Rice Genotype-Environment Interaction Analysis for Culm Strength and Yield

A multi-model analysis dissects phenotypic plasticity for strong culm and grain yield traits in rice across direct-seeded and transplanted environments. The dataset includes results from evaluating recombinant inbred lines derived from Swarna and IRGC 39111 parents, employing AMMI, GGE, BLUPs, and multi-trait stability indices. Authored by Akshay Mamidi and last updated in May 2026, it supports the identification of stable, high-performing breeding lines.

Use Cases

• Identify broadly adapted rice genotypes based on stability indices like WAASB and WAASBY.
• Compare genotype performance for culm strength and grain yield across different cultivation environments.
• Apply multi-trait selection criteria using the Multi-Trait Stability Index (MTSI) for breeding program efficiency.
• Validate multi-model GxE analysis results by cross-referencing AMMI, GGE, and BLUP inferences.

Strengths

• Employs a multi-model approach combining AMMI, GGE, BLUPs, and MTSI for robust analysis.
• Focuses on a key agronomic trait (culm strength) for reducing lodging in rice.
• Dataset is openly licensed under CC-BY-4.0 for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 24.3 KB file size suggests a summary table rather than raw experimental data.

Provenance

Source

figshare

Collection Method

Analysis of multi-environment trials (METs) on recombinant inbred lines (RILs).

Freshness

Last updated 2026-05-13 05:56:21; freshness should be verified.