We give a general review of statistical methods for the detection of a major gene in controled populations and for the determination of reproducer genotypes at the major locus when such a gene has been detected. We show how to adapt these methods to the situation of a discrete trait, when the existence of an underlying normal distribution is assumed. Some simulations are made in order to give a first evaluation of the different methods. The main conclusion is that the usual tests developped in the continuous case cannot be used in the discrete situation, due to their very poor robustness to this type of deviation from normality. The adaptation of these methods to the discrete case improve largely their efficiency.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume XV. Beef cattle, sheep and pig genetics and breeding, fibre, fur and meat quality., , 37–49, 1990
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