Abstract #547
Section: Companion Animals
Session: Companion Animal Symposium: Bioenergetics of pet food
Format: Oral
Day/Time: Tuesday 2:15 PM–2:45 PM
Location: Suwannee 15
Session: Companion Animal Symposium: Bioenergetics of pet food
Format: Oral
Day/Time: Tuesday 2:15 PM–2:45 PM
Location: Suwannee 15
# 547
ASAS-EAAP Speaker Exchange Presentation: Bioenergetics of pet food.
Ellen Kienzle*1, Britta Dobenecker1, 1Chair of Animal Nutrition and Dietetics, Ludwig-Maximilians-Universität München, Oberschleissheim Germany.
Key Words: pet food, bomb calorimetry, prediction of digestibility
Speaker Bio
ASAS-EAAP Speaker Exchange Presentation: Bioenergetics of pet food.
Ellen Kienzle*1, Britta Dobenecker1, 1Chair of Animal Nutrition and Dietetics, Ludwig-Maximilians-Universität München, Oberschleissheim Germany.
Energy of pet food is evaluated as metabolizable energy (ME). To determine ME heat of combustion in food (gross energy, GE), feces and urine is analyzed. Losses by gases are negligible. GE of the food can be calculated by standard values for heat of combustion of nutrients. Given a typical pet food potential errors in the standard values for heat of combustion of nutrients can add up to a deviation of a maximum of about 8% between GE as analyzed and GE as calculated. In practice there are often deviations of up to 30% between analyzed and calculated GE, mostly due to pitfalls of bomb calorimetry. Five repetitions with an intra-analysis variation coefficient of < 0.4% are necessary to ensure quality. To predict digestibility a fixed value for the digestibility of each nutrient can be used. This works well in a group of rather homogenous foods. Examples are unmodified Atwater factors for homemade western diet type foods for humans and pets. If digestibility is variable within a group of foods it is either necessary to make subgroups of foods with similar digestibilities or to use equations which adjust digestibility such as the prediction of digestibility by fiber in dry matter. For this crude fiber is the analysis of choice because in pet foods it detects mostly unfermentable fiber, which has a stronger impact on energy digestibility than fermentable fiber. Even so subgrouping the foods may present an advantage. The depressive effect of fiber on digestibility is stronger for carbohydrates than for fat, thus subgrouping according to carbohydrate or fat content may increase accuracy of prediction. Subgrouping of foods could even be done by in vitro tests such as an HCl-pepsin test to identify reducing diets with low digestibility of protein. There is little data on renal energy excretion in pets. So far the prediction of renal losses is done by a factor linked to protein intake, which is lower for cats than for dogs in most equations. Presumably the species difference reflects a difference in renal excretion of high energy nitrogen compounds such as hippuric acid, which is derived from phenolic food compounds. Both the content of such compounds in the diet and the ability to degrade these compounds to hippuric acid may contribute to the difference.
Key Words: pet food, bomb calorimetry, prediction of digestibility
Speaker Bio
Ellen Kienzle studied veterinary medicine in Hanover, Germany, she graduated in 1981. She did a doctor thesis on dog nutrition and was board certified in veterinary nutriton in Germany, followed by a habilitation thesis in cat nurition. She was appointed to the chair of animal nutrition and dietetics in Munich at Ludwig-Maximilians-University in 1993. Her work is pet and horse nutriton as well as exotics. She was a member of the NRC subcommittee on dog and cat nutrition. as well as of the corresponding German organisation for horse nutrition. She was founding president of the European College of Veterinary and Comparative Nutrition, and James G Morris Lecturer in Davis 2005