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Statistical techniques for detection of major genes in animal breeding data

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Summary

Statistical techniques for detection of major loci and for making inferences about major locus parameters such as genotypic frequencies, effects and gene action from field-collected data are presented. In field data, major genotypic effects are likely to be masked by a large number of environmental differences in addition to additive and nonadditive polygenic effects. A graphical technique and a procedure for discriminating among genetic hypotheses based on a mixed model accounting for all these factors are proposed. The methods are illustrated by using simulated data.

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Communicated by L. D. Van Vleck

Journal Paper No. J-12733 of the Iowa Agriculture and Home Economics Experiment Station, Ames, Iowa. Project No. 1901

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Hoeschele, I. Statistical techniques for detection of major genes in animal breeding data. Theoret. Appl. Genetics 76, 311–319 (1988). https://doi.org/10.1007/BF00257861

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  • DOI: https://doi.org/10.1007/BF00257861

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