Evidence map›Paper›PMID 33676402›Full record

ArticleGenetics, selection, evolution : GSE2021

Assessing the genetic background and genomic relatedness of red cattle populations originating from Northern Europe.

Christin Schmidtmann, Anna Schönherz, Bernt Guldbrandtsen, Jovana Marjanovic, Mario Calus, Dirk Hinrichs, Georg Thaller

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

21 citing papers in PubMed.

  1. Article
  2. Unravelling the Genetic Structure of Local and Mainstream Red-Pied Cattle Breeds Using Genomics and Extended Pedigree Analysis.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
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  8. Evaluation of genomic breeding values and accuracy for carcass traits in Korean Hanwoo cows using whole-genome SNP chip panels.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  9. Review
  10. Definition of metafounders based on population structure analysis.Genetics, selection, evolution : GSE · 2024
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  11. Article
  12. Article
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  14. Article
  15. Article
  16. Genetic Differentiation among Livestock Breeds-Values for FAnimals : an open access journal from MDPI · 2022
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  17. Article
  18. Review
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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

7 authors.

Christin SchmidtmannInstitute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, 24098, Kiel, Germany. cschmidtmann@tierzucht.uni-kiel.de.ORCID http://orcid.org/0000-0002-0097-3975
Anna SchönherzDepartment of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830, Tjele, Denmark.
Bernt GuldbrandtsenDepartment of Molecular Biology and Genetics, Center for Quantitative Genetics and Genomics, Aarhus University, 8830, Tjele, Denmark.
Jovana MarjanovicAnimal Breeding and Genomics, Wageningen University and Research, 6700AH, Wageningen, The Netherlands.
Mario CalusAnimal Breeding and Genomics, Wageningen University and Research, 6700AH, Wageningen, The Netherlands.
Dirk HinrichsDepartment of Animal Breeding, University of Kassel, 37213, Witzenhausen, Germany.
Georg ThallerInstitute of Animal Breeding and Husbandry, Christian-Albrechts-University Kiel, 24098, Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLocal cattle breeds need special attention, as they are valuable reservoirs of genetic diversity. Appropriate breeding decisions and adequate genomic management of numerically smaller populations are required for their conservation. At this point, the analysis of dense genome-wide marker arrays provides encompassing insights into the genomic constitution of livestock populations. We have analyzed the genetic characterization of ten cattle breeds originating from Germany, The Netherlands and Denmark belonging to the group of red dairy breeds in Northern Europe. The results are intended to provide initial evidence on whether joint genomic breeding strategies of these populations will be successful.

resultsTraditional Danish Red and Groningen White-Headed were the most genetically differentiated breeds and their populations showed the highest levels of inbreeding. In contrast, close genetic relationships and shared ancestry were observed for the populations of German Red and White Dual-Purpose, Dutch Meuse-Rhine-Yssel, and Dutch Deep Red breeds, reflecting their common histories. A considerable amount of gene flow from Red Holstein to German Angler and to German Red and White Dual-Purpose was revealed, which is consistent with frequent crossbreeding to improve productivity of these local breeds. In Red Holstein, marked genomic signatures of selection were reported on chromosome 18, suggesting directed selection for important breeding goal traits. Furthermore, tests for signatures of selection between Red Holstein, Red and White Dual-Purpose, and Meuse-Rhine-Yssel uncovered signals for all investigated pairs of populations. The corresponding genomic regions, which were putatively under different selection pressures, harboured various genes which are associated with traits such as milk and beef production, mastitis and female fertility.

conclusionsThis study provides comprehensive knowledge on the genetic constitution and genomic connectedness of divergent red cattle populations in Northern Europe. The results will help to design and optimize breeding strategies. A joint genomic evaluation including some of the breeds studied here seems feasible.

Indexed as

Genetic BackgroundPolymorphism, GeneticSelective BreedingAnimalsCattlePedigreeQuantitative Trait, HeritableQuantitative Trait Loci

Identifiers

PMID33676402
PMCPMC7936461

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.