Evidence map›Paper›PMID 41535752›Full record

ArticleGenetics, selection, evolution : GSE2026

Genetic diversity and population structure of U.S. Suffolk sheep participating in the national sheep improvement program.

Carrie S Wilson, Brenda M Murdoch, Luiz F Brito, J Bret Taylor, Artur O Rocha, Brad A Freking, Thomas W Murphy, Ronald M Lewis

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

8 authors.

Carrie S WilsonRange Sheep Production Efficiency Research Unit, USDA, ARS, Dubois, ID, 83423, USA. carrie.wilson@usda.gov.ORCID http://orcid.org/0000-0001-9971-1061
Brenda M MurdochDepartment of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, 83844, USA.
Luiz F BritoDepartment of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA.
J Bret TaylorRange Sheep Production Efficiency Research Unit, USDA, ARS, Dubois, ID, 83423, USA.
Artur O RochaDepartment of Animal Sciences, Purdue University, West Lafayette, IN, 47907, USA.
Brad A FrekingUSDA, ARS, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, NE, 68933, USA.
Thomas W MurphyUSDA, ARS, Roman L. Hruska U.S. Meat Animal Research Center, Clay Center, NE, 68933, USA.
Ronald M LewisDepartment of Animal Science, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA.

Funding

National Institute of Food and Agriculture 2022-67015-36073
6 · The paper itself

Abstract

backgroundThe Suffolk is the primary terminal sire breed in the U.S. As a breed that participates in the National Sheep Improvement Program (NSIP), Suffolk breeders are attempting to accumulate enough genomic information to provide genomic-enhanced estimated breeding values as part of the national genetic evaluations. The effective implementation of genomic selection and management of genetic diversity in the breed require a comprehensive assessment of current genetic diversity and population structure. Therefore, the primary objective of this study is to assess the genetic diversity and population structure present in U.S. Suffolk sheep included in the NSIP using both pedigree- and genomic-based methods. A secondary objective is to compare the levels of genomic diversity of U.S. Suffolk to those from other selected countries.

resultsBased on pedigree (n = 75,161) analyses, the generation interval was 2.8 years, and the effective number of founders and ancestors were 504 and 300, respectively. Effective population size ranged from 28 to 194 based on pedigree-based measures and 75 to 85 based on genomic-based metrics. When the mean inbreeding was compared for the 1,878 genotyped animals (GGP Ovine 50 K BeadChip) that passed quality control, pedigree-based inbreeding; and, inbreeding based on heterozygosity, runs of homozygosity, diagonal of the genomic relationship matrix, and homozygous-by-descent segments were 4.8%, 3.3%, 4.6%, 3.3%, and 3.4%, respectively. Of the 16 flocks with genotyped animals, four had fixation index values that exceeded 0.10, but the model-based population structure showed admixture across all flocks. For the principal component analysis and the model-based population structure with international genomic datasets, the U.S. Suffolks were distinct, the United Kingdom Suffolks were placed in-between but distinct from the other countries, and the Australian, Irish, and New Zealand Suffolks were grouped together.

conclusionsThe current level of genetic diversity and population structure was quantified for the U.S. Suffolk breed. While the rate of inbreeding was at an acceptable level, the effective population size was modest, indicating that monitoring of genetic diversity and strategic mating of less related animals in the breed should continue. As the sheep industry moves forward, regular assessments of genetic diversity and population structure are needed.

Indexed as

Genetic VariationSheep, DomesticAnimalsBreedingFemaleGenetics, PopulationGenotypeInbreedingMalePedigreeSheepUnited States

Identifiers

PMID41535752
PMCPMC12809957

What Socratic holds

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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 Socratic graph.