Impact of young ewe fertility rate on risk and genetic gain in sheep-breeding programs using genomic selection
J. E. Newton A B C E , D. J. Brown B , S. Dominik C and J. H. J. van der Werf A D
+ Author Affiliations
- Author Affiliations
A School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia.
B Animal Genetics and Breeding Unit, Armidale, NSW 2351, Australia.
C CSIRO Agriculture, FD McMaster Laboratories, Armidale, NSW 2350, Australia.
D Cooperative Research Centre for Sheep Industry Innovation, Armidale, NSW 2341, Australia.
E Corresponding author. Email: jo.newton@ecodev.vic.gov.au
Animal Production Science 57(8) 1653-1664 https://doi.org/10.1071/AN15321
Submitted: 23 June 2015 Accepted: 15 April 2016 Published: 13 July 2016
Abstract
Genomic selection could be useful in sheep-breeding programs, especially if rams and ewes are first mated at an earlier age than is the current industry practice. However, young-ewe (1 year old) fertility rates are known to be lower and more variable than those of mature ewes. The aim of the present study was to evaluate how young-ewe fertility rate affects risk and expected genetic gain in Australian sheep-breeding programs that use genomic information and select ewes and rams at different ages. The study used stochastic simulation to model different flock age structures and young-ewe fertility levels with and without genomic information for Merino and maternal sheep-breeding programs. The results from 10 years of selection were used to compare breeding programs on the basis of the mean and variation in genetic gain. Ram and ewe age, availability of genomic information on males and young-ewe fertility level all significantly (P < 0.05) affected expected genetic gain. Higher young-ewe fertility rates significantly increased expected genetic gain. Low fertility rate of young ewes (10%) resulted in net genetic gain similar to not selecting ewes until they were 19 months old and did not increase breeding-program risk, as the likelihood of genetic gain being lower than the range of possible solutions from a breeding program with late selection of both sexes was zero. Genomic information was of significantly (P < 0.05) more value for 1-year-old rams than for 2-year-old rams. Unless genomic information was available, early mating of rams offered no greater gain in Merino breeding programs and increased breeding-program risk. It is concluded that genomic information decreases the risk associated with selecting replacements at 7 months of age. Genetic progress is unlikely to be adversely affected if fertility levels above 10% can be achieved. Whether the joining of young ewes is a viable management decision for a breeder will depend on the fertility level that can be achieved in their young ewes and on other costs associated with the early mating of ewes.
Additional keywords: maternal, Merino, stochastic simulation.
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