Upgrading breeding value estimation in beef cattle

Fájlok
Dátum
Szerzők
Szabó, Ferenc
Szűcs, Márton
Tempfli, Károly
Donagh, Berry
Folyóirat címe
Folyóirat ISSN
Kötet címe (évfolyam száma)
Kiadó
Faculty of Agricultural and Food Sciences and Enviromental Management of the Debrecen University, Debrecen.
Absztrakt
Leírás
This paper gives a summary of the possibility for applying genomic information for breeding value estimation in beef cattle breeding. This process is called genomic prediction and is now widely used in dairy cattle globally as well as in some beef and sheep populations. The advantage of genomic prediction is a more accurate estimate of the genetic merit of an individual at a young age thereby facilitating greater annual genetic gain, predominantly through shorter generation intervals. Genomic predictions are more advantageous for sex-linked (e.g., milk yield), low heritability (e.g., fertility) and difficult-to-measure (e.g., feed intake) traits. The larger the reference population, on average, the more accurate the genomic predictions; additionally, the closer genetically the reference population is to the candidate population, the greater the accuracy of genomic predictions. Research is continuing on strategies to generate accurate genomic predictions using a reference population consisting of multiple breeds (and crossbred). Retrospective analysis of real-life data where genomic predictions have been operation for several years clearly shows a benefit of this technology.
Kulcsszavak
SNP information, genomic evaluation, beef cattle
Forrás
Hivatkozás