Milk recording is recognised as a valuable tool for herd management world wide. Besides this it is also used as a source of information for breeding programs. These two have long been separate processes with different statistical procedures and frequencies of data processing. Random regression models that use testday records for milk yield have been implemented for the estimation of breeding values.
The main objective of this research is to develop management parameters from a testday random regression model that can be used to advice dairy farmers on health, fertility and nutritional management of their dairy cows. |
