Estimation of mating system parameters in plant populations using marker loci with null alleles |
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Authors: | H. A. Ross |
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Affiliation: | (1) Environmental Research Branch, Atomic Energy of Canada Research Company, Whiteshell Nuclear Research Establishment, R0E 1L0 Pinawa, Manitoba, Canada |
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Abstract: | Summary An Expectation-Maximization (EM)-algorithm procedure is presented that extends Cheliak et al. (1983) method of maximum-likelihood estimation of mating system parameters of mixed mating system models. The extension permits the estimation of the rate of self-fertilization (s) and allele frequencies (Pi) at loci in outcrossing pollen, at marker loci having recessive null alleles. The algorithm makes use of maternal and filial genotypic arrays obtained by the electrophoretic analysis of cohorts of progeny. The genotypes of maternal plants must be known. Explicit equations are given for cases when the genotype of the maternal gamete inherited by a seed can (gymnosperms) or cannot (angiosperms) be determined. The procedure can accommodate any number of codominant alleles, but only one recessive null allele at each locus. An example, using actual data from Pinus banksiana, is presented to illustrate the application of this EM algorithm to the estimation of mating system parameters using marker loci having both codominant and recessive alleles.Issued as AECL-8745 |
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Keywords: | Maximum-likelihood estimation Out-crossing rates EM algorithm ABO-like systems Null allele |
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