Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewedConventional

In-Line Registered Milk Fat-to-Protein Ratio for the Assessment of Metabolic Status in Dairy Cows

Ramūnas Antanaitis, Karina Džermeikaitė, Vytautas Januškevičius, Ieva Šimonytė, Walter Baumgartner

Animals · 2023

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Summary

This field study evaluated the milk fat-to-protein ratio as a non-invasive indicator of metabolic status in postpartum dairy cows. Subclinical ketosis was associated with a 36% elevation in milk F/P ratio (1.66 vs 1.22 in healthy cows), whilst subclinical acidosis showed a 23.77% decrease (0.93), with corresponding differences in blood metabolite concentrations. The findings suggest that in-line milk composition monitoring may serve as a practical tool for early detection of metabolic disorders in dairy herds.

Regional applicability

The study was conducted in Lithuania and uses automated in-line milk analysis technology increasingly available in commercial dairy operations across Europe and the United Kingdom. The metabolic profiles and postpartum disorders studied are universal to intensive dairy production; however, direct application to UK herds would benefit from validation in different genetic backgrounds and management systems, and calibration of reference ranges for UK milk recording systems.

Key measures

Milk fat-to-protein ratio (in-line measurement), blood BHBA, NEFA, glucose, AST, GGT, and albumin concentrations

Outcomes reported

The study assessed alterations in milk fat-to-protein ratio as an indicator of metabolic status in dairy cows, measuring associations with blood biomarkers of ketosis and acidosis. Cows were categorised into subclinical ketosis, subclinical acidosis, and healthy groups based on clinical signs and milk composition.

Theme
Nutrition & health
Subject
Dairy & milk production
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
Lithuania
System type
Dairy
DOI
10.3390/ani13203293
Catalogue ID
SNmuz1ydjg-halzgv

Topic tags

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