Abstract
This paper presents theory and methods to compute genotypic means and covariances in a two breed population under dominance inheritance, assuming multiple unlinked loci. It is shown that the genotypic mean is a linear function of five location parameters and that the genotypic covariance between relatives is a linear function of 25 dispersion parameters. Recursive procedures are given to compute the necessary identity coefficients. In the absence of inbreeding, the number of parameters for the mean is reduced from five to three and the number for the covariance is reduced from 25 to 12. In a two-breed population, for traits exhibiting dominance, the theory presented here can be used to obtain genetic evaluations by best linear unbiased prediction and to estimate genetic parameters by maximum likelihood.
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Communicated by E. J. Eisen
Supported in part by the Illinois Agricultural Experiment Station, Hatch Projects 35-0345 (R.L.F.) and 35-0367 (M.G.). A computer program implementing the methods described here is available upon request to R.L.F.
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Lo, L.L., Fernando, R.L., Cantet, R.J.C. et al. Theory for modelling means and covariances in a two-breed population with dominance inheritance. Theoret. Appl. Genetics 90, 49–62 (1995). https://doi.org/10.1007/BF00220995
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DOI: https://doi.org/10.1007/BF00220995