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Optimum number of marker loci for estimating outcrossing in plant populations

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Summary

For the measurements of outcrossing rates in plant populations, current electrophoretic procedures permit many loci to be scored per individual progeny. Given that the total experimental effort or cost is limited, the choice exists then between assaying a large number of loci on a restricted number of individuals, or assaying a large number of individuals at a few loci. Using simple models and the criterion of minimising the variance of the estimate, several factors which affect this choice are considered (levels of polymorphism, heterozygosity, linkage disequilibrium, pollen or outcrossing heterogeneity). The general conclusion is that the actual level of outcrossing is a major factor in determining experimental strategy. Maximum efficiency for estimating outcrossing in predominantly inbreeding plants comes from large samples assayed for few polymorphic loci. In contrast, in predominantly outcrossing plants, more loci should be assayed at the expense of sample size for improved statistical efficiency.

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Literature

  • Brown, A.H.D. (1979): Enzyme polymorphism in plant populations. Theor. Popul. Biol. 15, 1–42

    Google Scholar 

  • Brown, A.H.D.; Allard, R.W. (1970): Estimation of the mating system in open-pollinated maize populations using isozyme polymorphisms. Genetics 66, 133–145

    Google Scholar 

  • Brown, A.H.D.; Zohary, D.; Nevo, E. (1978): Outcrossing rates and heterozygosity in natural populations of Hordeum spontaneum Koch in Israel. Heredity 41, 49–62

    Google Scholar 

  • Elandt-Johnson, R.C. (1971): Probability Models and Statistical Methods in Genetics. New York: Wiley

    Google Scholar 

  • Green, A.G.; Brown, A.H.D.; Oram, R.N. (1980): Determination of outcrossing in a breeding population of Lupinus albus L. Z. Pflanzenzucht. 84, 181–191

    Google Scholar 

  • Jain, S.K. (1961): A note on the estimation of natural crossing by the maximum likelihood method. Ind. J. Genet. Plant Breed. 21, 146–148

    Google Scholar 

  • Harding, J.; Tucker, C.L. (1964): Quantitative studies on mating systems. 1. Evidence for the non-randomness of outcrossing in Phaseolus lunatus Heredity, 19, 369–381

    Google Scholar 

  • Horovitz, A.; Harding, J. (1972): Genetics of Lupinus V. Intraspecific variability for reproduction traits in Lupinus nanus. Bot. Gaz. 133, 155–165

    Google Scholar 

  • Morris, R.W.; Spieth, P.T. (1978): Sampling strategies for using female gametophytes to estimate heterozygosity in conifers. Theor. Appl. Genet. 51, 217–222

    Google Scholar 

  • Ritland, K.; Jain, S. (1981): A model for the estimation of outcrossing rate and gene frequencies using independent loci. Heredity, 47, 35–52

    Google Scholar 

  • Shaw, D.V.; Kahler, A.L.; Allard, R.W. (1981): A multilocus estimator of mating system parameters in plant populations. Proc. Nat. Acad. Sci. (USA) 78, 1298–1302

    Google Scholar 

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Communicated by R. W. Allard

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Shaw, D.V., Brown, A.H.D. Optimum number of marker loci for estimating outcrossing in plant populations. Theoret. Appl. Genetics 61, 321–325 (1982). https://doi.org/10.1007/BF00272848

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  • DOI: https://doi.org/10.1007/BF00272848

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