Evidence map›Paper›PMID 36274137›Full record

ArticleGenetics, selection, evolution : GSE2022

Inbreeding and pedigree analysis of the European red dairy cattle.

Sofia Nyman, Anna M Johansson, Valentina Palucci, Anna A Schönherz, Bernt Guldbrandtsen, Dirk Hinrichs, Dirk-Jan de Koning

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Recent population history in Swedish cattle breeds.Genetics, selection, evolution : GSE · 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

7 authors.

Sofia NymanDepartment of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden. sofia.nyman@vxa.se.
Anna M JohanssonDepartment of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Valentina PalucciInterbull Centre, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Anna A SchönherzDepartment of Animal Science, Aarhus University, Tjele, Denmark.
Bernt GuldbrandtsenDepartment of Animal Science, Aarhus University, Tjele, Denmark.
Dirk HinrichsDepartment of Animal Breeding, University of Kassel, Witzenhausen, Germany.
Dirk-Jan de KoningDepartment of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden. DJ.De-Koning@slu.se.ORCID http://orcid.org/0000-0001-6343-8155

Funding

Svenska Forskningsrådet Formas 2017-00149
6 · The paper itself

Abstract

backgroundRed dairy cattle breeds have an important role in the European dairy sector because of their functional characteristics and good health. Extensive pedigree information is available for these breeds and provides a unique opportunity to examine their population structure, such as effective population size, depth of the pedigree, and effective number of founders and ancestors, and inbreeding levels. Animals with the highest genetic contributions were identified. Pedigree data included 9,073,403 animals that were born between 1900 and 2019 from Denmark, Finland, Germany, Latvia, Lithuania, the Netherlands, Norway, Poland, and Sweden, and covered 32 breeds. The numerically largest breeds were Red Dairy Cattle and Meuse-Rhine-Yssel.

resultsThe deepest average complete generation equivalent (9.39) was found for Red Dairy Cattle in 2017. Mean pedigree completeness ranged from 0.6 for Finncattle to 7.51 for Red Dairy Cattle. An effective population size of 166 animals was estimated for the total pedigree and ranged from 35 (Rotes Höhenvieh) to 226 (Red Dairy Cattle). Average generation intervals were between 5 and 7 years. The mean inbreeding coefficient for animals born between 1960 and 2018 was 1.5%, with the highest inbreeding coefficients observed for Traditional Angler (4.2%) and Rotes Höhenvieh (4.1%). The most influential animal was a Dutch Meuse-Rhine-Yssel bull born in 1960. The mean inbreeding level for animals born between 2016 and 2018 was 2% and highest for the Meuse-Rhine-Yssel (4.64%) and Rotes Hohenvieh breeds (3.80%).

conclusionsWe provide the first detailed analysis of the genetic diversity and inbreeding levels of the European red dairy cattle breeds. Rotes Höhenvieh and Traditional Angler have high inbreeding levels and are either close to or below the minimal recommended effective population size, thus it is necessary to implement tools to monitor the selection process in order to control inbreeding in these breeds. Red Dairy Cattle, Vorderwälder, Swedish Polled and Hinterwälder hold more genetic diversity. Regarding the Meuse-Rhine-Yssel breed, given its decreased population size, increased inbreeding and low effective population size, we recommend implementation of a breeding program to prevent further loss in its genetic diversity.

Indexed as

Genetic VariationInbreedingAnimalsCattleMalePedigreePopulation DensityRecords

Identifiers

PMID36274137
PMCPMC9590155

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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.