Lactation is a dynamic process, which evolved to meet dietary demands of growing
offspring. At the same time, the mother's metabolism changes to meet the high requirements …

An important goal in animal breeding is to improve longitudinal traits; that is, traits recorded
multiple times during an individual's lifetime or physiological cycle. Longitudinal traits were …

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 ability of a cow to cope with environmental disturbances, such as pathogens or heat
waves, is called resilience. To improve resilience through breeding, we need resilience …

Highlights•A machine learning framework was developed to predict cow production
performance.•Models were trained using 5 years' data collected from robotic milking …

Recently there has been considerable interest in modeling individual test-day records (TDR)
for genetic evaluation of dairy cattle as a replacement for the traditional use of estimated …

• Genetic selection can be used to alter the shape of the lactation curve, manufacturing
properties of milk, and composition associated with human health.• Mid-infrared spectral …

Most studies on lactation curves only consider milk yield and describe a standard lactation
curve of dairy cows, showing a peak or maximum daily yield occurring between 4 and 8 …

Test day (TD) records of milk production traits (milk yield, fat, and protein percentages) of
534 Italian buffalo cows were analyzed with a mixed linear model in order to estimate …

The study is focused on the capability of artificial neural networks to forecast milk yield for
both full and standardised lactations. We used a dataset of 108,931 daily milk yields (dataset …