Evidence map›Paper›PMID 34983377›Full record

ArticleBMC genomics2022

The genomic structure of isolation across breed, country and strain for important South African and Australian sheep populations.

Cornelius Nel, Phillip Gurman, Andrew Swan, Julius van der Werf, Margaretha Snyman, Kennedy Dzama, Klint Gore, Anna Scholtz, Schalk Cloete

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Study of Genetic Progress in the Context of Disconnection Between Two Originally Connected Populations.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
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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

9 authors at 3 institutions in 2 countries.

Cornelius NelDepartment of Animal Sciences, Stellenbosch University, 7602, Stellenbosch, South Africa. NeliusN@elsenburg.com.
Phillip GurmanAnimal Genetics & Breeding Unit, University of New England, NSW, 2351, Armidale, Australia.
Andrew SwanAnimal Genetics & Breeding Unit, University of New England, NSW, 2351, Armidale, Australia.
Julius van der WerfSchool of Environmental and Rural Science, University of New England, 2351, Armidale, NSW, Australia.
Margaretha SnymanDepartment of Agriculture, Land Reform and Rural Development, Grootfontein Agricultural Development Institute, 5900, Middelburg, South Africa.
Kennedy DzamaDepartment of Animal Sciences, Stellenbosch University, 7602, Stellenbosch, South Africa.
Klint GoreAnimal Genetics & Breeding Unit, University of New England, NSW, 2351, Armidale, Australia.
Anna ScholtzAnimal Sciences, Western Cape Department of Agriculture, 7607, Elsenburg, South Africa.
Schalk CloeteDepartment of Animal Sciences, Stellenbosch University, 7602, Stellenbosch, South Africa.
University of New England · AUStellenbosch University · ZAGauteng Department of Agriculture and Rural Development · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSouth Africa and Australia shares multiple important sheep breeds. For some of these breeds, genomic breeding values are provided to breeders in Australia, but not yet in South Africa. Combining genomic resources could facilitate development for across country selection, but the influence of population structures could be important to the compatability of genomic data from varying origins. The genetic structure within and across breeds, countries and strains was evaluated in this study by population genomic parameters derived from SNP-marker data. Populations were first analysed by breed and country of origin and then by subpopulations of South African and Australian Merinos.

resultsMean estimated relatedness according to the genomic relationship matrix varied by breed (-0.11 to 0.16) and bloodline (-0.08 to 0.06) groups and depended on co-ancestry as well as recent genetic links. Measures of divergence across bloodlines (F

conclusionsThis study reinforced the genetic complexity and diversity of important sheep breeds, especially the Merino breed. The results also showed that implications of isolation can be highly variable and extended beyond breed structures. However, knowledge of useful links across these population substructures allows for a fine-tuned approach in the combination of genomic resources. Isolation across country rarely proved restricting compared to other structures considered. Consequently, research into the accuracy of across-country genomic prediction is recommended.

Indexed as

Genetics, PopulationGenomicsAnimalsAustraliaBreedingGenotypeLinkage DisequilibriumSheepSheep, DomesticSouth AfricaAcross-countryGenetic variationMerinoPopulation geneticsSheepSNP markers

Identifiers

PMID34983377
PMCPMC8725491
OpenAlexW4206782029

What OpenQuestion holds

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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.