Literature DB >> 9812277

Approximate reliability of genetic evaluations under an animal model.

B Harris, D Johnson.   

Abstract

A method was developed for calculating approximate reliability for national systems of evaluation. The method combined the reliability of three information sources: parent average, animal's own records, and progeny records. This method provided good approximation to the actual values with minimal upward bias and was considerably better than the current national method of New Zealand genetic evaluation or Meyer's method for all accuracy measures. Our method had an average absolute bias of 0.006 compared with 0.026 and 0.035 for the current national method and Meyer's method, respectively. Our method was less computationally demanding than the current New Zealand method. One of the major advantages of the method is that it can be extended to accommodate more complex models by altering the selection index equations within the method. An example is given for which the method was extended to account for a genetic correlation other than unity between an incomplete lactation and a complete lactation yield.

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Mesh:

Year:  1998        PMID: 9812277     DOI: 10.3168/jds.S0022-0302(98)75829-1

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


  17 in total

1.  International genomic evaluation methods for dairy cattle.

Authors:  Paul M VanRaden; Peter G Sullivan
Journal:  Genet Sel Evol       Date:  2010-03-01       Impact factor: 4.297

2.  Association of bovine leptin polymorphisms with energy output and energy storage traits in progeny tested Holstein-Friesian dairy cattle sires.

Authors:  Linda Giblin; Stephen T Butler; Breda M Kearney; Sinead M Waters; Michael J Callanan; Donagh P Berry
Journal:  BMC Genet       Date:  2010-07-29       Impact factor: 2.797

3.  Polymorphisms in bovine immune genes and their associations with somatic cell count and milk production in dairy cattle.

Authors:  Christine Beecher; Mairead Daly; Stuart Childs; Donagh P Berry; David A Magee; Tommie V McCarthy; Linda Giblin
Journal:  BMC Genet       Date:  2010-11-05       Impact factor: 2.797

4.  Accounting for genomic pre-selection in national BLUP evaluations in dairy cattle.

Authors:  Clotilde Patry; Vincent Ducrocq
Journal:  Genet Sel Evol       Date:  2011-08-18       Impact factor: 4.297

5.  Single Nucleotide Polymorphisms in the Insulin-Like Growth Factor 1 (IGF-1) Gene are Associated with Performance in Holstein-Friesian Dairy Cattle.

Authors:  Michael Paul Mullen; Donagh P Berry; Dawn J Howard; Michael G Diskin; Ciaran O Lynch; Linda Giblin; David A Kenny; David A Magee; Kieran G Meade; Sinead M Waters
Journal:  Front Genet       Date:  2011-02-16       Impact factor: 4.599

6.  Genome-wide associations for milk production and somatic cell score in Holstein-Friesian cattle in Ireland.

Authors:  Brian K Meredith; Francis J Kearney; Emma K Finlay; Daniel G Bradley; Alan G Fahey; Donagh P Berry; David J Lynn
Journal:  BMC Genet       Date:  2012-03-26       Impact factor: 2.797

7.  Reliability of pedigree-based and genomic evaluations in selected populations.

Authors:  Gregor Gorjanc; Piter Bijma; John M Hickey
Journal:  Genet Sel Evol       Date:  2015-08-14       Impact factor: 4.297

8.  Whole genome association study identifies regions of the bovine genome and biological pathways involved in carcass trait performance in Holstein-Friesian cattle.

Authors:  Anthony G Doran; Donagh P Berry; Christopher J Creevey
Journal:  BMC Genomics       Date:  2014-10-01       Impact factor: 3.969

9.  Predicting the accuracy of genomic predictions.

Authors:  Jack C M Dekkers; Hailin Su; Jian Cheng
Journal:  Genet Sel Evol       Date:  2021-06-29       Impact factor: 4.297

10.  Estimation of prediction error variances via Monte Carlo sampling methods using different formulations of the prediction error variance.

Authors:  John M Hickey; Roel F Veerkamp; Mario P L Calus; Han A Mulder; Robin Thompson
Journal:  Genet Sel Evol       Date:  2009-02-09       Impact factor: 4.297

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