TY - CHAP
T1 - Genomic selection in the Australian sheep industry
AU - Swan, Andrew
PY - 2012
Y1 - 2012
N2 - Many livestock industries around the world have invested heavily in research and development of genomic selection since it was first proposed by Meuwissen et al. in 2001. The basic idea is that if genomic tests with large numbers of markers are available, they can be used to genotype a "reference" population of animals which are also measured for a wide range of economically important traits. Marker effects on these traits can be estimated, establishing a genomic prediction which can then be applied to industry animals outside the reference population. In other words, once genomic prediction equations are developed from an appropriate resource flock, industry animals can be genotyped and a genomic prediction of their genetic merit can be made without the need to measure them. This use of genomic information allows more accurate selection at an earlier age and for traits which are hard to measure, therefore increasing selection response primarily by shortening generation interval. The first livestock species to capitalise on genomic selection in a significant way has been the dairy industry. In the past dairy sire selection has relied on expensive and lengthy progeny testing programs, with sires not achieving high accuracy estimated breeding values until their daughters have recorded lactations. Genomic predictions are now available on young bulls virtually from birth which are approaching the accuracies of progeny test breeding values (around 75%). With an appropriately designed breeding program to capitalise on this information it is possible to double current rates of genetic gain (Pryce and Daetwyler, 2011).
AB - Many livestock industries around the world have invested heavily in research and development of genomic selection since it was first proposed by Meuwissen et al. in 2001. The basic idea is that if genomic tests with large numbers of markers are available, they can be used to genotype a "reference" population of animals which are also measured for a wide range of economically important traits. Marker effects on these traits can be estimated, establishing a genomic prediction which can then be applied to industry animals outside the reference population. In other words, once genomic prediction equations are developed from an appropriate resource flock, industry animals can be genotyped and a genomic prediction of their genetic merit can be made without the need to measure them. This use of genomic information allows more accurate selection at an earlier age and for traits which are hard to measure, therefore increasing selection response primarily by shortening generation interval. The first livestock species to capitalise on genomic selection in a significant way has been the dairy industry. In the past dairy sire selection has relied on expensive and lengthy progeny testing programs, with sires not achieving high accuracy estimated breeding values until their daughters have recorded lactations. Genomic predictions are now available on young bulls virtually from birth which are approaching the accuracies of progeny test breeding values (around 75%). With an appropriately designed breeding program to capitalise on this information it is possible to double current rates of genetic gain (Pryce and Daetwyler, 2011).
KW - Genomics
KW - Animal Breeding
UR - http://agbu.une.edu.au/pig_genetics/pdf/2012/P3-%20Swan_Genomic%20selection%20sheep.pdf
UR - http://trove.nla.gov.au/version/187771631
M3 - Chapter
SN - 0646590065
SN - 9780646590066
T3 - Pig Genetics Workshop Notes
SP - 13
EP - 18
BT - 2012 AGBU Pig Genetics Workshop Notes
A2 - Hermesch, Susanne
A2 - Dobos, Kathryn
PB - University of New England, Animal Genetics and Breeding Unit
CY - Armidale, Australia
ER -