Variance Component Estimates with Dominance Models for Milk Production in Holsteins of Japan Using Method R
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چکیده
منابع مشابه
Variance Component Estimates with Dominance Models for Milk Production in Holsteins of Japan Using Method R
Fractions of herd-year-season, sire by herd interaction, additive genetic and dominance genetic variances were estimated for milk production traits in Holsteins of Japan using Method R. Inbreeding depressions for milk production traits were also estimated. Estimated fractions of herd-year-season variances ranged from 0.056 to 0.074 for yield traits and from 0.033 to 0.035 for content traits. Es...
متن کاملMethod R estimates of additive genetic, dominance genetic, and permanent environmental fraction of variance for yield and health traits of Holsteins.
Fractions of variance accounted for by additive genetic, dominance genetic, and permanent environmental effects for milk, fat, and protein yields; somatic cell score; and productive life were estimated from Holstein data used for national genetic evaluations. Contemporary group assignments were determined using the national procedure. Data included 1,973,317 milk and fat records for 812,659 cow...
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A procedure is derived for computing standard errors in random intercept models for estimates obtained from the EM algorithm. We discuss two different approaches: a Gauu-Hermite quadrature for Gaussian random eeect models and a nonparametric maximum likelihood estimation for an unspec-iied random eeect distribution. An approximation of the expected Fisher information matrix is proposed which is...
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2. In the context of a balanced one-way random effect model where the εij’s are N = nk i.i.d. N(0, σ), εij − εi. and εi′. − ε.. are independent for all choices of i, j, and i′. Proof: It suffices to show that cov(εij − εi., εi′.− ε..) = 0 for all i, i′, and j due to normality. case 1 : i = i′. cov(εij − εi., εi. − ε..) = cov(εij, εi.) − cov(εij, ε..) − cov(εi., εi.) + cov(εi., ε..) = σ/n− σ/nk ...
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ژورنال
عنوان ژورنال: Asian-Australasian Journal of Animal Sciences
سال: 2006
ISSN: 1011-2367,1976-5517
DOI: 10.5713/ajas.2006.769