Survivor Selection Operators#
Class Family Overview#
The SurvivorSelectionOperator
family of classes is used to select desired progenies and discard undesired progenies in a breeding program in the survivor selection step of the universal breeding algorithm. Survivor selection is extremely diverse. It may involve the selection of progenies based on phenotypes, genotypes, or combinations of the two. Additionally, there may be one or more traits under selection.
Summary of Survivor Selection Operators#
Survivor selection operators can be found in the pybropos.breed.op.ssel
module.
Class Name |
Class Type |
Class Description |
---|---|---|
|
Abstract |
Interface for all survivor selection operator classes. |
Survivor Selection Operator Properties#
Survivor selection operators do not have any required properties defined in the SurvivorSelectionOperator
interface.
Loading Class Modules#
Survivor selection operators can be imported as demonstrated in the code below.
# import the SurvivorSelectionOperator class (an abstract interface class)
from pybrops.breed.op.ssel.SurvivorSelectionOperator import SurvivorSelectionOperator
Defining Survivor Selection Operators#
Since breeding programs are incredibly diverse, it is the job of the user to define a survivor selection operator for his or her breeding program simulation. To do this, extend the SurvivorSelectionOperator
base abstract class and override the sselect
abstract method with the code defining the surivor selection operation. Below is an example of how to override the SurvivorSelectionOperator
class. For the purpose of this example, method code is left empty.
class MySurvivorSelectionOperator(SurvivorSelectionOperator):
def __init__(self, *args: tuple, **kwargs: dict) -> None:
"""
Constructor for custom SurvivorSelectionOperator
Parameters
----------
args : tuple
Any user defined arguments.
kwargs : dict
Any user defined keyword arguments.
"""
# user defined code
pass
def sselect(
self,
genome: dict,
geno: dict,
pheno: dict,
bval: dict,
gmod: dict,
t_cur: int,
t_max: int,
miscout: Optional[dict] = None,
**kwargs: dict
) -> tuple:
"""
Select progeny survivors in a breeding program.
Parameters
----------
genome : dict
Dictionary of genomes for the breeding program.
geno : dict
Dictionary of genotypes for the breeding program.
pheno : dict
Dictionary of phenotypes for the breeding program.
bval : dict
Dictionary of breeding values for the breeding program.
gmod : dict
Dictionary of genomic models for the breeding program.
t_cur : int
Current time in the breeding program.
t_max : int
Deadline time for the breeding program.
miscout : dict, None
Pointer to a dictionary for miscellaneous user defined output.
If ``dict``, write to dict (may overwrite previously defined fields).
If ``None``, user defined output is not calculated or stored.
kwargs : dict
Additional keyword arguments.
Returns
-------
out : tuple
A tuple of length 5: ``(genome, geno, pheno, bval, gmod)``
Where:
- ``genome`` is a ``dict`` of genomes for the breeding program.
- ``geno`` is a ``dict`` of genotypes for the breeding program.
- ``pheno`` is a ``dict`` of phenotypes for the breeding program.
- ``bval`` is a ``dict`` of breeding values for the breeding program.
- ``gmod`` is a ``dict`` of genomic models for the breeding program.
"""
# user defined code
return {}, {}, {}, {}, {}
Creating Survivor Selection Operators#
Since SurvivorSelectionOperator
classes are entirely user defined, object construction is entirely implementation dependent. There are no restrictions on how an SurvivorSelectionOperator
must be constructed and any number of arguments or keyword arguments may be used in the constructor. Below demonstrates the construction of the SurvivorSelectionOperator
defined above.
# create a survivor selection operator using constructor
sselop = MySurvivorSelectionOperator()
Survivor Selection for a Breeding Program#
To select survivors from a breeding program, use the sselect
method, which returns dictionaries of genomes, genotypes, phenotypes, breeding values, and genomic models for use in a breeding program simulation. The code below demonstrates the use of this method.
# select survivors for a breeding program
genome, geno, pheno, bval, gmod = sselop.sselect(
genome = {},
geno = {},
pheno = {},
bval = {},
gmod = {},
t_cur = 0,
t_max = 0,
)