The use of large databases to inform the development of an intestinal scoring system for the poultry industry

The objective of this study was to use data from the HTSi dataset to investigate the association between health conditions contained within the I2 index and five performance outcomes: average daily gain (ADG), mortality during the first week, feed conversion ratio (FCR), European Production Efficiency Factor (EPEF), and percent livability. At the time of analysis, the HTSi dataset contained information from the years 2006–2015 on 921,646 individual bird necropsy records from over 153,576 flocks at 1,570 broiler production flows across 53 countries. Flock-level production data used for this study were available for a subset of this population, 33,212 total flocks representing 6 US and 4 UK production flows. A separate multivariable linear or logistic regression model, with farm as a random effect, was built for each of the five outcomes mentioned above. All models controlled for clustering of flocks within production flows. Significant associations were found between key performance indicators and ten intestinal conditions (gross E. acervulina, gross E. maxima, microscopic E. maxima, gizzard erosions, roundworms, excessive intestinal fluid, thin intestines, excessive intestinal mucus, feed passage, and necrotic enteritis) and two management parameters (production flow and down time). Results from this study demonstrate that large databases, such as the HTSi database, can be used to inform and evaluate changes that can optimize intestinal health, and hence welfare, productivi...
Source: Preventive Veterinary Medicine - Category: Veterinary Research Source Type: research