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Beef Producers Could Have More Precise Way to Manager Herds in the Future

Beef producers in the future could have a more precise way to determine the productivity of their cattle, thanks to a collaboration between Mizzou Engineering and the College of Agriculture, Food and Natural Resources (CAFNR). The project aims to provide a better understanding of how a herd’s environment and management impact productivity, Decker said. Researchers will predict factors such as a cow’s size—surface area to volume ratio—skeletal structure, fat resources and hair coat using 3-D image data. Further, they will create DNA predictions of these traits. This is important for successful beef production, which relies on continual reproduction.

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Season 7, Episode 2: From Data to Decisions in Swine Production

Video: Season 7, Episode 2: From Data to Decisions in Swine Production

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.