Update of genetic parameters and inclusion of Swedish and Finnish β-hydroxybutyrate and acetone measurements to the Nordic General Health evaluation model
Abstract
The Nordic (Denmark, Finland, Sweden) General Health (GH) evaluation model was introduced in 2008 and significantly revised between 2017 and 2019. The current GH index includes reproductive disorders, feet and leg disorders, clinical ketosis, and other metabolic diseases recorded as veterinary treatments. Acetone and β-hydroxybutyrate (BHB) measurements from milk mid-infrared (MIR) spectra are used as correlated traits in mixed model equations and supplied primarily from Danish herds. Although the collection of Swedish acetone and BHB measurements began in 2018, this data has not yet been incorporated into official evaluations. Furthermore, new Finnish measurements are available only for BHB and predicted from MIR using a different equation than those used in Denmark and Sweden.
Swedish BHB and acetone, along with Finnish BHB data, were integrated into the official Nordic evaluation pipeline. Genetic correlations between Finnish and Swedish/Danish BHB were estimated at around 0.8. Genetic parameters were newly estimated for Holstein, Red Dairy Cattle (RDC), and Jersey breeds. The largest changes in heritability and genetic correlations between clinical and subclinical ketosis were observed for RDC and Jersey. Correspondingly, the largest changes in breeding values were observed for RDC and JER Nordic AI bulls. The updated model is planned to be implemented in November 2025.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).