Data Driven Enhancements to the Intestinal Integrity (I2) Index: A Novel Approach to Support Poultry Sustainability
| Autor: | Jeffrey B. Wilson, Jocelyn Rivers, Hind Kasab-Bachi, Alexandra L. Swirski |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Index (economics)
040301 veterinary sciences animal diseases Plant Science Feed conversion ratio Data-driven 0403 veterinary science TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY Statistics lcsh:Agriculture (General) intestinal integrity Mathematics intestinal index Animal health business.industry poultry 0402 animal and dairy science 04 agricultural and veterinary sciences Production efficiency Poultry farming lcsh:S1-972 040201 dairy & animal science Sustainability Flock business Agronomy and Crop Science performance Food Science |
| Zdroj: | Agriculture, Vol 10, Iss 320, p 320 (2020) Agriculture Volume 10 Issue 8 |
| ISSN: | 2077-0472 |
| DOI: | 10.3390/agriculture10080320 |
| Popis: | Background: Optimizing the intestinal integrity of poultry flocks through a comprehensive index measure, such as the intestinal integrity (I2) index, could help to promote sustainable production in the poultry industry. The I2 index is a tool for assessing the intestinal health of flocks based on flock level health and performance data, captured by Elanco Animal Health&rsquo s global surveillance system, i.e., the Health Tracking System (HTSi). The objectives of this study were to evaluate the relationships between the proposed I2 index and each of the following four performance parameters: average daily gain (ADG), feed conversion ratio (FCR), European production efficiency factor (EPEF), and percent livability and compare the ability of the proposed I2 index to predict these performance parameters with the current I2 index. Results: The proposed I2 index was found to produce a greater range and increased variation in flock level I2 index scores as compared with the current I2 index. The proposed I2 index was found to predict the four performance measures at least as well as the current I2 index, and the results suggested that the proposed I2 index could be superior at predicting ADG, EPEF, and percent livability. Conclusion: Our results highlight the strength of data-driven approaches in the development and improvement of comprehensive health metrics. |
| Databáze: | OpenAIRE |
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