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Journal of Dairy Science Vol. 85 No. 9 2358-2367
© 2002 by American Dairy Science Association ®
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Strategies for Continual Application of Marker-Assisted Selection in an Open Nucleus Population

A. Stella, M. M. Lohuis1, G. Pagnacco2 and G. B. Jansen

Department of Animal and Poultry Science, University of Guelph, Guelph, Ontario, Canada N1G 2W1

Corresponding author:
A. Stella; e-mail:
stella{at}itba.mi.cnr.it.

The objectives of this study were to develop and simulate the implementation of several strategies for repeated application of quantitative trait loci (QTL) detection and marker-assisted selection (MAS) and to compare the short-term and continual genetic responses. A finite locus model was simulated with 20 QTL randomly distributed across 30 chromosome. Three hundred markers were evenly spaced across the genome. Allelic effects were sampled from a double exponential distribution. A daughter design was used every generation to determine the marker alleles favorably associated to QTL alleles. The MAS was applied within family to young bulls, before progeny testing, as part of an open nucleus. Young bulls were selected using strategies based on 1) the single marker with greatest contrast (BEST1), 2) the sum of n greatest contrasts (BESTn), 3) the best n contrasts, limited to one per chromosome (LIMn), 4) the sum of all contrasts exceeding a given threshold n (THRESn), and 5) the sum of contrasts exceeding a threshold, but limited to one per chromosome (LIMT). The maximum progress was achieved by strategies that selected upon several markers flanking multiple QTL in each generation. When THRES was applied, the mean true breeding value (TBV) of selected bulls was increased by 11.98% (over conventional selection) versus 6.73% for BEST1 in the first generation. Applying a full genome scan in each generation allowed selection for different QTL across time. By selecting for multiple QTL over time, MAS maintained superiority over conventional selection for many generations.

Abbreviation key: BESTn = MAS based on the n markers with the greatest contrasts, GEN5 = five generations, LIMn = MAS based on the best markers on n chromosomes, LIMT = LIMn but using only markers that exceed a threshold, MAS = marker-assisted selection, NEW = new unrelated base population, SINGLE = single daughter design, TBV = true breeding value, THRES = MAS based on all markers that exceed a given threshold

Key Words: quantitative trait loci • marker-assisted selection • genetic response




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