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Selective breeding (also called artificial selection) is the process by which humans use animal breeding and plant breeding to selectively develop particular phenotypic traits (characteristics) by choosing which typically animal or plant males and females will sexually reproduce and have offspring together.
The existence of limits in artificial selection experiments was discussed in the scientific literature in the 1940s or earlier. [1] The most obvious possible cause of reaching a limit (or plateau) when a population is under continued directional selection is that all of the additive-genetic variation (see additive genetic effects) related to that trait gets "used up" or fixed. [2]
Tandem selection is a method of artificial selection in which useful traits are selected for sequentially. [1] For instance, one could select for both increased milk yield and increased milk fat content in cows via tandem selection by first selecting those with the best of one trait, production of high milk yield, and then when that trait is at a satisfactory level, by starting to select for ...
Therefore, only those with the highest index score are selected for breeding via artificial selection. This method has advantages over other methods of artificial selection, such as tandem selection, in that you can select for traits simultaneously rather than sequentially. Thereby, no useful traits are being excluded from selection at any one ...
The mechanisms of biological evolution that an EA mainly imitates are reproduction, mutation, recombination and selection. Candidate solutions to the optimization problem play the role of individuals in a population, and the fitness function determines the quality of the solutions (see also loss function).
Selection has a dual purpose: on the one hand, it can choose individual genomes from a population for subsequent breeding (e.g., using the crossover operator). In addition, selection mechanisms are also used to choose candidate solutions (individuals) for the next generation. The biological model is natural selection.
In computer science, truncation selection is a selection method used in evolutionary algorithms to select potential candidate solutions for recombination modeled after the breeding method. [2] In truncation selection the candidate solutions are ordered by fitness, and some proportion T% of the top fittest individuals are selected and reproduced ...
Artificial Selection and Selective Breeding are distinguished both by process and outcome. Artificial Selection is a process by which humans or other organisms, through a process of elimination or reproductive restriction, select which members of a population of organisms will reproduce. This process differs from Natural Selection in that the individuals selected to survive and reproduce do ...