Summary
A general expression for gene number estimation which encompasses the conventional formula was derived. It provides a basis for gene number estimation from the data of recurrent selection experiments that are not of sufficient duration to measure total response to selection.
Gene number estimates are considerably more reliable when heritability is high. The effect of heritability on sampling variance is particularly important when gene number is large.
Generally the most effective ways of decreasing the variance of a gene number estimate will be 1) to increase the number of generations in a primary selection program, 2) to increase the number of generations in the two way selection program and 3) to increase population size.
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Literature
Castle, W.E.: An improved method of estimating the number of genetic factors concerned in cases of blending inheritance. Science 54, 223 (1921)
Comstock, R.E.: Number of genes affecting growth in mice. Genetic Lectures (Oregon State University) 1, 137–148 (1969)
Comstock, R.E.; Moll, R.H.: Genotype-environment interactions. Statistical Genetics and Plant Breeding. NAS-NRC p. 982 (1963)
Comstock, R.E.; Robinson, H.F.: The components of genetic variance in populations of biparental progenies and their use in estimating the average degree of dominance. Biometrics 4, 254–266 (1948)
Falconer, D.S.: Introduction to quantitative genetics. The Ronald Press Company 1960
Gates, C.E.: Discussion: Some considerations in variance component and partitioning methods of genetic analysis. Statistical Genetics and Plant Breeding. NAS-NRC p. 982 (1963)
Hill, W.G.: Estimation of realized heritability from selection experiments. I. Divergent selection. Biometrics 28, 747–765 (1972)
Hill, W.G.; Robertson, A.: The effect of linkage on limits to artificial selection. Genetical Research 8, 269–294 (1966)
Johnson, N.L.; Kotz, S.: Discrete distributions. Boston: Houghton-Mifflin 1969
Mather, K.; Jinks, J.L.: Biometrical genetics. Cornell University Press 1971
Powers, LeRoy: The Nature and interaction of genes differentiating habit of growth in a cross between varieties of Triticum vulgare. J. Agr. Res. 49, 573–605 (1934)
Powers, LeRoy: The partitioning method of genetic analysis and some aspects of its application to plant breeding. Statistical Genetics and Plant Breeding. NAS-NRC pp. 280–318 (1963)
Roberts, R.C.: The limits to artificial selection for body weight in the mouse. I. The limits attained in earlier experiments. Genet. Res. 8, 347–360 (1966)
Robertson, A.: The nature of quantitative genetic variation. In: Heritage from Mendel (ed. Brink, R.A.) pp. 265–280. University of Wis. Press 1967
Speickett, S.G.; Thoday, J.M.: Regular responses to selection: 3 Interaction between located polygenes. Genet. Res. 7, 96–121 (1966)
Thoday, J.M.: Location of polygenes. Nature 191, 368–370 (1961)
Thoday, J.M.; Boam, T.B.: Effects of disruptive selection. II. Polymorphism and divergence without isolation. Heredity 13, 205–208 (1959)
Wright, S.: The results of crosses between inbred stains of guinea pigs differing in number of digits. Genetics 19, 537–551 (1934)
Wright, S.: The genetics of quantitative variability. Quantitative Inheritance (eds. Reeve, E.C.R.; Waddington, C.H.) London: H.M.S.O. 1952
Wright, S.: Evolution and the Genetics of populations. Genetics and Biometric Foundations, Vol. 1. The University of Chicago Press 1968
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Communicated by R.W. Allard
From a thesis submitted by the author in partial fulfillment of the requirements for the Ph.D. degree. Received March, 1975. Work supported by Public Health Service Grant GM 16074, by the Minnesota Agricultural Experiment Station and by National Institutes of Environmental Health Sciences Grant No. 5T32 ES07011-02.
Former Research Assistant, Genetics and Cell Biology, University of Minnesota; Currently Post-doctoral Fellow in Environmental Health Measurement and Statistics.
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Park, Y.C. Theory for the number of genes affecting quantitative characters. Theoret. Appl. Genetics 50, 153–161 (1977). https://doi.org/10.1007/BF00277736
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DOI: https://doi.org/10.1007/BF00277736