Evidence map›Paper›PMID 35771897›Full record

ArticleJournal of animal science2022

Genetic architecture of a composite beef cattle population.

El Hamidi Hay, Sajjad Toghiani, Andrew J Roberts, Tiago Paim, Larry Alexander Kuehn, Harvey D Blackburn

Open access · bronzeAbstract read
In one paragraph

Article in Journal of animal science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Genomic analysis of breed composition and population structure in Montana composite cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 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

6 authors at 2 institutions in 2 countries.

El Hamidi HayUSDA Agricultural Research Service, Fort Keogh Livestock and Range Research Laboratory, Miles City, MT 59301, USA.
Sajjad ToghianiUSDA Agricultural Research Service, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA.ORCID 0000-0002-5090-728X
Andrew J RobertsUSDA Agricultural Research Service, Fort Keogh Livestock and Range Research Laboratory, Miles City, MT 59301, USA.ORCID 0000-0001-8720-322X
Tiago PaimInstituto Federal de Educação, Ciência e Tecnologia Goiano, Campus Rio Verde, Rio Verde, Goias, 76200-000, Brazil.ORCID 0000-0002-9486-7128
Larry Alexander KuehnUSDA Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA.ORCID 0000-0002-7573-5365
Harvey D BlackburnNational Center for Genetic Resources Preservation, USDA, Fort Collins, CO 80521, USA.
Agricultural Research Service · USInstituto Federal Goiano · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Composite breeds are widely used in the beef industry. Composites allow producers to combine desirable traits from the progenitor breeds and simplify herd management, without repeated crossbreeding and maintenance of purebreds. In this study, genomic information was used to evaluate the genetic composition and characteristics of a three-breed beef cattle composite. This composite population referred to as Composite Gene Combination (CGC) consisted of 50% Red Angus, 25% Charolais, and 25% Tarentaise. A total of 248 animals were used in this study: CGC (n = 79), Red Angus (n = 61), Charolais (n = 79), and Tarentaise (n = 29). All animals were genotyped with 777k HD panel. Principal component and ADMIXTURE analyses were carried out to evaluate the genetic structure of CGC animals. The ADMIXTURE revealed the proportion of Tarentaise increased to approximately 57%, whereas Charolais decreased to approximately 5% and Red Angus decreased to 38% across generations. To evaluate these changes in the genomic composition across different breeds and in CGC across generations, runs of homozygosity (ROH) were conducted. This analysis showed Red Angus to have the highest total length of ROH segments per animal with a mean of 349.92 Mb and lowest in CGC with a mean of 141.10 Mb. Furthermore, it showed the formation of new haplotypes in CGC around the sixth generation. Selection signatures were evaluated through Fst and HapFlk analyses. Several selection sweeps in CGC were identified especially in chromosomes 5 and 14 which have previously been reported to be associated with coat color and growth traits. The study supports our previous findings that progenitor combinations are not stable over generations and that either direct or natural selection plays a role in modifying the progenitor proportions. Furthermore, the results showed that Tarentaise contributed useful attributes to the composite in a cool semi-arid environment and suggests a re-exploration of this breed's role may be warranted.

Indexed as

GenomeSelection, GeneticAnimalsCattleGenomicsGenotypePhenotypePolymorphism, Single Nucleotidecompositeruns of homozygosityselection signatures

Identifiers

PMID35771897
PMCPMC9467035
OpenAlexW4283752493

What Socratic holds

Textmetadata
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 Socratic graph.