Evidence map›Paper›PMID 36230447›Full record

ReviewAnimals : an open access journal from MDPI2022

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

Diego A Martinez, Jordan T Weil, Nawin Suesuttajit, Cole Umberson, Abdullah Scott, Craig N Coon

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Diego A MartinezDepartment of Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA.ORCID 0000-0001-6461-6443
Jordan T WeilDepartment of Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA.
Nawin SuesuttajitDepartment of Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA.
Cole UmbersonDepartment of Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA.
Abdullah ScottDepartment of Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA.
Craig N CoonDepartment of Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA.
University of Arkansas at Fayetteville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

body compositionbody fatbody proteinbreast meatbroilerslean massmeta-analysismeta-regressionmodelingnet energy

Identifiers

PMID36230447
PMCPMC9559297
OpenAlexW4303685450

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.