Abstract
Predictions for the rate of inbreeding (DeltaF) in populations with discrete generations undergoing selection on best linear unbiased prediction (BLUP) of breeding value were developed. Predictions were based on the concept of long-term genetic contributions using a recently established relationship between expected contributions and rates of inbreeding and a known procedure for predicting expected contributions. Expected contributions of individuals were predicted using a linear model, u(i)(()(x)()) = alpha + betas(i), where s(i) denotes the selective advantage as a deviation from the contemporaries, which was the sum of the breeding values of the individual and the breeding values of its mates. The accuracy of predictions was evaluated for a wide range of population and genetic parameters. Accurate predictions were obtained for populations of 5-20 sires. For 20-80 sires, systematic underprediction of on average 11% was found, which was shown to be related to the goodness of fit of the linear model. Using simulation, it was shown that a quadratic model would give accurate predictions for those schemes. Furthermore, it was shown that, contrary to random selection, DeltaF less than halved when the number of parents was doubled and that in specific cases DeltaF may increase with the number of dams.
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Selected References
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- Belonsky G. M., Kennedy B. W. Selection on individual phenotype and best linear unbiased predictor of breeding value in a closed swine herd. J Anim Sci. 1988 May;66(5):1124–1131. doi: 10.2527/jas1988.6651124x. [DOI] [PubMed] [Google Scholar]
- Dempster E. R., Lerner I. M. Heritability of Threshold Characters. Genetics. 1950 Mar;35(2):212–236. doi: 10.1093/genetics/35.2.212. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Keightley P. D., Hill W. G. Directional selection and variation in finite populations. Genetics. 1987 Nov;117(3):573–582. doi: 10.1093/genetics/117.3.573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mendell N. R., Elston R. C. Multifactorial qualitative traits: genetic analysis and prediction of recurrence risks. Biometrics. 1974 Mar;30(1):41–57. [PubMed] [Google Scholar]
- Santiago E., Caballero A. Effective size of populations under selection. Genetics. 1995 Feb;139(2):1013–1030. doi: 10.1093/genetics/139.2.1013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wei M., Caballero A., Hill W. G. Selection response in finite populations. Genetics. 1996 Dec;144(4):1961–1974. doi: 10.1093/genetics/144.4.1961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Woolliams J. A., Bijma P. Predicting rates of inbreeding in populations undergoing selection. Genetics. 2000 Apr;154(4):1851–1864. doi: 10.1093/genetics/154.4.1851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Woolliams J. A., Bijma P., Villanueva B. Expected genetic contributions and their impact on gene flow and genetic gain. Genetics. 1999 Oct;153(2):1009–1020. doi: 10.1093/genetics/153.2.1009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wray N. R., Thompson R. Prediction of rates of inbreeding in selected populations. Genet Res. 1990 Feb;55(1):41–54. doi: 10.1017/s0016672300025180. [DOI] [PubMed] [Google Scholar]