Maximum likelihood analysis of quantitative trait loci under selective genotyping

Article Abstract:

Quantitative trait loci (QTL) and their maximum likelihood analysis under selective genotyping are discussed. A maximum-likelihood method of QTL mapping under selective genotyping has been developed. It uses only the phenotypic values of genotyped individuals and is good for situations where it is not possible to analyse all the data and use full maximum likelihood analysis. An expectation -maximization (EM ) algorithm has been derived. It seems to be a simple modification of the EM algorithm for standard interval mapping and can be readily put into standard QTL mapping software.

Finland, Software, Genotype, Genotypes, Mathematical software, Maximum likelihood estimates (Statistics), Simplex method, Simplexes (Mathematics)

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Further investigation on the regression method of mapping quantitative trait loci

Article Abstract:

The difference between the simple regression method and the maximum likelihood method for mapping quantitative trait loci (QTL) has been studied using simulation studies where heritabilities and dominant and/or missing markers are found. Improving the existing regression method in order to separate the pure environmental variance from residual variance while retaining high computing speed is one goal of the study discussed.

Statistics, Statistics (Data), Probabilities, Probability theory, Monte Carlo method, Monte Carlo methods, Least squares

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Efficiency of multistage marker-assisted selection in the improvement of multiple quantitative traits

Article Abstract:

Efficiency of multistage marker-assisted selection (MAS) is discussed as it relates to improvement of multiple quantitative traits and evaluated vs conventional phenotypic selection and marker-only selection in multistage selection for improvement of multiple traits. For MAS to be more effective it must decrease further the cost associated with molecular marker assays.

Economic aspects, Natural selection, Breeding

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