This review gives an overview of the mathematical modelling of lactation curves in dairy
cattle. Over the last ninety years, the development of this field of study has followed the main …

Lactation persistency and milk production are among the most economically important traits
in the dairy industry. In this study, we explored the association of over 6.1 million imputed …

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

Milk production is largely dependent on the shape of the lactation curve. Relevant elements
of the lactation pattern are the peak yield, which represents the maximum milk yield during …

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 objective was to determine whether daily walking activity and milk yields could be used
as predictors of metabolic and digestive disorders early in lactation. Data were collected …

Considering the increasing challenges imposed by climate change and the need to improve
animal welfare, breeding more resilient animals capable of better coping with environmental …

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 …

Lactation persistency (LP), defined as the rate of declining milk yield after milk peak, is an
economically important trait for dairy cattle. Improving LP is considered a good alternative …

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 …