Beef Producers Could Have More Precise Way to Manage Herds
“The goal is to maximize intake versus the output such as meat production,” said University of Missouri’s Associate Professor of electrical engineering and computer science Guilherme DeSouza. “From an engineering point of view, we want to optimize the process.”
DeSouza is working with University of Missouri’s CAFNR Associate Professor Jared Decker, who, recently received a $500,000 grant from the USDA’s National Institute of Food and Agriculture for the work.
The project aims to provide a better understanding of how a herd’s environment and management impact productivity. 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. For more information, read the Mizzou article.