RILs) in transplanted and direct-seeded conditions.

Freshness

Last updated 2026-05-13 05:56:25; freshness should be verified.