Document Type
Article
Publication Date
10-2022
Keywords
body composition; body protein; body fat; lean mass; breast meat; net energy; modeling; meta-regression; meta-analysis; broilers
Abstract
This study aims to model the relationship among performance, whole body composition, and processing yield through meta-regression. Scientific papers found in Scopus and Google Scholar were included if they reported results and variability values of an actual experiment in the three mentioned groups of variables using a single broiler genetic line. Weighted mean effect sizes were determined with a random model, the risk of bias was determined, and heterogeneity was considered an indicator of usefulness. Meta-regressions considered the effect sizes of the response variable and the percent change in one or more variables as predictors. A 78-row database was built from 14 papers, including nine factors tested on 22,256 broilers. No influencing bias was found, and the data was determined useful. Meta-regressions showed that the changes in body weight gain (BWG) are inversely related to the effects in feed conversion ratio (FCR) (p < 0.001) and that the changes in FCR and effects in protein-to-fat gain (PFG) are directly related (p < 0.001). The changes in PFG and the effects on carcass conformation or the market value of birds are directly related (p < 0.001). In conclusion, body composition predicts carcass conformation and its market value, supporting its use to predict the economic value of broilers.
Citation
Martinez, D. A., Weil, J. T., Suesuttajit, N., Umberson, C. A., Scott, A., & Coon, C. N. (2022). The Relationship between Performance, Body Composition, and Processing Yield in Broilers: A Systematic Review and Meta-Regression. Animals, 12 (19), 2706. https://doi.org/10.3390/ani12192706
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
