PROSPER

Predictors of Swine Performance, PROSPER, is a multidisciplinary project tailored to swine producers to enable precision swine health & production management. In short, it consists of aggregating different data streams such as disease status, diagnostic results, productivity, infrastructure, and pig movement in consolidated databases. Once the data is assembled, it allows users to explore whole-herd trends and predictors of performance.

Below are some links to presentations and scientific papers giving practical examples of the application of data sciences on consolidated datasets to unveil important associations on swine health & productivity, including basic analysis of risk factors, forecasting productivity, and identifying causal relationships between diseases on whole-herd productivity:

Magalhaes – Whole-herd risk factors associated with wean-to-finish mortality under the conditions of a Midwestern USA swine production system.

Magalhaes – Comparing forecasting models for predicting nursery mortality under field conditions using regression and machine learning algorithms

Magalhaes – Field implementation of forecasting models for predicting nursery mortality in a midwestern US swine production system

Magalhaes – Utilizing productivity and health breeding-to-market information along with disease diagnostic data to identify pig mortality risk factors in a U.S. swine production system

Are you interested in PROSPER? Contact Dr Edison Magalhaes (edison@iastate.edu) to know more.

Producer-specific PROSPER links with reports, benchmarking analyses, and personalized dashboards:

Production System A
Production System B