Combining genetic markers, on-farm information and infrared data for the in-line prediction of blood biomarkers of metabolic disorders in Holstein cattle.
Lucio F M MotaDiana GiannuzziSara PegoloHugo Toledo-AlvaradoStefano SchiavonLuigi GalloErminio TrevisiAlon AraziGil KatzGuilherme J M RosaAlessio CecchinatoPublished in: Journal of animal science and biotechnology (2024)
Our results highlighted the potential of combining several sources of information, such as genetic markers, on-farm information, and in-line NIR infrared data improves the predictive ability of blood metabolites in dairy cattle, representing an effective strategy for large-scale in-line health monitoring in commercial herds.
Keyphrases
- health information
- electronic health record
- healthcare
- genome wide
- big data
- public health
- mental health
- copy number
- ms ms
- photodynamic therapy
- social media
- human health
- drinking water
- gene expression
- data analysis
- machine learning
- dna methylation
- fluorescence imaging
- drug release
- drug delivery
- fluorescent probe
- climate change