'Repeated'measurements for a trait and individual, taken along some continuous scale such
as time, can be thought of as representing points on a curve, where both means and …

Currently, most analyses of parameters in test-day models involve two types of models:
random regression, where various functions describe variability of (co) variances with regard …

(Co) variance components for milk, fat, and protein yield of 8075 first-parity Danish Holsteins
(DH) were estimated in random regression models by REML. For all analyses, the fixed part …

Several functions were used to model the fixed part of the lactation curve and genetic
parameters of milk test-day records to estimate using French Holstein data. Parametric …

Random regression models have been advocated for the analysis of test day records in
dairy cattle. The effectiveness of a random regression analysis depends on the function …

Genetic (co) variances between body condition score (BCS), body weight (BW), milk yield,
and fertility were estimated using a random regression animal model extended to …

Weights of beef cows recorded on a monthly basis were analysed using a random
regression model. Data originated from a selection experiment in Western Australia …

Selection based on genomic predictions has become the method of choice for genetic
improvement in dairy cattle. This offers huge opportunity for develo** countries with little …

Variance components of the covariance function coefficients in a random regression test-day
model were estimated by Legendre polynomials up to a fifth order for first-parity records of …

Records for birth and subsequent, monthly weights until weaning on beef calves of two
breeds in a selection experiment were analysed fitting random regression models …