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Dynamic selection for maximizing response with constrained inbreeding in schemes with overlapping generations

Published online by Cambridge University Press:  18 August 2016

B. Grundy ,
B. Villanueva  and
J. A. Woolliams
B. Grundy
Affiliation:
Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG
B. Villanueva
Affiliation:
Scottish Agricultural College, West Mains Road, Edinburgh EH9 3JG
J. A. Woolliams
Affiliation:
Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS
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Abstract

A dynamic selection algorithm for maximizing annual genetic response while constraining the rate of inbreeding per generation in populations with overlapping generations is presented. The procedure gives the optimum number of individuals to be selected and the progeny they each produce. The solution to the problem was obtained by using BLUP estimated breeding values, the augmented numerator relationship matrix and lifetime breeding profiles. The procedure was able to constrain the rate of inbreeding per generation to a predefined level across generations of selection by considering all gene flow pathways. The optimization procedure represents an improvement on standard truncation BLUP selection, as it yielded substantially more genetic response (up to 35%) at the same rate of inbreeding.

Keywords

best linear unbiased predictionbreeding programmesinbreeding
Type
Breeding and genetics
Information
Animal Science , Volume 70 , Issue 3 , June 2000 , pp. 373 - 382
Copyright
Copyright © British Society of Animal Science 2000

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