Literature DB >> 1787204

Method and effect of adjustment for heterogeneous variance.

G R Wiggans1, P M VanRaden.   

Abstract

Lactation records were standardized for differing genetic and error variances across herds and over time based on phenotypic variance for each herd-year-parity group. Each herd-year-parity phenotypic variance estimate was combined with those of adjacent years and regressed toward a region-year-parity variance. Heritability was assumed to be .25 at mean variance within year and to range from .2 for herds with smallest phenotypic SD to .3 for herds with largest phenotypic SD. Lactation deviations from management group mean were adjusted by ratio of base genetic SD to genetic SD estimated from heritability and phenotypic SD. The base was defined as 1987 calvings for first parity and 1988 calvings for later parities. Records were weighted according to heritability by multiplying lactation length weight by herd error weight defined as ratio of base error variance to error variance in the adjusted record. Estimated genetic trend for milk increased by nearly 5 kg/yr for Holsteins with this adjustment, which caused predicted breeding values of oldest animals to be lower by about 100 kg. Most correlations of parent and progeny information were slightly higher with adjusted data. Cows in high variance herds were most likely to have large reductions in their evaluations. Adjustment for heterogeneous variance was implemented in July 1991 for national evaluations for yield traits.

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Year:  1991        PMID: 1787204     DOI: 10.3168/jds.S0022-0302(91)78631-1

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

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2.  Effect of calving age on genetic evaluation of milk yield in Holstein cattle.

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Journal:  Trop Anim Health Prod       Date:  2019-07-29       Impact factor: 1.559

Review 3.  Development of genetic evaluation for milk production traits of Holsteins in Japan.

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Journal:  Anim Sci J       Date:  2019-02-14       Impact factor: 1.749

4.  Substantial Genetic Progress in the International Apis mellifera carnica Population Since the Implementation of Genetic Evaluation.

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Journal:  Insects       Date:  2020-11-07       Impact factor: 2.769

5.  Spatial modelling improves genetic evaluation in smallholder breeding programs.

Authors:  Maria L Selle; Ingelin Steinsland; Owen Powell; John M Hickey; Gregor Gorjanc
Journal:  Genet Sel Evol       Date:  2020-11-16       Impact factor: 4.297

  5 in total

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