Summary
Current methods for the detection of loci affecting quantitative characters in Drosophila may be in error in two ways,
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i)
The detection of loci which do not exist.
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ii)
The magnification of the estimated effect of those major loci which do exist by accumulating to their effect those of undetected loci close to them on the chromosome.
This paper considers the magnitude of the second type of error and shows that the estimates of the effect of major loci may be too high by up to five times the standard error of measurement of each cross-over chromosome examined.
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References
Abramowitz, M, and Stegun, I A. 1965. Handbook of Mathematical Functions. Dover Publications, New York.
Davtes, R W. 1971. The genetic relationship of two quantitative characters in Drosophila melanogaster. II. Location of the effects. Genetics, 69, 363–375.
Thoday, J M. Gibson, J B, and Spickett, S G. 1964. Regular responses to selection. II. Recombination and accelerated response. Genet Res, Camb, 5, 1–19.
Scheffé, H. 1959. The Analysis of Variance. Wiley, New York.
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McMillan, I., Robertson, A. The power of methods for the detection of major genes affecting quantitative characters. Heredity 32, 349–356 (1974). https://doi.org/10.1038/hdy.1974.43
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DOI: https://doi.org/10.1038/hdy.1974.43
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