Centre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, Canada.
Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, Canada.
PLoS One. 2019 Jun 11;14(6):e0218173. doi: 10.1371/journal.pone.0218173. eCollection 2019.
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.
净能是指用于消化、代谢和吸收摄入食物的能量支出的比例。目前,还没有模型可以预测家猫的食物净能密度。因此,本研究的目的是测量猫的采食增热,并建立商业日粮的净能模型。本研究重新分析了之前两项研究中的可代谢能和量热学数据,以建立净能模型。通过测量二氧化碳生成和氧气消耗来计算能量消耗。净能是指日粮的可代谢能减去采食增热。采食增热是通过休息进食代谢率以上的能量消耗曲线下的面积来确定的。使用可代谢能、4 种日粮参数(粗蛋白、脂肪、纤维和淀粉)中的 1 种以及 0-2 小时或 0-21 小时的采食增热值,开发了 8 种净能模型。餐后 2 小时和整个量热期,采食增热分别占可代谢能的 1.74%和 20.9%。在所测试的模型中,使用粗蛋白与可代谢能相结合作为日粮参数的模型最能拟合观察到的数据,从而为猫提供了更准确的日粮能量可利用性估计。