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Predicting nutrient digestibility and energy value for broilers.

S Cerrate1, R Ekmay2, J A England3

  • 1Aviagen Inc., Huntsville, AL 35806, USA.

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|April 11, 2019
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Summary
This summary is machine-generated.

This study determined nutrient digestibility, metabolizable energy (ME), and net energy (NE) in broiler chickens. Enzyme inclusion improved nutrient digestion, and digestible nutrients accurately predicted energy values in feed formulations.

Keywords:
enzymemetabolizability of energymetabolizable energynet energy

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Area of Science:

  • Animal Nutrition
  • Poultry Science
  • Feed Evaluation

Background:

  • Accurate estimation of energy utilization is crucial for optimizing broiler chicken diets.
  • Understanding nutrient digestibility and energy partitioning is essential for feed formulation and cost-effectiveness.
  • The impact of dietary components and enzymes on energy metabolism in young broilers requires detailed investigation.

Purpose of the Study:

  • To determine the digestibility coefficients of nutrients, metabolizable energy (ME), and net energy (NE) in broiler chickens fed various diets.
  • To evaluate the influence of dietary protein, fat, fiber, and enzyme supplementation on energy utilization.
  • To develop predictive equations for ME and NE based on diet composition and nutrient digestibility.

Main Methods:

  • Conducted feeding trials with broiler chickens (1-21 days) using 20 different diets.
  • Measured apparent digestibility coefficients and ME in battery cages; NE was determined in floor pens.
  • Utilized dual-energy x-ray absorptiometry for body composition analysis to calculate NE for gain.

Main Results:

  • Digestibility coefficients for protein and NDF showed curvilinear relationships with dietary levels, while fat and starch showed linear correlations.
  • Enzyme supplementation (xylanase, glucanase, phytase) significantly improved NDF digestibility.
  • Metabolizable energy (ME) values were accurately predicted using digestible nutrients, with digestible nutrients providing the best prediction for ME.
  • Energetic efficiencies (NE/ME) varied, with digestible fat showing the highest efficiency (86%) and digestible protein the lowest (59-76%).

Conclusions:

  • Digestible nutrient content is a reliable predictor of ME in broiler diets.
  • Enzymes enhance nutrient digestibility, particularly for fiber components.
  • Accurate energy prediction models are vital for optimizing broiler nutrition and feed formulation strategies.