Research-Article| Volume 72, ISSUE 10, P2606-2614, October 1989

Influence of Nonadditive Effects on Estimation of Genetic Parameters in Dairy Cattle

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      A population was simulated having progeny that descended from sires and dams with various fractions of genes from two breeds. Additive breed effects and nonadditive effects from breed crosses were simulated.
      Data on performance were analyzed using mixed models that accounted for fixed additive genetic group effects and random sire effects. Three additive models, with genetic groups defined according to 1) breed composition of the progeny, 2) breed composition of the sire and the dam, or 3) linear regression on breed fraction of the progeny, were compared with a nonadditive model with a linear regression on breed fraction, heterozygosity and recombination in the genome of the progeny. Variance components were estimated using restricted maximum likelihood.
      Additive genetic variance and heritability were overestimated for an additive model with progeny groups. Additive models gave estimates for breed difference, group effects, and breeding values that were not equal to true additive genetic values. Breed differences were overestimated when sire groups were used. Estimators for each parameter were unbiased with the nonadditive model.


      1. Dickerson, G. E. 1973. Inbreeding and heterosis in animals. Page 54 in Proc. Anim. Breeding Genet. Symp. in Honor of Dr. J. L. Lush. Am. Soc. Anim. Sci. and Am. Dairy Sci. Assoc. Champaign. IL.

        • Ericson K.
        • Danell B.
        Crossbreeding effects between Swedish dairy breeds for production and reproduction traits.
        in: Proc. 37th Annu. Mtg. Eur. Assoc. Anim. Prod., 1986: 17
        • Fimland E.A.
        Methods of estimating the effect of heterosis.
        Z. Tierz. Zuchtungsbiol. 1983; 100: 3
      2. Gjøl-Christensen, L., and J. Pedersen. 1988. Krydsning af malkekvaegracer. 650 Beretning fra Statens Husdyrbrukforsøg, København.

        • Henderson C.R.
        Best linear unbiased prediction of nonadditive genetic merits in noninbred populations.
        J. Anim. Sci. 1985; 60: 111
        • Hill W.G.
        Dominance and epistasis as components of heterosis.
        Z. Tierz. Zuchtungsbiol. 1982; 99: 161
        • Hill W.G.
        • Edwards M.R.
        • Ahmed M.K.
        • Thompson R.
        Heritability of milk yield and composition at different levels and variability of production.
        Anim. Prod. 1983; 36: 59
        • Kinghorn B.
        The expression of recombination loss in quantitative traits.
        Z. Tierz. Zuchtungsbiol. 1980; 97: 138
        • Kinghorn B.
        Genetic effects in crossbreeding. I: Models of merit.
        Z. Tierz. Zuchtungsbiol. 1982; 99: 59
        • Maijala K.
        • Hanna M.
        Reliable phenotypic and genetic parameters in dairy cattle.
        Genet. Appl. Livest. Prod. 1974; 1: 541
        • Meyer K.
        Restricted maximum likelihood estimation of genetic parameters-in practice.
        Genet. Appl. Livest. Prod. 1986; 12: 454
        • Meyer K.
        Estimates of variances due to sire × herd interactions and environmental covariances between paternal half sibs for first lactation dairy production.
        Livest. Prod. Sci. 1987; 17: 95
        • Meyer K.
        Mixed model analysis when genetic and environmental groups are closely linked.
        Z. Tierz. Zuchtungsbiol. 1987; 104: 321
        • McAllister A.J.
        The role of crossbreeding in breeding programs for intensive milk production in temperate climates.
        Genet. Appl. to Livest. Prod. 1986; Vol IX: 47
        • McGloughin P.
        The relationship between heterozygosity and heterosis in reproductive traits of mice.
        Anim. Prod. 1980; 30: 69
        • Philipsson J.
        Standards and procedures for international genetic evaluations of dairy cattle.
        J. Dairy Sci. 1987; 70: 418
        • Pollak E.J.
        • Quaas R.L.
        Definition of group effects in sire evaluation models.
        J. Dairy Sci. 1983; 66: 1503
        • Schulte-Coerne H.
        • Boie D.
        Heterosis in crosses between European and American dairy breeds.
        in: Proc. 37th Annu. Mtg. Eur. Assoc. Anim. Prod., 1986: 21
        • Sheridan A.K.
        Crossbreeding and heterosis.
        Anim. Breed. Abstr. 1981; 49: 131
      3. Van der Werf, J.H.J. A. E. van Veldbuizen and S. Korver. 1987. Relationship between young bull performance and dairy performance of progeny. S. Korver, G. Averdunk, and B. B. Andersen, ed. Performance testing of AI bulls for efficiency and beef production in dairy and dual purpose breeds. Eur. Assoc. Anim. Prod. Publ. 34, Pudoc, Wageningen, Neth.

        • Van der Werf J.H.J.
        • de Boer W.
        Estimation of genetic parameters in a crossbred population of Dutch Black and White dairy cattle.
        J. Dairy Sci. 1989; 72: 2615
        • Wilmink H.
        • de Graaf F.
        Genetic parameters for 305-days yield in first lactation and adjustment of Net Guilder Index (Dutch with English summary).
        Dutch Royal Cattle Syndicate, Amhem1986 (Rep. 86-676)