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A new model for evaluating maintenance energy requirements in dogs: allometric equation from 319 pet dogs

机译:一种评估狗维持能量需求的新模型:319只宠物狗的异速方程

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摘要

Reports concerning maintenance energy requirements (MER) in dogs are common but most of the data cover laboratory or utility dogs. This study establishes those of healthy adult pet dogs and the factors which cause these energy requirements to vary. Within the framework of a nutrition teaching exercise, each student followed a pet from his entourage and gathered accurate records of its feeding habits. Data have been restricted to healthy adult dogs with an ideal body weight (BW) which did not vary more than 5 % during the study period. A total of 319 eligible records were analysed using multiple linear regression. Variation factors such as ownership, breed, sex and neutered status, bedding location, temperament and feeding habits were then analysed individually using a non-parametric model. Two models result from this study, one excluding age (r2 0·813) and a more accurate one which takes into consideration the age in years (r2 0·816). The second model was assessed with the main variation factors and shows that: MER (kcal) = k1 × k2 × k3 × k4 × k5 × 128 × BW0·740 × age−0·050/d (r2 0·836), with k1 the effect of the breed, k2 the effect of sex and neutered status, k3 the effect of bedding location, k4 the effect of temperament and k5 the effect of the type of feed. The resulting model is very similar to the recommendations made by the National Research Council (2006) but a greater accuracy was obtained using age raised to a negative power, as demonstrated in human nutrition.
机译:关于狗的维持能量需求(MER)的报告很常见,但大多数数据涵盖了实验室或实用犬。这项研究确定了健康成年宠物狗的能量,以及引起这些能量需求变化的因素。在营养教学练习的框架内,每个学生都随从随行人员的宠物,并收集了有关其喂养习惯的准确记录。数据仅限于具有理想体重(BW)且在研究期间变化不超过5%的健康成年犬。使用多元线性回归分析了总共319条符合条件的记录。然后使用非参数模型分别分析所有权,品种,性别和绝育状态,床上用品位置,性情和进食习惯等变化因素。这项研究得出了两种模型,一种模型不包括年龄(r 2 0·813),一种更准确的模型考虑了年龄(r 2 0·816)。 )。对第二个模型进行了主要变化因子评估,结果表明:MER(kcal)= k1×k2×k3×k4×k5×128×BW 0·740 ×年龄 -0· 050 / d(r 2 0·836),其中k1是品种的影响,k2是性别和绝育状态的影响,k3是被褥位置的影响,k4是气质和k5对饲料类型的影响。结果模型与国家研究委员会(2006)提出的建议非常相似,但随着年龄增长到负能量,获得了更高的准确性,这在人体营养学中得到了证明。

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