Net energy prediction and energy efficiency of feed for broiler chickens

Author(s)
Wu, Shu-Biao
Swick, Robert A
Noblet, Jean
Rodgers, Nicholas
Cadogan, David
Choct, Mingan
Publication Date
2019-03-01
Abstract
Global consumption of chicken meat has increased at a faster rate than any other animal protein source, and thus refinements in energy formulation techniques for feed have continued to gain importance. Formulation of animal feed based on net energy (NE) has been implemented in ruminants and pigs but not in poultry. A closed-circuit respiratory calorimetry system was employed on 25- to 28-day-old broilers fed 19 diets formulated with varying nutrient composition to produce equations to predict NE and apparent metabolizable energy (AME) efficiency of feed for broiler chickens. Performance, energy and N balance, respiratory quotient, and energy utilization were measured in the birds. Linear regression analysis was performed to generate prediction equations for dietary energy content and AME efficiency. The NE content was positively related to AME and ether extract, but negatively to crude protein. The study generated equations that can accurately predict NE, and NE/AME using AME value and chemical composition of feeds. The NE prediction equations were further validated on a separate set of diets with high correlation (r = 0.99) and accuracy. The outcomes are an important step for the broiler industry to adapt to an NE system in place of AME systems for the formulation of broiler chicken feeds following robust validation experiments.
Citation
Poultry Science, 98(3), p. 1222-1234
ISSN
1525-3171
0032-5791
Pubmed ID
30265337
Link
Publisher
Elsevier BV
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Title
Net energy prediction and energy efficiency of feed for broiler chickens
Type of document
Journal Article
Entity Type
Publication

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