Abstract
Genomic selection is based on breeding values predicted from a large
number of genetic marker effects across the whole genome. The marker
effects are estimated using a reference dataset, that contains known
marker genotypes and known phenotypic performance from typically
>2000 animals. This is one of the main challenges in genomic selection:
to estimate tens or hundreds of thousands of marker effects from a
limited number of phenotypic records. However, the major dairy
countries have methodologies developed, tested and implemented.
Total breeding values for juvenile selection candidates that have no
phenotypic records but known marker genotypes, are predicted as the
sum of the estimates corresponding to their marker genotypes. This
prediction already has a high accuracy early in life, and for instance
relaxes the requirement to progeny test dairy bulls before they are used
widely in the population. Costs of a breeding program are considerably
reduced, the generation interval is shortened drastically, and faster
genetic gains are achieved. This has a major impact on the outline of
breeding programs that apply genomic selection. Current developments
include extensions to multi-trait models, increasing the reference
populations, and increasing the numbers of SNPs used.
Original language | English |
---|---|
Title of host publication | Workshop Abstracts 14th Annual Conference of the European Society for Domestic Animal Reproduction (ESDAR), 15 - 18 September, 2010, Heger, Hungary |
Place of Publication | Berlin |
Publisher | Blackwell |
Pages | 52-52 |
Publication status | Published - 2010 |
Event | 14th Annual Conference of The European Society for Domestic Animal Reproduction (ESDAR), Eger, Hungary - Duration: 14 Sept 2010 → 18 Sept 2010 |
Conference/symposium
Conference/symposium | 14th Annual Conference of The European Society for Domestic Animal Reproduction (ESDAR), Eger, Hungary |
---|---|
Period | 14/09/10 → 18/09/10 |