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Title: Comparison of Multivariate and Univariate Models for Genetic Evaluation of Milk Yield based on Test Day Data
Authors: Tsvetanova, Yanka
Keywords: mixed linear models
repeated measures
fixed regression
genetic parameters
Issue Date: 2005
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Pliska Studia Mathematica Bulgarica, Vol. 17, No 1, (2005), 313p-322p
Abstract: Multivariate and univariate lactation models were applied to test day data to predict genetic value of daily milk yield of a sample of Black and White cows. The models for genetic evaluation include a set of fixed main effects, fixed regression on functions of days im milk, random effects of permanent environment within lactation, random additive genetic effect and residual effect. Under multivariate model for daily milk yield test day records within lactation are considered as repeated measurements, and different lactations are treated as separate traits. Univariate model is applied for each lactation using test day yield as repeated measure. The variance components, genetic parameters and ranging of the animals through the multivariate and univariate metod were compared.
Description: 2000 Mathematics Subject Classification: 62H12, 62P99
ISSN: 0204-9805
Appears in Collections:2005 Volume 17

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