PMID: 11325188Apr 28, 2001Paper

Predicting rates of inbreeding for livestock improvement schemes

Journal of Animal Science
Piter BijmaJohn A Woolliams

Abstract

This article presents a deterministic method to predict rates of inbreeding (deltaF) for typical livestock improvement schemes. The method is based on a recently developed general theory to predict rates of inbreeding, which uses the concept of long-term genetic contributions. A typical livestock breeding population was modeled, with overlapping generations, BLUP selection, and progeny testing of male selection candidates. Two types of selection were practiced: animals were either selected by truncation on estimated breeding values (EBV) across age classes, or the number of parents selected from each age class was set to a fixed value and truncation selection was practiced within age classes. Bulmer's equilibrium genetic parameters were obtained by iterating on a pseudo-BLUP selection index and deltaF was predicted for the equilibrium situation. Predictions were substantially more accurate than predictions from other available methods, which ignore the effect of selection on deltaF. Predictions were accurate for schemes with up to 20 sires. Predicted deltaF was somewhat too low for schemes with more than 20 sires, which was due to the use of simple linear models to predict genetic contributions. The present method provides a co...Continue Reading

Citations

Apr 14, 2007·Journal of Dairy Science·E López de MaturanaJ A M van Arendonk
Mar 24, 2012·Animal : an International Journal of Animal Bioscience·J FernándezA Mäki-Tanila
Jul 14, 2011·Journal of Animal Breeding and Genetics = Zeitschrift Für Tierzüchtung Und Züchtungsbiologie·A MorenoB Nieto
Jan 1, 2009·Animal : an International Journal of Animal Bioscience·R TeegenG Thaller
Jun 30, 2016·Heredity·J WangA Caballero
Jan 25, 2021·Journal of Animal Breeding and Genetics = Zeitschrift Für Tierzüchtung Und Züchtungsbiologie·Henner SimianerTorsten Pook

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