GEA-R 4.1: Genotype x Environment Analysis for Agricultural Experimentation

A statistical software package for analyzing genotype-by-environment interactions in agricultural trials. The tool implements methods like AMMI, SREG, PLS, and factorial regression to identify superior genotypes for specific environments. It was authored by Ángela Pacheco and is hosted on the paperswithcode platform.

Use Cases

• Identifying superior genotypes for specific target environments based on the described GEI analysis.
• Conducting stability analysis of crop varieties across diverse testing sites as mentioned in the description.
• Applying additive main effect and multiplicative interaction (AMMI) analysis to partition variance components.
• Using site regression (SREG) or factorial regression models to understand environmental effects on genotype performance.

Strengths

• Description explicitly lists several established statistical methods (AMMI, SREG, PLS, Stability analysis, Factorial regression).
• Focuses on a well-defined agricultural research problem: genotype-by-environment interaction.

Limitations

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

Provenance

Source

Ángela Pacheco

Collection Method

Likely developed as a statistical software tool for agricultural research.

Time Range

null

Freshness

Last updated date is unknown.

Geography

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