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Estimation of breeding values for mean and dispersion, their variance and correlation using double hierarchical generalized linear models.
- M. Felleki, D. Lee, Y. Lee, A. Gilmour, L. Rönnegård
- Medicine, Mathematics
- Genetics research
- 1 December 2012
The hierarchical (h)-likelihood from the theory of double hierarchical generalized linear models (DHGLM) is used to derive an estimation algorithm that is computationally feasible for large datasets and gives the same results as h-likelihood in simple cases with no severe indication of bias. Expand
Genetic heterogeneity of residual variance - estimation of variance components using double hierarchical generalized linear models
- L. Rönnegård, M. Felleki, F. Fikse, H. Mulder, E. Strandberg
- Biology, Medicine
- Genetics Selection Evolution
- 19 March 2010
It is shown that variance components in the residual variance part of a linear mixed model can be estimated using a DHGLM approach, which enables analyses of animal models with large numbers of observations. Expand
Variance component and breeding value estimation for genetic heterogeneity of residual variance in Swedish Holstein dairy cattle.
- L. Rönnegård, M. Felleki, W. Fikse, H. Mulder, E. Strandberg
- Mathematics, Medicine
- Journal of dairy science
- 1 April 2013
This study shows that estimation of variance components, estimated breeding values and vEBV, is feasible for large dairy cattle data sets using standard variance component estimation software. Expand
Genetic heteroscedasticity of teat count in pigs.
A genetic heterogeneity model was applied to teat counts in pigs, and found a low heritability for residual variance, indicating that selection for reduced residual variance might have a limited effect. Expand
Scaling maximal oxygen uptake to predict performance in elite-standard men cross-country skiers
- Tomas Carlsson, Magnus Carlsson, +4 authors M. Tonkonogi
- Mathematics, Medicine
- Journal of sports sciences
- 14 November 2013
Results suggest that course inclination increases the body-mass exponent for O2max, and the confidence interval did not support the use of either “1” (simple ratio-standard scaled) or “0’ (absolute expression) as body- Mass exponents for expressing O2 max as an indicator of performance. Expand
Genetic control of residual variance for teat number in pigs.
The genetic improvement in litter size in pigs has been substantial during the last 10-15 years. The number of teats on the sow must increase as well to meet the needs of the piglets, because each ...
Statistical tools to select for robustness and milk quality
This work was part of the EU RobustMilk project. In this work package, we have focused on two aspects of robustness, micro- and macro-environmental sensitivity and applied these to somatic cell count… Expand
Joint estimation of (co) variance components and breeding values for mean and dispersion of days from calving to first service in Holstein cow
The present study explored the possibility of selection for uniformity of days from calving to first service (DFS) in dairy cattle. A double hierarchical generalised linear model with an iterative… Expand
Genetic heteroscedasticity for domestic animal traits
- M. Felleki
Animal traits differ not only in mean, but also in variation around the mean. For instance, one sire’s daughter group may be very homogeneous, while another sire’s daughters are much more heterogen… Expand
A Double Hierarchical Generalized Linear Model For Teat Number In Pigs
Teat number is an important trait in pig production since each piglet need access to its own teat, due to a complex nursing behavior between the piglets and the sow. The number of teats can vary, but… Expand