Approximate accuracy of dairy cattle evaluation from multiple lactation random regression model for Polish Black-and-White cattle

• Autorzy: Strabel T. , Jamrozik J.
• Języki publikacji: EN

Abstrakty

EN

A method is described to obtain approximate reliabilities for breeding values calculated with a multiple-lactation random regression test day model. The method was based on a concept of an equivalent number of progeny for animals with records, which is further used to derive reliabilities for related animals. The procedure accounted for the size of contemporary groups. Approximate reliabilities were calculated for estimated breeding values of the average milk yield in the first three lactations, using the data of daily milk yield of Polish Black-and-White cows in randomly selected herds. Results of approximation were analysed by comparison with corresponding exact reliabilities, obtained from the inverse of the coefficients matrix of the mixed model equations. High correlation of 0.98 for bulls between reliabilities from both methods and very low computer requirements facilitate the implementation of the approximate method into a routine genetic evaluation procedure.

• Wydawca: -
• Czasopismo: Journal of Animal and Feed Sciences
• Rocznik: 2006
• Tom: 15
• Numer: 2
• Opis fizyczny: p.187-193,fig.,ref.

Twórcy

autor

Strabel T.

• August Cieszkowski Agricultural University, Wolynska 33, 60-637 Poznan, Poland

autor

Jamrozik J.

Bibliografia

• Jamrozik J., Schaeffer L.R., Jansen G.B., 2000. Approximate accuracies of prediction from random regression models. Livest. Prod. Sci. 66, 85-92
• Koots K.R., Schaeffer L.R., Jansen G.B., 1997. Approximate accuracy of genetic evaluation under and animal model. J. Dairy Sci. 80, Suppl. 1, 226 (Abstr. P325)
• Meyer K., 1989. Approximate accuracy of genetic evaluation under an animal model. Livest. Prod. Sci. 21, 87-100
• Misztal I., Tsuruta S., Strabel T., Auvray B., Druet T., Lee D.H., 2002. BLUPF90 and related programs (BGF90). Proceedings of the 7th World Congress on Genetic Applied Livestock Production. Montpellier (France), p. 28
• Misztal I., Wiggans G.R., 1989. Approximation of prediction error variance in large-scale animal models. J. Dairy Sci. 71, Suppl. 2, 27-32
• Strabel T., Misztal I., Bertrand J.K., 2001. Approximation of reliabilities for multiple-trait model with maternal effects. J. Anim. Sci. 79, 833-839
• Strabel T., Szyda J., Ptak E., Jamrozik J., 2005. Comparison of random regression test-day models for Polish Black-and-White cattle. J. Dairy Sci. 88, 3688-369
• Tier B., Meyer K., 2004. Approximating prediction error covariances among additive genetic effects within animals in multiple-trait and random regression models. J. Anim. Breed. Genet. 121, 77-89
• Tier B., Schneeberger M., Hammond K., Fuchs W., 1991. Determining the accuracy of estimated breeding values in Multiple Trait Animal Models. Proceedings of the 9th AAABG Conference, pp. 239-242