The Future Toolbox for Managing Ketosis in Dairy Cow Herds: A European Key Opinion Leader Consensus
Simple Summary
Abstract
1. Introduction
2. Ketosis Awareness in Dairy Farming
2.1. Standardized Terminology for Enhanced Communication
- •
- Vets: They are to agree with farmers on simple ketosis definitions (e.g., clinical vs. subclinical) based on the chosen testing method and use these consistently in reports, software, and discussions.
- •
- Farmers: They are to record all the health events and test results using these same agreed definitions and thresholds so that ketosis trends can be reliably monitored over time.
2.2. Elevating Farmer Understanding of Ketosis’s Impact and Subclinical Nature
- •
- Vets: They should make ketosis a standard topic at every herd health visit, use farm data to show that most cases are subclinical, and explain the main economic and welfare impacts.
- •
- Farmers: They should ensure that all staff working with transition cows are trained to recognize risk periods, know that testing is needed to detect most cases, and can correctly use and interpret simple ketone tests.
2.3. Farm-Specific Data for Enhanced Decision-Making
- •
- Vets: For each herd, they should set up a basic ketosis monitoring protocol that combines existing farm data (milk recording, disease, and treatment records) with targeted ketone tests in early lactation, and they should present key indicators in a simple visual format.
- •
- Farmers: They should maintain complete transition cow records and review the monitoring results with the vet at agreed intervals to decide whether management or feeding practices need adjustment.
2.4. Empowering Farmers in Recognizing At-Risk Animals and On-Farm Risk Factors
- •
- Vets: They should create short herd- and cow-level ketosis action lists with the farmer (and nutritionist) and review/update them regularly based on results.
- •
- Farmers: They should apply the agreed herd actions (e.g., limit regrouping, avoid overcrowded transition pens, feed suitable transition rations) and keep an up-to-date list of high-risk cows for closer observation, prevention, and targeted ketone testing.
3. The Veterinarian’s Critical Role in Ketosis Control
- Veterinarians transitioning to proactive advisory and welfare stewardship.
- Essential skills for future dairy veterinarian success.
3.1. Transitioning to Proactive Advisory and Welfare Stewardship
3.2. Essential Skills for Future Dairy Veterinarian Success
4. Essential Tools for Modern Ketosis Management in Dairy Cows: Equipping Veterinarians and Farmers for Success Expert Panel Recommendations: A Proactive Approach
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Tool Type | Specific Tool/Approach | Description | Expert Panel Emphasis/Literature Support | Preventive Intervention Potential |
|---|---|---|---|---|
| Diagnostic | Blood, urine, or milk ketone measuring. | Rapid on-farm assessment of blood or milk BHBA levels or urine acetoacetate levels. Milk BHB offers high diagnostic utility with reported sensitivity and specificity, often exceeding 80% and 90%, respectively, when compared to blood BHB. Testing needs to be standardized per herd, considering the diurnal rhythm of the BHB concentration in the different body fluids and preferably in the first week post-calving. | [10,35]. | Limited direct preventive potential, primarily for diagnosis. |
| Indicators of inflammation (haptoglobin concentration in blood post calving). | A recommendation to investigate further when measuring acute phase proteins can help to indicate future disease and performance issues at the cow level and to decide on treatment. | [36]. | Limited direct preventive potential, primarily for diagnosis and understanding the underlying metabolic status. | |
| Monitoring | Milk, blood, or urine ketone tests. | Herd-level screening for subclinical ketosis can be incorporated into routine milk recording or even into in-line milk recording. Routine prevalence testing via blood or urine in all cows or in batches of freshly calved cows can be used as a monitoring instrument. | In-line milk tests, cow-side biomarker assessments, automated monitoring systems, and real-time data analysis advocate for early detection and estimation of prevalence (expert panel consensus) and [22]. | Supports prevention through monitoring. |
| Metabolic profiling (e.g., fatty acids, non-esterified fatty acids (NEFA’s), IGF-1, acute phase proteins). | A comprehensive assessment of the metabolic state requires specialized laboratory analysis. | [37,38]. | Indirectly supports prevention through improved understanding of metabolic pathways, potentially leading to targeted nutritional or preventive interventions. | |
| Monitoring | Monitoring of fresh cow health. | Close observation by clinical examination in the first weeks of lactation for early detection of ketosis. | Early detection is critical (expert panel consensus) and [39]. | Supports early intervention to minimize the impact of ketosis. |
| Multimodal data integration: integration of data from various farm systems. | Enabling comprehensive monitoring and analysis of herd-level ketosis risk factors. | Identification at risk herds (expert panel consensus). | Supports preventive management interventions at the herd level. | |
| Treatment/ prescription | Propylene glycol. | Targeted oral propylene glycol treatment in subclinical cases has been shown to reduce the risk of displaced abomasum by 40% and increase milk yield by 0.5 kg/day during the first 30 days of lactation compared to untreated controls. | [40,41,42]. | Mainly used as treatment of ketosis for 3–5 days. |
| Glucose precursors (e.g., calcium propionate). | Oral or IV administration stimulates gluconeogenesis. | [43]. | Short-term treatment, not a preventive measure. | |
| B vitamins (especially B12 or combined with butaphosphan). | Injections to support metabolic function. | [41,42,44]. | Supportive therapy may contribute to prevention if used strategically alongside other measures. | |
| Management/ Prevention | Body condition scoring (BCS). | Regular monitoring of BCS throughout lactation helps identify cows at risk and guide nutritional adjustments. | Expert panel consensus. | Important for identifying at-risk cows for preventive intervention and informing preventive nutritional strategies. |
| Preventive treatment against ketosis. | Intervention for cows at risk for ketosis based on effective molecules like monensin. | The expert panel identified a significant gap in current management, noting an unmet need for effective, cow-level preventive interventions (expert panel consensus). | Complements the preventive program by adding targeted intervention for at-risk animals to the overall herd approach. | |
| Data analysis software. | Track and analyze key metrics such as milk yield, ketone levels, and BCS to identify trends and optimize management strategies. | The data integration and analysis were highlighted as fundamental (expert panel consensus); the data-driven decision-making led to effective ketosis intervention [22]. | Essential for identifying trends, at-risk cows, and evaluating the effectiveness of preventive interventions. | |
| Communication | Veterinarian–farmer collaboration. | Clear communication and shared decision-making between veterinarians and farmers for effective implementation of preventive strategies. | Effective communication and collaboration are essential (expert panel consensus) and [16,18]. Motivational interviewing is a key capability of veterinarians [33,34]. | Enables the successful implementation and monitoring of preventive strategies. Evidence-based preventive solutions are only effective when they are properly implemented through clear communication and collaboration. |
| Tool Type | Specific Tool/Approach | Description | Expert Panel Emphasis/Literature Support | Preventive Intervention Potential |
|---|---|---|---|---|
| Diagnostic | Milk ketone measuring and fat-to-protein ratio. | Rapid on-farm assessment of milk BHBA levels. Milk BHB offers high diagnostic utility with reported sensitivity and specificity, often exceeding 80% and 90%, respectively, when compared to blood BHB. Testing needs to be standardized per herd, and preferably in the first week post-calving. The fat-to-protein ratio measured in line with the milking process helps to identify cows with metabolic issues in early lactation. | [10,35,45]. | Limited direct preventive potential, primarily for diagnosis. |
| Behavior analysis. | Recommendation to validate sensor tools for reliable detection of ketosis. | Expert panel consensus. | Exhibits restricted direct prophylaxis; however, it offers a valuable mechanism for the early identification of SCK in animals where the condition might otherwise remain undiagnosed. | |
| Monitoring | In milk testing for ketosis and fat-to-protein ratio screening. | Herd-level screening for subclinical ketosis can be incorporated into routine milk recording or even in in-line milk recording. Routine prevalence testing via milk in all or in batches of freshly calved cows. | In-line milk tests, cow-side biomarker assessments, automated monitoring systems, and real-time data analysis advocate for early detection and estimation of ketosis prevalence (expert panel consensus) and [22,45]. | Supports prevention through monitoring. |
| Monitoring of fresh cow health. | Close observation by clinical examination, by inviting the vet, by utilizing farm staff, or by health alert systems in the first weeks of lactation for early detection of ketosis. | Early detection is critical (expert panel), and [39] the validation of health monitoring systems is crucial (expert panel consensus). | Supports early intervention to minimize the impact of ketosis. | |
| Monitoring of risk factors in dry cows using algorithms and artificial intelligence. | Close observation of cows before the onset of negative energy balance. | The routine detection of ketosis is critical (expert panel consensus). | Supports preventive preintervention to minimize the prevalence of ketosis. | |
| Treatment/execution | Propylene glycol oral glucose precursors. | Targeted oral propylene glycol treatment in subclinical cases has been shown to reduce the risk of displaced abomasum by 40% and increase milk yield by 0.5 kg/day during the first 30 days of lactation compared to untreated. | [40,41,42]. | Mainly used as treatment of ketosis for 3–5 days. |
| B vitamins (especially B12 or combined with butaphosphan). | Injections to support metabolic function. | [41,42,44]. | Supportive therapy may contribute to prevention if used strategically alongside other measures. | |
| Management/ Prevention | Body condition scoring (BCS). | Regular monitoring of BCS throughout lactation helps identify cows at risk and guide nutritional adjustments. | Expert panel consensus. | Important for identifying at-risk cows for preventive intervention and informing preventive nutritional strategies. |
| Prevention of excessive energy intake in the dry cow period. | Close calculation of the energy intake of the dry cow ration. | Ref. [4] and expert panel consensus. | This prevents increased fat storage, which causes a high risk of ketosis. | |
| Active transition cow management (strategy)/program present on the farm. | A comprehensive approach that encompasses nutrition, housing, and monitoring during the critical transition period. | Meticulous dietary management during the close-up dry period is a key aspect of prevention (expert panel consensus); proactive health management is important [24]. | Important for minimizing the risks of NEB and ketosis during the transition period at the herd level. | |
| Implementation of positive welfare elements in the transition period. | Complementary preventive strategies with positive welfare interventions. | [47,48]. | Enhancing the resilience of animals by creating space for behavior preferences and (heat) stress reduction. | |
| Preventive treatment against ketosis. | Intervention for cows at risk for ketosis based on effective molecules like monensin. | There is an unmet need for effective preventive intervention at the cow level (expert panel consensus). | Complements the preventive program by adding targeted intervention for at-risk animals to the overall herd approach. | |
| Nutritional management during the fresh cow period. | An adequate physical form of the diet should focus on stimulating ruminal activity and chewing behavior in the post-partum period to avoid ruminal acidosis and a concurrent decrease in feed intake. | [49]. | Prevention of increased NEB post calving. | |
| Genetic selection for improved metabolic resilience. | Breeding for cows with greater resistance to metabolic challenges can contribute to long-term herd health. | Expert panel consensus. | Long-term strategy for improving herd-level resistance to ketosis. |
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Kemel, C.; Rijpert-Duvivier, A.C.M.; Strus, N.; Guigui, F.; Vangroenweghe, F. The Future Toolbox for Managing Ketosis in Dairy Cow Herds: A European Key Opinion Leader Consensus. Vet. Sci. 2026, 13, 344. https://doi.org/10.3390/vetsci13040344
Kemel C, Rijpert-Duvivier ACM, Strus N, Guigui F, Vangroenweghe F. The Future Toolbox for Managing Ketosis in Dairy Cow Herds: A European Key Opinion Leader Consensus. Veterinary Sciences. 2026; 13(4):344. https://doi.org/10.3390/vetsci13040344
Chicago/Turabian StyleKemel, Celien, Angelique C. M. Rijpert-Duvivier, Nina Strus, Florian Guigui, and Frédéric Vangroenweghe. 2026. "The Future Toolbox for Managing Ketosis in Dairy Cow Herds: A European Key Opinion Leader Consensus" Veterinary Sciences 13, no. 4: 344. https://doi.org/10.3390/vetsci13040344
APA StyleKemel, C., Rijpert-Duvivier, A. C. M., Strus, N., Guigui, F., & Vangroenweghe, F. (2026). The Future Toolbox for Managing Ketosis in Dairy Cow Herds: A European Key Opinion Leader Consensus. Veterinary Sciences, 13(4), 344. https://doi.org/10.3390/vetsci13040344

