Evidence map›Paper›PMID 35308836›Full record

ArticleTranslational animal science2022

Estimation of direct and maternal genetic effects and annotation of potential candidate genes for weight and meat quality traits in a genotyped outdoor dual-purpose cattle breed.

Kathrin Halli, Mehdi Bohlouli, Lisa Schulz, Albert Sundrum, Sven König

Open access · goldAbstract read
In one paragraph

Article in Translational animal science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Genomic insights into the recent evolution and biodiversity of Italian sheep breeds.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
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  5. Review
  6. Identification of theAnimal biotechnology · 2024
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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 at 2 institutions in 1 country.

Kathrin HalliInstitute of Animal Breeding and Genetics, Group Animal Breeding, Justus Liebig University, Giessen, 35390, Germany.ORCID https://orcid.org/0000-0003-2242-0009
Mehdi BohlouliInstitute of Animal Breeding and Genetics, Group Animal Breeding, Justus Liebig University, Giessen, 35390, Germany.ORCID https://orcid.org/0000-0003-4396-577X
Lisa SchulzDepartment of Animal Nutrition and Animal Health, Kassel University, Witzenhausen, 37213, Germany.
Albert SundrumDepartment of Animal Nutrition and Animal Health, Kassel University, Witzenhausen, 37213, Germany.
Sven KönigInstitute of Animal Breeding and Genetics, Group Animal Breeding, Justus Liebig University, Giessen, 35390, Germany.ORCID https://orcid.org/0000-0002-1716-2511
Justus-Liebig-Universität Gießen · DEUniversity of Kassel · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With regard to potential applications of genomic selection in small numbered breeds, we evaluated genomic models and focused on potential candidate gene annotations for weight and meat quality traits in the local Rotes Höhenvieh (RHV) breed. Traits included 6,003 birth weights (BWT), 5,719 200 d-weights (200dw), 4,594 365 d-weights (365dw), and 547 records for intramuscular fat content (IMF). A total of 581,304 SNP from 370 genotyped cattle with phenotypic records were included in genomic analyses. Model evaluations focused on single- and multiple-trait models with direct and with direct and maternal genetic effects. Genetic relationship matrices were based on pedigree (

Indexed as

dual-purpose cattlegenetic parametersmeat qualitySNP markerweight

Identifiers

PMID35308836
PMCPMC8925308
OpenAlexW4210894155

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.