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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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Validating Net Energy in Commercial Swine Systems - Gustavo Lima

Video: Validating Net Energy in Commercial Swine Systems - Gustavo Lima


In this episode of The Swine Nutrition Blackbelt Podcast, Gustavo Lima, PhD candidate at Iowa State University, explains how soybean meal net energy is evaluated using growth assays and calorimetry. He discusses caloric efficiency, validation under commercial conditions, and differences between controlled and real-world environments. Gustavo also highlights practical implications for diet formulation and ingredient valuation. Listen now on all major platforms!

“Indirect calorimetry provides a precise estimation of ingredient energy, yet validation under production conditions remains essential for accurate application in real systems.”

Meet the guest: Gustavo Lima / gustavo-lima-a9867127 is a PhD candidate in Animal Science at Iowa State University, specializing in swine nutrition, ingredient evaluation, and energy metabolism. With over 15 years of experience across Latin America, his work focuses on soybean meal utilization, caloric efficiency, and applied research for commercial production systems.