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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]
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.
Artificial selection – Breeding used to develop desired characteristics; Natural selection – Mechanism of evolution by differential survival and reproduction of individuals Sexual selection – Mode of natural selection involving the choosing of and competition for mates; Mutation – Alteration in the nucleotide sequence of a genome
Artificial selection is the controlled breeding of domestic plants and animals. Humans determine which animal or plant will reproduce and which of the offspring will survive; thus, they determine which genes will be passed on to future generations. The process of artificial selection has had a significant impact on the evolution of domestic ...
The development and spread of antibiotic resistant bacteria provides evidence that evolution due to natural selection is an ongoing process in the natural world. Natural selection is ubiquitous in all research pertaining to evolution, taking note of the fact that all of the following examples in each section of the article document the process.
Mouse from the Garland selection experiment with attached running wheel and its rotation counter. In 1993, Theodore Garland, Jr. and colleagues started a long-term experiment that involves selective breeding of mice for high voluntary activity levels on running wheels. [44] This experiment also continues to this day (> 105 generations). Mice ...
Here, simulations of evolution using evolutionary algorithms and artificial life started with the work of Nils Aall Barricelli in the 1960s, and was extended by Alex Fraser, who published a series of papers on simulation of artificial selection. [10] Artificial evolution became a widely recognised optimisation method as a result of the work of ...
It combines ecology, evolution, and genetics to understand the processes behind adaptation. [1] It is virtually synonymous with the field of molecular ecology . This contrasts with classical genetics , which works mostly on crosses between laboratory strains, and DNA sequence analysis , which studies genes at the molecular level.