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Genetic evaluation using random regression models for longitudinal measurements of body weight in animals : doctoral dissertation = Napovedovanje plemenske vrednosti s pomočjo modelov z naključno regresijo za zaporedne meritve telesne mase živali : doktorska disertacija
Malovrh, Špela, 1968-
Longitudinal measurements of body weight in 3,918 boars and 1,532 bulls from test station were analysed by random-regression models. Both species were housed in groups. Boars had 6 measurements ...during test, and bulls approximately 9. Covariance components for random-regression coefficients wereestimated by the REML method and the VCE5 software package. Orthogonal Legendre polynomials (LG) of different order were fit to random effects. Modelfor bulls included direct additive genetic and animal permanent environmental effects, while in boars common litter environment, common pen environment, and maternal genetic effect were fitted additionally. LG with four coefficients were found sufficient in both species. Animal permanent environment accounted for 35 to 40 % of phenotypic variabilitry in boars, and between 30 and 55 % in bulls. Estimates of direct heritability in bulls were in the range 0.22 to 0.45, inm boars were around 0.40. Maternal heritability in boars decreased from 0.03 to 0.01. The proportion of common litter effect decreased over time (0.24 to 0.15), too. The eigenfunctions and corresponding eigenvalues in both species showed that around 85 to 90 % of the total geneticvariability was explained by the constant term in regression, while 10 to 15 % was genetic variability in the shape of growth curve. In bulls, a combined random regression and conventional multi-trait model for body weight (BW) and five single measured carcass traits was studied. Estimated genetic correlation over time between BW and warm carcass weight, conformation index, and ratio muscle:bone increased with time from +0.02 to +0.80 (+0.60), between BW and ratio of valuable cuts was close to zero the entire time. Changing the shape of growth curve by selection is possible, but not easy. Using the results of the combined random-regression and multiple-trait analysis in selection could be an advantage for carcass traits.
Type of material - dissertation
; adult, serious
Publication and manufacture - Ljubljana : [Š. Malovrh], 2003
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