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Investigating perinatal calf mortality in beef herds
S E Wikse1, M L Kinsel, R W Field
1Department of Large Animal Medicine and Surgery, Texas A&M University, College of Veterinary Medicine, College Station.
Summary
Investigating perinatal calf mortality (PCM) requires a risk-factor approach. Necropsies and statistical methods help identify causes and implement effective management plans to reduce calf losses.
Area of Science:
- Veterinary Medicine
- Animal Science
- Livestock Health
Background:
- Perinatal calf mortality (PCM) presents a significant challenge in livestock production.
- Identifying the underlying causes of PCM is crucial for effective herd management.
Purpose of the Study:
- To outline a risk-factor-evaluation approach for investigating PCM.
- To detail the role of necropsies and statistical analysis in determining PCM causes.
Main Methods:
- Utilizing necropsies to identify gross lesions associated with major PCM causes.
- Employing 2x2 tables to calculate odds ratios for suspected risk factors.
- Applying the Chi-square method to validate the statistical significance of risk factors.
Main Results:
- Necropsies provide essential data on the pathological conditions leading to PCM.
- Statistical analysis (odds ratios and Chi-square) can identify significant risk factors contributing to calf mortality.
- A structured approach aids in pinpointing the primary drivers of PCM.
Conclusions:
- A systematic investigation combining necropsies and statistical analysis is effective for diagnosing PCM.
- Implementing targeted management plans based on identified risk factors can mitigate calf losses.
- Understanding PCM etiology is key to improving calf survival rates and herd productivity.