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The use of large databases to inform the development of an intestinal scoring system for the poultry industry.
Kasab-Bachi, H; Arruda, A G; Roberts, T E; Wilson, J B.
Afiliação
  • Kasab-Bachi H; Novometrix Research Inc., 4564 Nassagaweya-Puslinch Townline, Moffat, ON L0P 1J0, Canada.
  • Arruda AG; Department of Preventive Veterinary Medicine, The Ohio State University, Columbus, OH 43210, United States.
  • Roberts TE; Novometrix Research Inc., 4564 Nassagaweya-Puslinch Townline, Moffat, ON L0P 1J0, Canada. Electronic address: tara.roberts@novometrix.com.
  • Wilson JB; Novometrix Research Inc., 4564 Nassagaweya-Puslinch Townline, Moffat, ON L0P 1J0, Canada; Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada.
Prev Vet Med ; 146: 130-135, 2017 Oct 01.
Article em En | MEDLINE | ID: mdl-28992917
ABSTRACT
There is increasing interest among the poultry industry to develop a comprehensive index that can be used to evaluate overall intestinal health and impact on production performance. The Intestinal Integrity (I2) index is a quantitative measurement tool used to assess the intestinal health of flocks that use the Health Tracking System (HTSi), a global surveillance system developed by Elanco Animal Health that captures flock-level information on health and performance. To generate an I2 index score for a flock, the presence of 23 intestinal health conditions is assessed and recorded, then entered into a mathematical equation. 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, productivity, and sustainability of the poultry industry. In addition, large databases can be used for monitoring and benchmarking intestinal health of poultry and informing the development of innovative indices such as the I2 index for scoring intestinal health and providing routine data for its calculation.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças das Aves Domésticas / Vigilância da População / Enteropatias Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças das Aves Domésticas / Vigilância da População / Enteropatias Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Animals Idioma: En Ano de publicação: 2017 Tipo de documento: Article