Evidence map›Paper›PMID 32164558›Full record

ArticleBMC genetics2020

Genetic and genomic characterization of vulva size traits in Yorkshire and Landrace gilts.

Flor-Anita Corredor, Leticia P Sanglard, Richard J Leach, Jason W Ross, Aileen F Keating, Nick V L Serão

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In one paragraph

Article in BMC genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Flor-Anita CorredorDepartment of Animal Science, Iowa State University, IA50010, Ames, USA.
Leticia P SanglardDepartment of Animal Science, Iowa State University, IA50010, Ames, USA.
Richard J LeachFast Genetics, IA50010, Ames, USA.
Jason W RossDepartment of Animal Science, Iowa State University, IA50010, Ames, USA.
Aileen F KeatingDepartment of Animal Science, Iowa State University, IA50010, Ames, USA.
Nick V L SerãoDepartment of Animal Science, Iowa State University, IA50010, Ames, USA. serao@iastate.edu.ORCID 0000-0002-6758-208X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReproductive performance is critical for efficient swine production. Recent results indicated that vulva size (VS) may be predictive of reproductive performance in sows. Study objectives were to estimate genetic parameters, identify genomic regions associated, and estimate genomic prediction accuracies (GPA) for VS traits.

resultsHeritability estimates of VS traits, vulva area (VA), height (VH), and width (VW) measurements, were moderately to highly heritable in Yorkshire, with 0.46 ± 0.10, 0.55 ± 0.10, 0.31 ± 0.09, respectively, whereas these estimates were low to moderate in Landrace, with 0.16 ± 0.09, 0.24 ± 0.11, and 0.08 ± 0.06, respectively. Genetic correlations within VS traits were very high for both breeds, with the lowest of 0.67 ± 0.29 for VH and VW for Landrace. Genome-wide association studies (GWAS) for Landrace, reveled genomic region associated with VS traits on Sus scrofa chromosome (SSC) 2 (154-157 Mb), 7 (107-110 Mb), 8 (4-6 Mb), and 10 (8-19 Mb). For Yorkshire, genomic regions on SSC 1 (87-91 and 282-287 Mb) and 5 (67 Mb) were identified. All regions explained at least 3.4% of the genetic variance. Accuracies of genomic prediction were moderate in Landrace, ranging from 0.30 (VH) to 0.61 (VA), and lower for Yorkshire, with 0.07 (VW) to 0.11 (VH). Between-breed and multi-breed genomic prediction accuracies were low.

conclusionsOur findings suggest that VS traits are heritable in Landrace and Yorkshire gilts. Genomic analyses show that major QTL control these traits, and they differ between breed. Genomic information can be used to increase genetic gains for these traits in gilts. Additional research must be done to validate the GWAS and genomic prediction results reported in our study.

Indexed as

GenomicsAnimalsBreedingFemaleGenomePhenotypePolymorphism, Single NucleotideQuantitative Trait, HeritableReproductionSus scrofaVulvaGenetic parametersGenomic predictionGiltsGWASReproductionVulva size

Identifiers

PMID32164558
PMCPMC7068987

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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.