Elucidating the Varying Impact of Necrotic Enteritis Using Performance and Health Indicators in Broiler Infection...

Area of Science:

• Poultry Science
• Animal Health
• Infectious Disease Modeling

Background:

• Necrotic enteritis (NE) poses a significant economic threat to the poultry industry, exacerbated by the need to reduce antibiotic usage.
• NE challenge models are crucial for studying infection biology and developing novel interventions, but data comparing models and metrics are limited.
• Variability in challenge models and outcome measures hinders accurate assessment of intervention efficacy.

Purpose of the Study:

• To compare data from multiple NE challenge models across different geographical regions.
• To identify quantitative metrics that effectively differentiate between non-challenged control (NC) and challenged control (CC) groups.
• To determine the most accurate measures for predicting intervention efficacy in NE models.

Main Methods:

• Data from 10 independent NE-challenge trials using six challenge models in four regions were analyzed.
• Response variables included growth performance (weight gain, feed intake, FCR), health (mortality, lesion scores), and gut integrity (protein expression, permeability).
• Principal Component Analysis (PCA) was employed to discriminate between NC and CC groups using various response variables.

Main Results:

• Significant variability in bird responses to NE challenge was observed among models and trials.
• Lesion scores, NE-related mortality, reduced body weight, and increased FCR were consistently higher in CC versus NC groups.
• PCA combining performance and gut integrity variables, with data standardization, achieved better discrimination between NC and CC groups than performance indicators alone.

Conclusions:

• NE challenge models exhibit considerable variability, impacting the assessment of intervention efficacy.
• Integrating gut integrity metrics with performance indicators provides a more robust evaluation of NE challenge models.
• Key indicators like body weight, feed intake, FCR, mortality, and lesion scores, when analyzed together, can effectively predict NE status and intervention outcomes.