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Nine Research Grants Focus on Improving Beef and Swine Antibiotic Use

With the goal of optimizing the use of antibiotics in livestock, the International Consortium for Antimicrobial Stewardship in Agriculture (ICASA) has awarded nine grants to develop management strategies that improve judicious antibiotic use in beef cattle and swine, says a recent release.

Investigating novel and potentially high-impact solutions to promote targeted antibiotic use and advance animal health and welfare, the grant-funded projects speak to the need to accelerate antibiotic stewardship research, says Dr. Saharah Moon Chapotin, Foundation for Food and Agriculture Research (FFAR) executive director.

The following grants have been awarded, according to the release:

— Dr. Raghavendra Amachawadi of Kansas State University (KSU) received $125,000 to identify specific bacterial species in cattle liver abscesses beyond the primary species, Fusobacterium necrophorum, and determine their prevalence and involvement in abscess formation, especially in the under-studied hindgut segment of the gastrointestinal tract. This research could help identify new interventions to minimize the occurrence of liver abscesses in cattle. Micronutrients Corporation, Cargill Incorporated and Phibro Animal Health Corporation are contributing additional funding for a total $280,000 investment.

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Data can provide a clear picture of trends and performance across a swine farm, but its greatest value comes from putting those insights into action. In this episode, Dr. Edison Magalhães, assistant professor in the department of animal science at Iowa State University, discusses how producers can leverage data to make informed decisions that improve herd performance from birth to market. He highlights the challenges of siloed data across different teams, the impact those gaps can have on performance and the importance of integrating data to gain a more complete picture of herd health and productivity. He also explains the PROSPER (Predictors of Swine Performance) tool, which combines data from multiple sources to help producers better understand herd performance.