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Updated: Apr 30, 2026

Using Chronic Social Stress to Model Postpartum Depression in Lactating Rodents

Using Chronic Social Stress to Model Postpartum Depression in Lactating Rodents

Published on: June 10, 2013

Risk factors for postpartum problems in dairy cows: explanatory and predictive modeling.

C F Vergara¹, D Döpfer¹, N B Cook¹

¹School of Veterinary Medicine, University of Wisconsin, Madison 53706.

Journal of Dairy Science

|May 6, 2014

Summary

This summary is machine-generated.

Identifying postpartum disease risks in dairy cows is crucial for herd health. This study developed models to predict treatment or removal from the herd within 30 days, aiding dairy producers in managing herd productivity.

Keywords:

explanatory modeling postpartum problems predictive modeling transition period

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Area of Science:

Veterinary Medicine
Dairy Science
Animal Health

Background:

Postpartum dairy cattle face high disease incidence and herd removal risks.
Postpartum diseases share risk factors, potentially triggering a cascade of health issues.

Purpose of the Study:

To develop explanatory and predictive models for treatment or removal from the herd within 30 days in milk (TXR30).
To identify key risk factors for TXR30 in multiparous and primiparous dairy cows.

Main Methods:

A cohort study involving 765 multiparous and 544 primiparous Holstein cows from four commercial dairy herds.
Data collected pre-calving or within 24 hours of calving were used to build predictive models.
Models were developed separately for multiparous and primiparous cows due to differences in available historical data.

Main Results:

For multiparous cows, increased lactation number, poor locomotion score, calving abnormalities, and longer previous lactation length increased TXR30 risk. Higher previous milk yield decreased this risk.
For primiparous cows, calving abnormalities were the sole significant predictor for TXR30.
Predictive models achieved an Area Under the Curve (AUC) of 0.70 for multiparous cows (60% sensitivity) and 0.66 for primiparous cows (35% sensitivity).

Conclusions:

Key risk factors for postpartum treatment or removal were identified for both cow groups.
Developed equations can predict TXR30, enabling dairy producers to better understand and manage postpartum health challenges.
Early identification of risk factors can improve dairy herd management and reduce economic losses.