Python package for breeding-program simulation and multi-objective optimization. Long Description (required)
PyBrOpS provides modular tools for simulating breeding pipelines and optimizing breeding decisions across multiple objectives, supporting in-silico exploration of breeding strategies and genetic-gain tradeoffs. breeding simulation; multi-objective optimization; genomic selection; quantitative genetics; Python; MIT https://rzshrote.github.io/pybrops/
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
Every sub-attribute is selected Not all sub-attributes are selectedFill Clear Expand Collapse Reset
Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
Can't Find the Attribute You Are Looking For? If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the Additional Comment box of the Submit tab .
Summary of Proposed Changes Current Citations/Applications