Evidence map›Paper›PMID 32365996›Full record

ArticleAnimals : an open access journal from MDPI2020

Estimation of Genetic Parameters for Pork Quality, Novel Carcass, Primal-Cut and Growth Traits in Duroc Pigs.

Hannah E Willson, Hinayah Rojas de Oliveira, Allan P Schinckel, Daniela Grossi, Luiz F Brito

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In one paragraph

Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

26 citing papers in PubMed.

  1. Review
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  12. iMeta · 2024
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  14. Review
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  17. Breeding potential for pork belly to the novel economic trait.Journal of animal science and technology · 2023
    Review
  18. Article
  19. Article
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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.

Hannah E WillsonDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.
Hinayah Rojas de OliveiraDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.
Allan P SchinckelDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-8614-7198
Daniela GrossiFast Genetics, Saskatoon, SK S7K 2K6, Canada.
Luiz F BritoDepartment of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-5819-0922

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More recently, swine breeding programs have aimed to include pork quality and novel carcass (e.g., specific primal cuts such as the Boston butt or belly that are not commonly used in selection indexes) and belly traits together with growth, feed efficiency and carcass leanness in the selection indexes of terminal-sire lines, in order to efficiently produce pork with improved quality at a low cost to consumers. In this context, the success of genetic selection for such traits relies on accurate estimates of heritabilities and genetic correlations between traits. The objective of this study was to estimate genetic parameters for 39 traits in Duroc pigs (three growth, eight conventional carcass (commonly measured production traits; e.g., backfat depth), 10 pork quality and 18 novel carcass traits). Phenotypic measurements were collected on 2583 purebred Duroc gilts, and the variance components were estimated using both univariate and bivariate models and REML procedures. Moderate to high heritability estimates were found for most traits, while genetic correlations tended to be low to moderate overall. Moderate to high genetic correlations were found between growth, primal-cuts and novel carcass traits, while low to moderate correlations were found between pork quality and growth and carcass traits. Some genetic antagonisms were observed, but they are of low to moderate magnitude. This indicates that genetic progress can be achieved for all traits when using an adequate selection index.

Indexed as

belly traitgenetic correlationheritabilitymeat qualitypork colorswine

Identifiers

PMID32365996
PMCPMC7278482

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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.