Evidence map›Paper›PMID 34327592›Full record

SynthesisTropical animal health and production2021

Random-effect meta-analysis of genetic parameter estimates for carcass and meat quality traits in beef cattle.

Giovanni Coelho Ladeira, José Teodoro de Paiva, Hinayah Rojas de Oliveira, Eula Regina Carrara, Fabrício Pilonetto, Felipe André Oliveira Freitas, Elisangela Chicaroni de Mattos, Joanir Pereira Eler, José Bento Sterman Ferraz, Leila de Genova Gaya

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tropical animal health and production, 2021. 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
–field-weighted citation impact
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.

  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

10 authors.

Giovanni Coelho LadeiraDepartment of Animal Science, Universidade Federal de São João del-Rei, São João del-Rei, Minas Gerais, Brazil. giovanniladeira@usp.br.ORCID http://orcid.org/0000-0003-2925-3266
José Teodoro de PaivaDepartment of Animal Science, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0003-4739-9736
Hinayah Rojas de OliveiraCentre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada.ORCID http://orcid.org/0000-0002-0355-8902
Eula Regina CarraraDepartment of Animal Science, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0002-3477-6929
Fabrício PilonettoDepartment of Animal Science, Universidade de São Paulo/ESALQ, Piracicaba, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-2161-0831
Felipe André Oliveira FreitasDepartment of Animal Science, Universidade Federal de São João del-Rei, São João del-Rei, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0002-8168-7144
Elisangela Chicaroni de MattosDepartment of Animal Science, Universidade de São Paulo/FZEA, Pirassununga, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-6461-6360
Joanir Pereira ElerDepartment of Animal Science, Universidade de São Paulo/FZEA, Pirassununga, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-2939-4798
José Bento Sterman FerrazDepartment of Animal Science, Universidade de São Paulo/FZEA, Pirassununga, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-3874-3104
Leila de Genova GayaDepartment of Animal Science, Universidade Federal de São João del-Rei, São João del-Rei, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0001-5004-1394

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considerable variability of genetic parameter estimates is observed among different studies for the same trait, which is associated with the distinct effects included in the statistical model, population breed, and sample sizes. The random-effect meta-analysis summarizes genetic parameters considering the heterogeneity among studies. Therefore, the aim of this study was to perform a random-effect meta-analysis of heritability and genetic correlation estimates for carcass and meat quality traits in beef cattle. A total of 152 estimates of heritability and 83 genetic correlations for longissimus muscle area (LMA), back fat thickness (BFT), and marbling score (MRB) were used. High heterogeneity among published studies was observed for all traits, indicating the need of a random-effects model to perform the analysis. Estimates of heritability through the meta-analysis using the random-effects model were high (0.30 to 0.34), indicating that fast genetic progress can be obtained for these traits. However, genetic correlations had low magnitude (lower than 0.25), which suggested that all three traits should be included in the selection scheme.

Indexed as

MeatMuscle, SkeletalAnimalsBody CompositionCattleModels, GeneticPhenotypeBack fat thicknessBeef cattleGenetic correlationHeritabilityLongissimus muscleMarbling score

Identifiers

PMID34327592

What OpenQuestion holds

Textmetadata
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.