Modelling net energy of commercial cat diets.

Net energy accounts for the proportion of energy expenditure attributed to the digestion, metabolism, and absorption of ingested food. Currently, there are no models available to predict net energy density of food for domestic cats. Therefore, the objectives of this study were to measure the heat in...

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Main Authors: Natalie J Asaro, David J Seymour, Wilfredo D Mansilla, John P Cant, Ruurd T Zijlstra, Kimberley D Berendt, Jason Brewer, Anna K Shoveller
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0218173
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author Natalie J Asaro
David J Seymour
Wilfredo D Mansilla
John P Cant
Ruurd T Zijlstra
Kimberley D Berendt
Jason Brewer
Anna K Shoveller
author_facet Natalie J Asaro
David J Seymour
Wilfredo D Mansilla
John P Cant
Ruurd T Zijlstra
Kimberley D Berendt
Jason Brewer
Anna K Shoveller
author_sort Natalie J Asaro
collection DOAJ
description Net energy accounts for the proportion of energy expenditure attributed to the digestion, metabolism, and absorption of ingested food. Currently, there are no models available to predict net energy density of food for domestic cats. Therefore, the objectives of this study were to measure the heat increment of feeding in cats, and to model the net energy of commercial diets. Metabolizable energy and calorimetry data from two previous studies was reanalyzed to create net energy models in the present study. Energy expenditure was calculated using measurements of CO2 production and O2 consumption. Net energy was determined as the metabolizable energy of the diets minus the heat increment of feeding. The heat increment of feeding was determined as the area under the energy expenditure curve above the resting fed metabolic rate. Eight net energy models were developed using metabolizable energy, 1 of 4 dietary parameters (crude protein, fat, fiber, and starch), and heat increment of feeding values from 0-2 h or 0-21 h. Two hours postprandial, and over the full calorimetry period, the heat increment of feeding amounted for 1.74, and 20.9% of the metabolizable energy, respectively. Of the models tested, the models using crude protein in combination with metabolizable energy as dietary parameters best fit the observed data, thus providing a more accurate estimate of dietary energy availability for cats.
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spelling doaj.art-f7e2480604fb41c1b5a3658465a8915a2022-12-21T22:38:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01146e021817310.1371/journal.pone.0218173Modelling net energy of commercial cat diets.Natalie J AsaroDavid J SeymourWilfredo D MansillaJohn P CantRuurd T ZijlstraKimberley D BerendtJason BrewerAnna K ShovellerNet energy accounts for the proportion of energy expenditure attributed to the digestion, metabolism, and absorption of ingested food. Currently, there are no models available to predict net energy density of food for domestic cats. Therefore, the objectives of this study were to measure the heat increment of feeding in cats, and to model the net energy of commercial diets. Metabolizable energy and calorimetry data from two previous studies was reanalyzed to create net energy models in the present study. Energy expenditure was calculated using measurements of CO2 production and O2 consumption. Net energy was determined as the metabolizable energy of the diets minus the heat increment of feeding. The heat increment of feeding was determined as the area under the energy expenditure curve above the resting fed metabolic rate. Eight net energy models were developed using metabolizable energy, 1 of 4 dietary parameters (crude protein, fat, fiber, and starch), and heat increment of feeding values from 0-2 h or 0-21 h. Two hours postprandial, and over the full calorimetry period, the heat increment of feeding amounted for 1.74, and 20.9% of the metabolizable energy, respectively. Of the models tested, the models using crude protein in combination with metabolizable energy as dietary parameters best fit the observed data, thus providing a more accurate estimate of dietary energy availability for cats.https://doi.org/10.1371/journal.pone.0218173
spellingShingle Natalie J Asaro
David J Seymour
Wilfredo D Mansilla
John P Cant
Ruurd T Zijlstra
Kimberley D Berendt
Jason Brewer
Anna K Shoveller
Modelling net energy of commercial cat diets.
PLoS ONE
title Modelling net energy of commercial cat diets.
title_full Modelling net energy of commercial cat diets.
title_fullStr Modelling net energy of commercial cat diets.
title_full_unstemmed Modelling net energy of commercial cat diets.
title_short Modelling net energy of commercial cat diets.
title_sort modelling net energy of commercial cat diets
url https://doi.org/10.1371/journal.pone.0218173
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