Phenotypic variation of dairy cows’ hematic metabolites and feasibility of non-invasive monitoring of the metabolic status in the transition period
The results indicate that all fixed effects significantly affected the hematic concentration of most of the traits. Regarding MIR, the most predictable traits were BHB, NEFA, and urea, with coefficients of determination equal to 0.57, 0.62, and 0.89, respectively. These values suggest that MIR predictions of BHB and NEFA are not sufficiently accurate for precise and punctual determination of the hematic concentration, however, still the spectrum of the milk can be exploited to identify cows at risk of negative energy balance and subclinical ketosis. Finally, the predictions can be useful for herd screening, decision-making, and genetic evaluation.
Authors
- Silvia Magro (ORCID: https://orcid.org/0000-0001-6257-5158)
- Massimo De Marchi (ORCID: https://orcid.org/0000-0001-7814-2525)
- Elena Chiarin (ORCID: https://orcid.org/0000-0002-0945-0601)
- Angela Costa (ORCID: https://orcid.org/0000-0001-5353-8988)
- Damiano Cavallini
Institutions
- University of Padua (IT)
- University of Bologna (IT)
Publication Details
- Journal
- Frontiers in Veterinary Science
- Published
- 2024-11-25
- DOI
- https://doi.org/10.3389/fvets.2024.1437352
- Citations
- 22
- Primary Topic
- Reproductive Physiology in Livestock
- Type
- article
- Field-Weighted Citation Impact
- 12.49