Random regression models (RRM) have become common for the analysis of longitudinal
data or repeated records on individuals over time. Applications in animal breeding research …

The study of relationships between mathematical properties of functions used to model
lactation curves is usually limited to the evaluation of the goodness of fit. Problems related to …

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 …

The main objective of this study was to estimate genetic relationships between lactation
persistency and reproductive performance in first lactation. Relationships with day in milk at …

The objectives of this study were to evaluate the presence of intramammary infections (IMI)
in dairy buffaloes and to examine the relationships among IMI, somatic cell counts (SCC) …

Routine examination of milk was performed on five herds of lactating goats in northern Italy
as part of a milk quality-monitoring program in the year 2000. As part of the study, aseptic …

Daily animal solutions were predicted using random regression analysis for feed intake, milk
yield, live weight, and condition score recorded on 189 cows at the Langhill Dairy Cattle …

A random regression model with both random and fixed regressions fitted by Legendre
polynomials of order 4 was compared with 3 alternative models fitting linear splines with 4 …

ABSTRACT A good health status of high-performing dairy cows is essential for successful
production. Feed intake affects the metabolic stability of dairy cows and can be used as a …

Test-day (TD) milk yields from Spanish Holstein cows were analysed in three independent
data sets (35 615, 35 209 and 27 272 TD records, respectively) with a set of random …