By H. J. Newbury
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Lupton), pp. 71–108. Chapman & Hall, London. C. (1986) Testing Statistical Hypotheses. John Wiley & Sons, New York. , Sasaki, T. & Yan, M. (2000) Characterisation and detection of epistatic interactions of 3 QTLs, Hd1, Hd2, and Hd3, controlling heading date in rice using nearly isogenic lines. Theoretical and Applied Genetics, 101,1021–1028. W. (1998) Detecting linkage disequilibrium between a polymorphic marker locus and a trait locus in natural populations. Heredity, 80, 198–208. W. J. (1992) Interval mapping of quantitative trait loci in an F2 population.
Hence, background selection is considered efficient only if it permits a return to the recipient genome faster than the normal return rate when no selection on markers is applied; the efficiency of MAS should always be compared to this normal rate as a reference. We need first to recall what is the normal rate of return expected with no background selection. 1 Expected genome contents with no selection On non-carrier chromosomes (chromosomes not hosting the target), the probability that any locus remains heterozygous donor/recipient after n backcrosses is (½) n.
Et al. (1994) The diastrophic dysplasia gene encodes a novel sulfate transporter: positional cloning by fine-structure linkage disequilibrium mapping. Cell, 78, 1073–1087. F. J. (1996) Towards developing inter-varietal substitution lines in Brassica napus using marker-assisted selection. Genome, 39, 348–358. J. W. (1995) QTL analysis: unreliability and bias in estimation procedures. Molecular Breeding, 1, 273–282. C. & Stam, P. (1994) High resolution of quantitative traits into multiple loci via interval mapping.
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