ArticleFrontiers in veterinary science2024
Phenotypic variation of dairy cows' hematic metabolites and feasibility of non-invasive monitoring of the metabolic status in the transition period.
Article in Frontiers in veterinary science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Milk Production, Composition, and Fatty Acid Profile in Milk from Dairy Cows Fed Increasing Levels of Dietary Soybean Oil: A Dose-Response Study.Veterinary sciences · 2026Article
- Improved transition period management increases milk production of Holstein crossbred cows on smallholder farms in Ethiopia.Tropical animal health and production · 2026Article
- Smart Enough? What Italian Farmers Reveal About Dairy Cow Technologies: A Survey Study.Animals : an open access journal from MDPI · 2026Article
- Serum α-Glucosidase Activity as a New Parameter of Negative Energy Balance in Dairy Cows.Veterinary sciences · 2026Article
- Identification of genes related to ketosis in dairy cows and establishment of early detection method for aryl hydrocarbon receptor gene.Frontiers in veterinary science · 2026Article
- Long-TermAnimals : an open access journal from MDPI · 2025Article
- Effect of a feed additive based on a mix of condense and hydrolysable tannins (ByProTropical animal health and production · 2025Article
- Body condition score at calving, subclinical ketosis, postpartum body condition score losses, diseases, and fertility in Holstein cows: modelling confounding associations.Veterinary and animal science · 2025Article
- Article
- Subclinical Hypocalcemia Across Lactation Stages Reflects Potential Metabolic Vulnerability in Korean Holstein Cows.Veterinary sciences · 2025Article
- The Role of Energy-Dispersive X-Ray Fluorescence to Predict Mineral Content in Untreated Bovine Plasma.Animals : an open access journal from MDPI · 2025Article
- Effect of a mix of condense and hydrolysable tannins feed additive on lactating dairy cows' services per conception and days open.Veterinary and animal science · 2025Article
- Wearable Collar Technologies for Dairy Cows: A Systematized Review of the Current Applications and Future Innovations in Precision Livestock Farming.Animals : an open access journal from MDPI · 2025Review
- Comparison between linear mixed model and threshold model in the estimation of variance components in age at first calving and milk production in buffaloes.Frontiers in veterinary science · 2025Article
- Precision monitoring of rumination and locomotion in relation to milk fat-to-protein ratio in early lactation dairy cattle.Frontiers in veterinary science · 2025Article
- Animal health and nutrition: metabolic disorders in cattle and improvement strategies.Frontiers in veterinary science · 2025Review
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5 authors.
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Abstract
Introduction: The incidence of metabolic diseases tends to be highest during the transition period (±3 weeks around parturition) in dairy cows due to physiological changes and the onset of lactation. Although blood profile testing allows for the monitoring of nutritional and metabolic status, conducting extensive analyses in the herd is costly and stressful for cows due to invasive procedures. Therefore, mid-infrared spectroscopy (MIR) could be seen as a valid alternative. Methods: In the present study, we used laboratory-determined reference blood data and milk spectra of 349 Holstein cows to (i) identify the non-genetic factors affecting the variability of major blood traits in healthy cows and, subsequently, (ii) test the predictive ability of milk MIR. Cows belonged to 14 Italian commercial farms and were sampled once between 5 and 38 days in milk. For Results and discussion: 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.
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