Evidence map›Paper›PMID 32979243›Full record

ArticleJournal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie2021

Microbiability of meat quality and carcass composition traits in swine.

Piush Khanal, Christian Maltecca, Clint Schwab, Justin Fix, Francesco Tiezzi

Open access · hybridAbstract read
In one paragraph

Article in Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 58 citations in OpenAlex.

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  10. Multiple-trait genomic prediction for swine meat quality traits using gut microbiome features as a correlated trait.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025
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  14. On the holobiont 'predictome' of immunocompetence in pigs.Genetics, selection, evolution : GSE · 2023
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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

5 authors at 2 institutions in 1 country.

Piush KhanalDepartment of Animal Science, North Carolina State University, Raleigh, NC, USA.ORCID https://orcid.org/0000-0003-1079-5102
Christian MalteccaDepartment of Animal Science, North Carolina State University, Raleigh, NC, USA.ORCID https://orcid.org/0000-0002-9996-4680
Clint SchwabThe Maschhoffs LLC, Carlyle, IL, USA.
Justin FixThe Maschhoffs LLC, Carlyle, IL, USA.
Francesco TiezziDepartment of Animal Science, North Carolina State University, Raleigh, NC, USA.
North Carolina State University · USCarle Foundation Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of gut microbiome composition was investigated at different stages of production (weaning, Mid-test and Off-test) on meat quality and carcass composition traits of 1,123 three-way crossbred pigs. Data were analysed using linear mixed models which included the fixed effects of dam line, contemporary group and gender as well as the random effects of pen, animal and microbiome information at different stages. The contribution of the microbiome to all traits was prominent although it varied over time, increasing from weaning to Off-test for most traits. Microbiability estimates of carcass composition traits were greater than that of meat quality traits. Among all of the traits analysed, belly weight (BEL) had a higher microbiability estimate (0.29 ± 0.04). Adding microbiome information did not affect the estimates of genomic heritability of meat quality traits but affected the estimates of carcass composition traits. Fat depth had a greater decrease (10%) in genomic heritability at Off-test. High microbial correlations were found among different traits, particularly with traits related to fat deposition with a decrease in the genomic correlation up to 20% for loin weight and BEL. This suggested that genomic correlation was partially contributed by genetic similarity of microbiome composition. The results indicated that better understanding of microbial composition could aid the improvement of complex traits, particularly the carcass composition traits in swine by inclusion of microbiome information in the genetic evaluation process.

Indexed as

GenomePork MeatAnimalsBody CompositionBody WeightPhenotypeSwineWeaningheritabilitymeat quality and carcass composition traitsmicrobiabilitymicrobial diversitymicrobiome

Identifiers

PMID32979243
PMCPMC7891674
OpenAlexW3088214666

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.