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United States Department of Agriculture

Agricultural Research Service

Research Project: IMPROVING GENETIC PREDICTIONS FOR DAIRY ANIMALS USING PHENOTYPIC AND GENOMIC INFORMATION Title: Reliability of genomic predictions for North American dairy bulls

Authors
item Vanraden, Paul
item Van Tassell, Curtis
item Wiggans, George
item Sonstegard, Tad
item Schnabel, R - UNIV OF MISSOURI
item Schenkel, F - UNIV OF GUELPH

Submitted to: Journal of Dairy Science
Publication Type: Abstract Only
Publication Acceptance Date: February 26, 2008
Publication Date: July 11, 2008
Citation: Van Raden, P.M., Van Tassell, C.P., Wiggans, G.R., Sonstegard, T.S., Schnabel, R.D., Schenkel, F. 2008. Reliability of genomic predictions for North American dairy bulls. Journal of Dairy Science. 91(E-Suppl. 1):305(abstr. 261).

Technical Abstract: Genetic progress will increase when breeders examine genotypes instead of only pedigrees and phenotypes. Genotypes for 39,835 markers and August 2003 genetic evaluations for 2609 Holstein bulls born before 1998 were used to predict January 2008 daughter deviations for 510 bulls born 2001-2. Genotypes were from the Illumina Bovine SNP50â„¢ chip and semen contributed by U.S. and Canadian AI organizations to the Cooperative Dairy DNA Repository. Genomic predictions for 5 yield traits, 5 fitness traits, 16 conformation traits, and net merit were computed by a linear model with an assumed normal distribution for marker effects and also a nonlinear model with a heavier tailed prior to account for major genes. The official parent average from 2003 and a 2003 parent average computed from only the subset of genotyped ancestors were combined with the genomic predictions by selection index. The combined predictions were significantly (P < .0001) more accurate than official parent averages for all 27 traits. Squared correlations were 0.03 to 0.22 higher with linear genomic predictions included than those from parent average alone. Nonlinear genomic predictions had R-square similar to linear except for a few traits such as fat percentage, with maximum additional increase of 0.08. Squared correlations were converted to realized reliabilities by dividing by the average reliability of 2008 daughter deviations and by adding the difference between published and observed reliabilities of the 2003 parent averages. When averaged across all traits, combined genomic predictions had realized reliabilities 18% higher than reliabilities of parent average (48% vs. 30), and gains in information were equivalent to 9 daughter records. Reliability increased more by doubling the number of bulls genotyped than the number of markers genotyped. Genomic selection can decrease generation interval and greatly increase accuracy by tracing the inheritance of minor genes.

Last Modified: 10/24/2014
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