AlphaSimR

AlphaSimR provides stochastic simulation of plant and animal breeding programs within the R environment to model genetic outcomes and evaluate breeding strategies for diploid and autopolyploid species.

Key Features:

• R integration: Implemented as an R package to perform simulations and analyses within the R programming environment.
• Stochastic simulation: Performs stochastic simulations of breeding programs to capture random genetic and demographic processes.
• Diploid and autopolyploid support: Simulates genetic architectures and breeding processes for both diploid and autopolyploid species.
• Flexible simulation design: Allows construction of a broad spectrum of breeding program designs without predefined constraints.
• Scripting-based customization: Uses a scripting approach that enables users to define custom simulation workflows and program components.
• Testing and evaluation: Supports evaluation of breeding strategies and hypothesis testing under varying genetic and environmental conditions.

Scientific Applications:

• Design and test breeding programs: Simulates proposed breeding program structures to predict outcomes and compare alternatives.
• Evaluate genetic strategies: Assesses genetic improvement strategies in plant and animal species, including crop improvement and livestock breeding.
• Optimize breeding decisions: Tests and optimizes selection, mating, and management strategies under specified genetic and environmental scenarios.
• Teaching breeding concepts: Demonstrates simulation-based breeding concepts and analyses for education and training purposes.

Methodology:

Scripting-based stochastic simulations executed in R that permit custom definition of breeding program components and scenarios for diploid and autopolyploid species to evaluate genetic and environmental effects.