PL EN


Preferences help
enabled [disable] Abstract
Number of results
1999 | 40 | 2 | 103-116
Article title

Modelling test day data from dairy cattle

Authors
Content
Title variants
Languages of publication
EN
Abstracts
EN
Four statistical models for genetic evaluations utilising dairy test day data are considered. These are: the fixed regression model, the random regression model, the autoregressive model and a multiple trait model. The emphasis is put on the comparison of these models in terms of their assumed covariance structure, modelling and prediction of breeding values and parameterisation. In the future one of the models should be used for a routine genetic evaluation of the Polish Black-and-White dairy cattle. Therefore, characteristics of test day data from the Polish population are given. In conclusion, it appears that thanks to its flexibility in handling heterogeneous variances during lactation, variable autocorrelation and non-uniform spacing between tests, the random regression model forms the most suitable approach.
Discipline
Year
Volume
40
Issue
2
Pages
103-116
Physical description
References
Document Type
Publication order reference
J. Szyda, Department of Animal Genetics, Agricultural University, Kozuchowska 7, 51-631 Wroclaw, Poland
YADDA identifier
bwmeta1.element.element-from-psjc-6654d8e0-2bc8-3feb-8d15-35e52a6e79cd
Identifiers
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.