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Publisert 2012

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Publikasjonsdetaljer

Tidsskrift : Journal of Animal Breeding and Genetics , vol. 129 , p. 188–194–7 , 2012

Internasjonale standardnummer :
Trykt : 0931-2668
Elektronisk : 1439-0388

Publikasjonstype : Vitenskapelig artikkel

Bidragsytere : Eikje, Leiv Sigbjørn; Schaeffer, L.R.; Ådnøy, Tormod; Klemetsdal, Gunnar; Ødegård, Jørgen

Sak : 3

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Kjetil Aune
Bibliotekleder
kjetil.aune@nofima.no

Sammendrag

A method of approximating estimated breeding values (EBV) from a multivariate distribution of true breeding values (TBV) and EBV is proposed for use in large-scale stochastic simulation of alternative breeding schemes with a complex breeding goal. The covariance matrix of the multivariate distributions includes the additive genetic (co)variances and approximated prediction error (co)variances at different selection stages in the life of the animal. The prediction error (co)variance matrix is set up for one animal at a time, utilizing information on the selection candidate and its offspring, the parents, as well as paternal and maternal half- sibs. The EBV are a regression on TBV taking individual uncertainty into account, but with additional ‘free’ variation drawn at random. With the current information included in the calculation of the
prediction error variance of a selection candidate, it is concluded that the method can be used to optimize progeny-testing schemes, where the progeny-tested sires are utilized with large progeny groups, e.g. through artificial insemination.