Metan

Metan analyzes multi-environment trial (MET) data to enable statistical evaluation of genotype-by-environment interactions and stability for plant breeding.

Key Features:

• Data Manipulation and Summarization: Provides functions to check, manipulate, and summarize typical MET datasets for downstream analysis.
• Modeling Approaches: Fits fixed and mixed-effect models for analyzing individual environments within METs.
• Stability Statistics: Computes parametric and non-parametric stability statistics to assess genotype performance across environments.
• Biometrical Models Implementation: Implements widely used biometrical models to explore genetic and environmental interactions affecting crop traits.
• Visualization Tools: Includes functions to plot typical MET data and visualize analysis results.

Scientific Applications:

• Genotype-by-Environment Interaction Analysis: Supports analysis of genotype-by-environment interactions in plant breeding trials.
• Stability and Adaptability Assessment: Enables identification of genotypes with high yield stability and adaptability across multiple environments using parametric and non-parametric metrics.
• Trait Evaluation Across Environments: Facilitates evaluation of crop trait performance across environments to inform selection decisions in breeding programs.

Methodology:

Workflow-based approach with functions for data checking, manipulation, and summary statistics; fitting fixed and mixed-effect models; computing parametric and non-parametric stability statistics; implementing biometrical models; and plotting MET data.