Evidence map›Paper›PMID 42573515›Full record

ArticleJournal of animal science2026

A genome-wide assessment of the population structure of thirteen admixed and pure Australian beef cattle breeds.

Zeinab Manzari, Natalie K Connors, Julius H J van der Werf, David J Johnston, Mohammad H Ferdosi

Abstract read
In one paragraph

Article in Journal of animal science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zeinab ManzariAGBU, A Joint Venture of the NSW Department of Primary Industries and Regional Development, University of New England, Armidale, New South Wales 2351, Australia.ORCID 0009-0002-0875-6374
Natalie K ConnorsAGBU, A Joint Venture of the NSW Department of Primary Industries and Regional Development, University of New England, Armidale, New South Wales 2351, Australia.
Julius H J van der WerfSchool of Environmental and Rural Science, University of New England, Armidale, New South Wales 2351, Australia.ORCID 0000-0003-2512-1696
David J JohnstonAGBU, A Joint Venture of the NSW Department of Primary Industries and Regional Development, University of New England, Armidale, New South Wales 2351, Australia.
Mohammad H FerdosiAGBU, A Joint Venture of the NSW Department of Primary Industries and Regional Development, University of New England, Armidale, New South Wales 2351, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knowledge of population structure is a key factor for successful multi-breed genomic prediction, especially in single-step analysis when metafounders are considered. In Australia, current assessments mostly focus on single breeds using a single-step genomic prediction method. However, the effective integration of pedigree, phenotypic, and genomic data in a multi-breed framework still requires further research, especially for combined analyses including admixed and multi-breed populations. This study began with 602,952 genotyped individuals with 8K SNPs in common from 13 beef cattle breeds (Alexandria, Angus, Brahman, Brangus, Charolais, Droughtmaster, Hereford, Kynuna, Limousin, Santa Gertrudis, Shorthorn, Speckle Park, and Wagyu). Due to different numbers of animals being genotyped in each breed, a representative subset of animals was chosen by employing a validated sampling strategy using Gaussian Mixture Models (GMM) complemented by Principal Component Analysis (PCA) within each breed. Subsequently, a specific number of animals in each cluster were randomly selected to capture the entire genetic diversity per breed, with a total of 260 animals from each breed. The first three principal components explained 59.89% of the total variation, with PC1 (33.54%) clearly separating Bos indicus from Bos taurus lineages. Admixture analysis identified stable ancestral components and defined the genetic makeup of both pure and composite populations. The results showed extensive genetic diversity in some breeds and highlighted distinct genetic differences between Bos indicus and Bos taurus breeds. In addition, six composite breeds' admixture levels confirmed their origin and breed history, revealing a directional shift in ancestry proportions by a longitudinal increase in Brahman ancestry within tropical composites over time. Thus, the findings pave the way for more effective utilization of genetic diversity both within and across populations and provide a framework for designing multi-breed genetic evaluations and breeding programs to improve productivity and profitability in Australian beef production.

Indexed as

Genetic VariationGenomeAnimalsAustraliaBreedingCattleGenome-Wide Association StudyGenotypePolymorphism, Single Nucleotideadmixed breedsAustraliabeef cattlegenomic population structurepure breeds

Identifiers

PMID42573515
PMCPMC13537502

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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.