scholarly journals Use of robust multivariate linear mixed models for estimation of genetic parameters for carcass traits in beef cattle

2014 ◽  
Vol 131 (6) ◽  
pp. 504-512 ◽  
Author(s):  
S.O. Peters ◽  
K. Kizilkaya ◽  
D.J. Garrick ◽  
R.L. Fernando ◽  
E.J. Pollak ◽  
...  
2018 ◽  
Vol 78 (2) ◽  
pp. 198-204 ◽  
Author(s):  
Wanessa F. Stida ◽  
Rogério F. Daher ◽  
Alexandre P. Viana ◽  
Ana Kesia F. Vidal ◽  
Rafael S. Freitas ◽  
...  

2007 ◽  
Vol 50 (6) ◽  
pp. 562-574
Author(s):  
L. Vostrý ◽  
J. Přibyl ◽  
Z. Veselá ◽  
V. Jakubec

Abstract. The objective of this paper was to select a suitable data subset and statistical model for the estimation of genetic parameters for weaning weight of beef cattle in the Czech Republic. Nine subsets were tested for the selection of a suitable subset. The subsets differed from each other in the limit of sampling criteria. The most suitable subset satisfied these conditions: at least 5 individuals per each sire, 5 individuals per HYS (herd, year, season), 2 sires per HYS, and individuals per dams that have at least one half-sister and two offspring (n = 4 806). The selection of a suitable model was carried out from 10 models. These models comprised some of the random effects: direct genetic effect, maternal genetic effect, permanent maternal environment effect, HYS, sire × herd or sire × year interaction, and some of the fixed effects: dam’s age, sex (young bull, heifer × single, twin born), HYS, year, herd. The direct heritability (h2a) ranged from 0.06 to 0.17, of maternal heritability (h2m) from 0.03 to 0.06. The genetic correlations between the direct and maternal effect (ram) were in the range of –0.15 –0.42.


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