Predictive equations for dietary energy are improved when independently developed for dry and wet food which could benefit both the pet and the environment

ABSTRACT:

Introduction

Measuring energy availability through metabolizable energy feeding studies is the “gold standard” for establishing metabolizable energy concentration. However, predictive equations are often used to estimate metabolizable energy in dog and cat pet foods. The goal of this work was to evaluate the prediction of energy density and compare those predictions to each other and the energy needs of the individual pets.

Methods

Feeding studies used 397 adult dogs and 527 adult cats on 1,028 canine and 847 feline foods. Individual pet results for the estimate of metabolizable energy density were used as outcome variables. Prediction equations were generated from the new data and compared to previously published equations.

Results and discussion

On average the

SUBMITTER: Jewell D 

PROVIDER: S-EPMC9990867 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature