Rice Genotype Performance and Stability Across Transplanted and Direct-Seeded Environments

Akshay Mamidi published a dataset on May 13, 2026, analyzing phenotypic plasticity in rice. It contains results from a multi-model genotype × environment interaction analysis for grain yield and culm strength traits, using recombinant inbred lines derived from Swarna and IRGC 39111. The dataset includes stability assessments from AMMI, GGE, BLUPs, and multi-trait indices.

Use Cases

• Identify high-yielding, lodging-resistant rice lines based on multi-trait stability index (MTSI) results
• Compare genotype stability rankings derived from AMMI, GGE, and BLUP models
• Select broadly adapted genotypes for variable environments using WAASB and WAASBY stability metrics

Strengths

• Dataset employs a multi-model analytical approach (AMMI, GGE, BLUPs) for stability assessment
• Analysis includes a multi-trait selection index (MTSI) integrating yield and culm strength

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Phenotypic evaluation of recombinant inbred lines across transplanted and direct-seeded environments.

Freshness

Last updated 2026-05-13 05:56:28