Department of Genetics and Cell Biology, 270 Bioscience Center, University of Minnesota, 55108, St Paul, MN, USA.
Theor Appl Genet. 1992 Sep;84(7-8):995-1001. doi: 10.1007/BF00227416.
The role of mutations in finite populations on response to artificial selection was investigated by a computer simulation model designed to mimic the biological model of pupal weight of Tribolium. Given the model, the results showed that with selection about 25-55 generations were needed for genetic variances to reach a maximum value depending on population size, selection intensity, and gene number. When effective population size was larger than 40 or the intensity of selection was high (less than 50% selected), selection had a dramatic effect in reducing the time to approach the maximum point of genetic variance. Furthermore, the genetic variance after that point often declined as a function of selection instead of remaining at a steady state in the subsequent generations.
通过设计一个模拟三化螟蛹重生物学模型的计算机模拟模型，研究了有限群体中突变对人工选择反应的作用。根据该模型，结果表明，遗传方差达到最大值所需的世代数约为 25-55 代，具体取决于种群大小、选择强度和基因数量。当有效种群大小大于 40 或选择强度较高（选择比例小于 50%）时，选择对减少接近遗传方差最大值的时间具有显著影响。此外，达到该点后，遗传方差通常随着选择而下降，而不是在随后的世代中保持稳定状态。
