Farms.com Home   News

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.

Click here to see more...

Trending Video

2026 T.K. Cheung Lecture in Animal Science - Dan Weary

Video: 2026 T.K. Cheung Lecture in Animal Science - Dan Weary

T.K. Cheung Lecture in Animal Science: "Using science to assess and improve the welfare of dairy cattle"

Dan Weary is a Professor at the University of British Columbia. Dan did his BSc and MSc at McGill and Doctorate at Oxford before co-founding UBC’s Animal Welfare Program where he now co-directs this active research group. His research focuses on understanding the perspectives of animals and applying these insights to develop methods of assessing animal welfare and improving the lives of animals. His work has helped drive changes in practices (including the adoption of higher milk rations for calves and pain management for disbudding) and housing methods (including the adoption of social housing for pre-weaned calves). He also studies cow comfort and lameness, social interactions among cows, and interactions between cows, human handlers and technologies like automated millking systems that are increasingly used on farms. His presentation will outline key questions in cattle welfare, highlight recent UBC research addressing them, and showcase innovative methods for improving the lives of cattle and their caretakers.