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The Relationship between Performance, Body Composition, and Processing Yield in Broilers: A Systematic Review and

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|October 14, 2022
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Summary
This summary is machine-generated.

This study models broiler performance, body composition, and yield using meta-regression. Key findings show body weight gain impacts feed conversion, which influences protein-to-fat gain, ultimately predicting carcass value.

Keywords:
body compositionbody fatbody proteinbreast meatbroilerslean massmeta-analysismeta-regressionmodelingnet energy

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Area of Science:

  • Animal Science
  • Quantitative Biology
  • Agricultural Economics

Background:

  • Broiler production efficiency relies on understanding the interplay between performance metrics, body composition, and processing yield.
  • Accurate modeling is crucial for optimizing economic returns in the poultry industry.

Purpose of the Study:

  • To model the complex relationships among broiler performance, whole body composition, and processing yield using meta-regression.
  • To identify key factors influencing broiler economic value through quantitative analysis.

Main Methods:

  • A systematic literature search was conducted on Scopus and Google Scholar for relevant studies.
  • Meta-regression analysis was applied to a database of 14 papers (78 rows, 22,256 broilers) examining nine factors.
  • Effect sizes and variability were determined using a random model, with risk of bias and heterogeneity assessed.

Main Results:

  • Meta-regressions revealed an inverse relationship between body weight gain (BWG) and feed conversion ratio (FCR).
  • Changes in FCR were directly related to protein-to-fat gain (PFG), and PFG changes directly correlated with carcass conformation and market value.
  • No significant bias was detected, indicating the data's utility for reliable modeling.

Conclusions:

  • Broiler body composition is a strong predictor of carcass conformation and market value.
  • The study supports the use of body composition analysis for predicting the economic value of broilers.
  • Understanding these relationships can enhance broiler production efficiency and profitability.