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Animal Science Papers and Reports

Single-step genomic evaluation for linear type traits of Holstein cows in Czech Republic

Ludmila Zavadilová
Institute of Animal Science, Přátelství 815, 104 01 Praha - Uhříněves, Czech Republic
Abstract :
The single-step method of genomic evaluation using both a uni-trait and a multi-trait animal model
was applied for 20 linear type traits of Holstein cows in the Czech Republic. Phenotypic data on
linear scoring were available for
143,208 Holstein cows first calved between years 2005 to 2010.
Single nucleotide polymorphism (SNP) markers from the Illumina BovineSNP50 BeadChipV2
(Illumina Inc., San Diego, USA) were available for 631 sires. Breeding values (traditional breeding
value, EBV) were estimated by uni-trait and multi-trait BLUP animal models using the pedigree-
based relationship matrix. Genomic breeding value (GEBV) was estimated by single step genomic
BLUP (ssGBLUP) using the pedigree-based relationship matrix augmented by the genomic
relationship matrix. The model included fixed effects of herd-date of classification, classifier and
season of calving, linear and quadratic regressions on age at calving and on days in milk and the
random additive genetic effect of animal. Correlations between parent average, predicted GEBV
and post-progeny test EBV were slightly higher for uni-trait analyses than for multi-trait analyses.
Excluding udder traits, the average uni-trait correlations with the post-progeny test EBV were 0.44
for
parent average and 0.46 for predicted GEBV, whereas multi-trait correlations were 0.42 and
0.44, respectively. When udder traits were included, average uni-trait correlations with the post-
progeny test EBV were 0.09 for parent average and 0.14 for predicted GEBV, while multi-trait
correlations were 0.29 and 0.33, respectively
.
Keywords :
Holstein cattle / linear type traits / single-step genomic evaluation

Date Deposited : 02 Apr 2015 13:28

Last Modified : 02 Apr 2015 13:28

Official URL: http://www.ighz.edu.pl/?p0=5&p1=34

Volume 32, Number 3, - 2014

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