A computer simulation evaluation of the role of mutations in finite populations on the response to directional selection: The generations required to attain maximum genetic variance

1992 ◽  
Vol 84-84 (7-8) ◽  
pp. 995-1001
Author(s):  
M. D. Li ◽  
F. D. Enfield
Keyword(s):  
Computer Simulation ◽  
Genetic Variance ◽  
Directional Selection ◽  
Finite Populations ◽  
Simulation Evaluation

Computer simulation of within family selection in finite populations

1976 ◽  
Vol 48 (1) ◽  
pp. 45-51 ◽  
Author(s):  
S. S. Y. Young ◽  
R. V. Skavaril
Keyword(s):  
Computer Simulation ◽  
Family Selection ◽  
Finite Populations

scholarly journals Accuracy of Ranking Individuals in Field Tests of Different Designs: A Computer Simulation

2006 ◽  
Vol 55 (1-6) ◽  
pp. 70-77 ◽  
Author(s):  
Chang-Yi Xie ◽  
Y.-B. Fu ◽  
A. D. Yanchuk
Keyword(s):  
Computer Simulation ◽  
Genetic Variance ◽  
Block Design ◽  
Additive Genetic Variance ◽  
Field Tests ◽  
Incomplete Block ◽  
Single Tree ◽  
Incomplete Block Design ◽  
Variation Patterns ◽  
Site Variation

Abstract A computer simulation was conducted to investigate the accuracy of ranking individual trees in field tests of different designs. A test population that consists of 900 trees from 45 full-sib families generated by three 6-parent disconnected half-diallels was considered. One incomplete block design with single-tree plots and four complete block designs with 1, 2, 4, and 10-tree row plots were examined. Various narrow-sense heritabilities, site variation patterns (patch sizes and gradient slopes), and two levels of dominant to additive genetic variance ratios (0 and 0.30) were evaluated. Results indicate that the accuracy of ranking depends more on the heritability of the trait and less on the magnitude of the dominant genetic variance, site variation patterns, and field designs. With patchy site variation, differences in ranking accuracy were observed for different designs, but became smaller with higher heritabilities. Impact of environmental gradient on the accuracy of individual ranking was negligible. Incomplete block design with single-tree plots (ICB1) provided the most accurate ranking when heritability was low while complete block design with 2-tree plots (RCB2) appeared to be the best when heritability was high. Large row plot designs were among the least effective in all the simulated scenarios. For traits with medium heritabilities, the statistical efficiencies of ICB1 and RCB with 1 and 2-tree plots are comparable.

Computer simulation of the role of fibre orientation in cardioversion of chronic atrial fibrillation

2013 ◽  
Vol 46 (4) ◽  
pp. e6-e7
Author(s):  
S.R. Kharche ◽  
T. Stary ◽  
I.V. Biktasheva ◽  
H. Zhang ◽  
V.N. Biktashev
Keyword(s):  
Atrial Fibrillation ◽  
Computer Simulation ◽  
Fibre Orientation ◽  
Chronic Atrial Fibrillation

scholarly journals Quantitative genetic variability maintained by mutation-stabilizing selection balance: sampling variation and response to subsequent directional selection

1989 ◽  
Vol 54 (1) ◽  
pp. 45-58 ◽  
Author(s):  
Peter D. Keightley ◽  
William G. Hill
Keyword(s):  
Genetic Variance ◽  
Directional Selection ◽  
Quantitative Character ◽  
Stabilizing Selection ◽  
Effective Population ◽  
Selection Responses ◽  
Quantitative Genetic ◽  
Before And After ◽  
Cage Population ◽  
Selection Of

SummaryA model of genetic variation of a quantitative character subject to the simultaneous effects of mutation, selection and drift is investigated. Predictions are obtained for the variance of the genetic variance among independent lines at equilibrium with stabilizing selection. These indicate that the coefficient of variation of the genetic variance among lines is relatively insensitive to the strength of stabilizing selection on the character. The effects on the genetic variance of a change of mode of selection from stabilizing to directional selection are investigated. This is intended to model directional selection of a character in a sample of individuals from a natural or long-established cage population. The pattern of change of variance from directional selection is strongly influenced by the strengths of selection at individual loci in relation to effective population size before and after the change of regime. Patterns of change of variance and selection responses from Monte Carlo simulation are compared to selection responses observed in experiments. These indicate that changes in variance with directional selection are not very different from those due to drift alone in the experiments, and do not necessarily give information on the presence of stabilizing selection or its strength.

scholarly journals Rapid morphological divergence following a human-mediated introduction: the role of drift and directional selection

Heredity ◽  
2020 ◽  
Vol 124 (4) ◽  
pp. 535-549 ◽  
Author(s):  
Ashley T. Sendell-Price ◽  
Kristen C. Ruegg ◽  
Sonya. M. Clegg
Keyword(s):  
Directional Selection ◽  
Morphological Divergence
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