• norsk
    • English
  • English 
    • norsk
    • English
  • Login
View Item 
  •   Home
  • Norges miljø- og biovitenskapelige universitet
  • Faculty of Biosciences (BioVit)
  • Master's theses (IHA)
  • View Item
  •   Home
  • Norges miljø- og biovitenskapelige universitet
  • Faculty of Biosciences (BioVit)
  • Master's theses (IHA)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Accuracy of Genome Wide EBVs : using three small breeds as reference population

Boison, Solomon Antwi
Master thesis
Thumbnail
View/Open
Boison, S.A. Master Thesis (UMB) - May 2012.pdf (2.934Mb)
URI
http://hdl.handle.net/11250/186032
Date
2012-08-21
Metadata
Show full item record
Collections
  • Master's theses (IHA) [318]
Abstract
Accuracy of genomic breeding values (GEBVs) is largely determined by the number of animals used in training and predicting marker effect. Thus in populations with limited number of animals, there are the need to combine populations or breeds to increase the reference population. The objective of this study was to investigate the accuracy of genomic selection using a single breed and multibreed reference population of the Austrian breeds Braunvieh, Grauvieh and Pinzgauer. Genomic relationship matrix (GBLUP) and Bayesian methods (Bayes-B and wgt.GBLUP) that increase the weight of certain important SNPs were used to predict marker effect. Accuracies were estimated using the 60 youngest bulls and calculated as the correlation between GEBV and published estimated breeding values (EBVs) for single breed and multibreed. Deregressed EBVs were used as phenotypes and a total of 10 traits were analysed. Accuracy of GEBV averaged across the 3 methods and the 10 traits for single breed ranged from 0.46 to 0.52. Two-way combined breed analysis gave an average accuracy of 0.46 and a three-way combined breed analysis was 0.45. Accuracies were not significantly different between methods; GBLUP, Bayes-B and wgt.GBLUP. Multibreed training set yielded maximum gain of about 17% in a both two and three -way analysis. However, on average combining 2 breeds increased accuracy by only 1.9% and a loss of 1.32% for a combination of 3 breeds. Combining breeds to increase the number of animals used in predicting marker effect and estimates GEBV for young bulls increased accuracy but this was not consistent across traits.
Description
European Masters in Animal Breeding and Genetics
Publisher
Norwegian University of Life Sciences, Ås

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit
 

 

Browse

ArchiveCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDocument TypesJournalsThis CollectionBy Issue DateAuthorsTitlesSubjectsDocument TypesJournals

My Account

Login

Statistics

View Usage Statistics

Contact Us | Send Feedback

Privacy policy
DSpace software copyright © 2002-2019  DuraSpace

Service from  Unit