Evidence map›Paper›PMID 27029213›Full record

ArticleGenetics, selection, evolution : GSE2016

Genetic diversity analysis of two commercial breeds of pigs using genomic and pedigree data.

Ricardo Zanella, Jane O Peixoto, Fernando F Cardoso, Leandro L Cardoso, Patrícia Biegelmeyer, Maurício E Cantão, Antonio Otaviano, Marcelo S Freitas, Alexandre R Caetano, Mônica C Ledur

Open access · goldAbstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
5.4field-weighted citation impact, top 5% 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

43 citing papers in PubMed, 89 citations in OpenAlex.

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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

10 authors at 6 institutions in 2 countries.

Ricardo ZanellaEmbrapa Swine and Poultry National Research Center, Animal Breeding and Genetics, Concordia, SC, Brazil.
Jane O PeixotoEmbrapa Swine and Poultry National Research Center, Animal Breeding and Genetics, Concordia, SC, Brazil.
Fernando F CardosoEmbrapa Southern Region Animal Husbandry, Bagé, RS, Brazil.
Leandro L CardosoEmbrapa Southern Region Animal Husbandry, Bagé, RS, Brazil.
Patrícia BiegelmeyerPrograma de pós-graduação em Zootecnia/UFPel, Pelotas, RS, Brazil.
Maurício E CantãoEmbrapa Swine and Poultry National Research Center, Animal Breeding and Genetics, Concordia, SC, Brazil.
Antonio OtavianoBRF/SA, Curitiba, PR, Brazil.
Marcelo S FreitasBRF/SA, Curitiba, PR, Brazil.
Alexandre R CaetanoEmbrapa Recursos Genéticos e Biotecnologia, Brasília, DF, Brazil.
Mônica C LedurEmbrapa Swine and Poultry National Research Center, Animal Breeding and Genetics, Concordia, SC, Brazil. monica.ledur@embrapa.br.
Concordia University Wisconsin · USBrf (Brazil) · BRUniversidade Federal de Pelotas · BRBrazilian Agricultural Research Corporation · BRUniversidade de Brasília · BRUniversidade do Estado de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic improvement in livestock populations can be achieved without significantly affecting genetic diversity if mating systems and selection decisions take genetic relationships among individuals into consideration. The objective of this study was to examine the genetic diversity of two commercial breeds of pigs. Genotypes from 1168 Landrace (LA) and 1094 Large White (LW) animals from a commercial breeding program in Brazil were obtained using the Illumina PorcineSNP60 Beadchip. Inbreeding estimates based on pedigree (F x) and genomic information using runs of homozygosity (F ROH) and the single nucleotide polymorphisms (SNP) by SNP inbreeding coefficient (F SNP) were obtained. Linkage disequilibrium (LD), correlation of linkage phase (r) and effective population size (N e ) were also estimated.

resultsEstimates of inbreeding obtained with pedigree information were lower than those obtained with genomic data in both breeds. We observed that the extent of LD was slightly larger at shorter distances between SNPs in the LW population than in the LA population, which indicates that the LW population was derived from a smaller N e . Estimates of N e based on genomic data were equal to 53 and 40 for the current populations of LA and LW, respectively. The correlation of linkage phase between the two breeds was equal to 0.77 at distances up to 50 kb, which suggests that genome-wide association and selection should be performed within breed. Although selection intensities have been stronger in the LA breed than in the LW breed, levels of genomic and pedigree inbreeding were lower for the LA than for the LW breed.

conclusionsThe use of genomic data to evaluate population diversity in livestock animals can provide new and more precise insights about the effects of intense selection for production traits. Resulting information and knowledge can be used to effectively increase response to selection by appropriately managing the rate of inbreeding, minimizing negative effects of inbreeding depression and therefore maintaining desirable levels of genetic diversity.

Indexed as

Genetic VariationPedigreeAnimalsBrazilGenetics, PopulationGenomeGenomicsGenotypeHomozygoteInbreedingLinkage DisequilibriumPolymorphism, Single NucleotideSus scrofa

Identifiers

PMID27029213
PMCPMC4812646
OpenAlexW2333047843

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LicenceCC BY
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Registered trials

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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.