Power analysis of QTL detection in half-sib families using selective DNA pooling

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Asymptotic variances of QTL estimators with selective DNA pooling.

Investigation on QTL-marker linkage usually requires a great number of observed recombinations, inferred from combined analysis of phenotypes and genotypes. To avoid costly individual genotyping, inferences on QTL position and effects can instead make use of marker allele frequencies. DNA pooling of selected samples makes allele frequency estimation feasible for studies involving large sample s...

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In the goal of genetic improvement of livestock by marker assisted selection, we aim at reconstructing the haplotypes of sires from their offspring. We reformulated this problem into a binary weighted constraint satisfaction problem. Our results showed these problems have a small treewidth and can be solved optimally, improving haplotype reconstruction compared to previous approaches especially...

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Novel linkage mapping approach using DNA pooling in human and animal genetics. II. Detection of quantitative traits loci in dairy cattle.

Selective DNA pooling is an advanced methodology for linkage mapping of quantitative trait loci (QTL) in farm animals. The principle is based on densitometric estimates of marker allele frequency in pooled DNA samples of phenotypically extreme individuals from half-sib, backcross and F(2) experimental designs in farm animals. This methodology provides a rapid and efficient analysis of a large n...

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selection of drought-tolerant half-sib families in sugar beet

one of the most effective ways to deal with drought stress and increase water use efficiency is the development of drought-tolerant varieties which display less reduction in yield per unit water reduction. therefore, the breeding of diploid pollinators was considered as an essential measure for producing drought-tolerant hybrids. in this study, from 4 diploid pollinator populations, 45 half-sib...

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ژورنال

عنوان ژورنال: Genetics Selection Evolution

سال: 2001

ISSN: 0999-193X,1297-9686

DOI: 10.1051/gse:2001118