Power of two- and three-generation QTL mapping experiments in an outbred population containing full-sib or half-sib families
1995
Beek, S. van der | Arendonk, J.A.M. van | Groen, A.F. (Wageningen Agricultural Univ. (Netherlands). Dept. of Animal Breeding)
QTL mapping experiments involve many animals to be genotyped and performance tested. Consequently, experimental designs need to be optimized to minimize the costs of data collection and genotyping. The present study has analyzed the power and efficiency of experiments with two- or three-generation family structures containing full-sib families, half-sib families, or both. The focus was on data from one outbred population because the main interest is to locate genes that can be used for within-line selection. For a two-generation experiment more animals had to be typed for marker loci to obtain a certain power than for a three-generation experiment. Fewer trait values, however, had to be obtained for a two-generation experiment than for a three-generation experiment. A two-or three-generation family structure with full-sib offspring was more efficient than a two- or three-generation family structure with half-sib offspring. A family structure with full-sib grand-offspring, however, was less efficient than a family structure with half-sib grand-offspring. For the mostefficient family structure each pair of parents had full-sib offspring that were genotyped for the marker. For the most-efficient family structure each full-sib offspring had half-sib grand-offspring for which trait values were obtained. For equal power with a heritability of 0.1 and 100 grand-offspring per full-sib offspring, 30-times less marker typings were required for this most efficient family structure than for a two-generation half-sib structure in which marker genotypes and trait values were obtained for half-sib offspring. The effect of heritability and the type of analysis (single marker or interval analysis) on the efficiency of a family structure is described.
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Эту запись предоставил ZB MED Nutrition. Environment. Agriculture