Show Notes
In this special World Cat Day episode of The Pet Food Science Podcast Show, we bring in Sanjana Anan, a postdoctoral researcher at the University of Guelph, who explains how net energy could improve energy evaluation in feline nutrition. Topics include indirect calorimetry, limitations of metabolizable energy equations, diet formulation, sustainability, and the research required to develop reliable predictive models for cats. Listen now on all major platforms!
“Net energy represents dietary energy actually available for feline metabolism after digestive, urinary, and feeding-related heat losses have been properly accounted for.”
Meet the guest: Sanjana Anan https://www.linkedin.com/in/sanjana-farah-anan-b9640b139/ is a postdoctoral researcher in Companion Animal Nutrition at the University of Guelph. Her research focuses on feline energy metabolism, indirect calorimetry, net energy estimation, and nutritional modeling. Her work examines how protein, fiber, carbohydrates, and other dietary factors influence energy utilization in cats. Hear Sanjana Anan discuss feline nutrition research on The Pet Food Science Podcast Show, available on all major platforms.
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What will you learn: (00:00) Highlight (00:52) Introduction (02:56) Net energy basics (06:05) Indirect calorimetry (07:45) Energy equation limits (10:56) Formulation benefits (12:34) Predictive models (19:03) Final Questions
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