Evidence map›Paper›PMID 29089375›Full record

ArticleG3 (Bethesda, Md.)2017

Long-Term Impact of Optimum Contribution Selection Strategies on Local Livestock Breeds with Historical Introgression Using the Example of German Angler Cattle.

Yu Wang, Dierck Segelke, Reiner Emmerling, Jörn Bennewitz, Robin Wellmann

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
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  10. Article
  11. Potential ofArchives animal breeding · 2019
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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

5 authors.

Yu WangInstitute of Animal Science, University of Hohenheim, 70593 Stuttgart, Germany yu.wang@uni-hohenheim.de.ORCID 0000-0003-3756-6246
Dierck SegelkeVereinigte Informationssysteme Tierhaltung w.V., 27283 Verden, Germany.
Reiner EmmerlingInstitute of Animal Breeding, Bavarian State Research Centre for Agriculture, 85586 Grub, Germany.
Jörn BennewitzInstitute of Animal Science, University of Hohenheim, 70593 Stuttgart, Germany.
Robin WellmannInstitute of Animal Science, University of Hohenheim, 70593 Stuttgart, Germany.ORCID 0000-0003-4748-8042

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long-term performance of different selection strategies was evaluated via simulation using the example of a local cattle breed, German Angler cattle. Different optimum contribution selection (OCS) approaches to maximize genetic gain were compared to a reference scenario without selection and truncation selection. The kinships and migrant contribution (MC) were estimated from genomic data. Truncation selection achieved the highest genetic gain but decreased diversity considerably at native alleles. It also caused the highest increase in MCs. Traditional OCS, which only constrains kinship, achieved almost the same genetic gain but also caused a small increase of MC and remarkably reduced the diversity of native alleles. When MC was required not to increase and the increase of kinship at native alleles was restricted, the MC levels and the diversity at native alleles were well managed, and the genetic gain was only slightly reduced. However, genetic progress was substantially lower in the scenario that aimed to recover the original genetic background. Truncation selection and traditional OCS selection both reduce the genetic originality of breeds with historical introgression. The inclusion of MC and kinship at native alleles as additional constraints in OCS showed great potential for conservation. Recovery of the original genetic background is possible but requires many generations of selection and reduces the genetic progress in performance traits. Hence, constraining MCs at their current values can be recommended to avoid further reduction of genetic originality.

Indexed as

BreedingGenetic VariationSelection, GeneticAllelesAnimalsCattleLivestockPhenotypeconservationgenetic gainmigrant contributionoptimum contribution selectionruns of homozygosity

Identifiers

PMID29089375
PMCPMC5714497

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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.