Evidence map›Paper›PMID 31388877›Full record

ArticleTropical animal health and production2020

Genetic variability and relationships in nine South African cattle breeds using microsatellite markers.

Lené van der Westhuizen, Michael D MacNeil, Michiel M Scholtz, Frederick W C Neser, Makglako L Makgahlela, Japie B van Wyk

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Article in Tropical animal health and production, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Genetic Differentiation among Livestock Breeds-Values for FAnimals : an open access journal from MDPI · 2022
    Article
  4. Article
  5. Article
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.

Lené van der WesthuizenARC-Animal Production, Irene, 0062, South Africa. lenevdwest@gmail.com.
Michael D MacNeilARC-Animal Production, Irene, 0062, South Africa.
Michiel M ScholtzARC-Animal Production, Irene, 0062, South Africa.
Frederick W C NeserUniversity of the Free State, Bloemfontein, 9300, South Africa.
Makglako L MakgahlelaARC-Animal Production, Irene, 0062, South Africa.
Japie B van WykUniversity of the Free State, Bloemfontein, 9300, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variability within and between breeds allows adaptation to a changing environment and consequently prepares producers for the future. Eleven bovine-specific microsatellite markers were used to genotype animals from each of nine South African cattle breeds: Afrikaner (N = 550), Angus (N = 550), Bonsmara (N = 550), Boran (N = 321), Brahman (N = 550), Drakensberger (N = 550), Nguni (N = 550), Simmental (N = 550), and Tuli (N = 311). These breeds were drawn from Bos taurus africanus, Bos taurus, and Bos indicus. Genetic variability estimates included unbiased heterozygosity, effective number of alleles, and inbreeding. Ranges of these parameters were 0.569-0.741, 8.818-11.455, and - 0.001-0.050, respectively. Breed private allele and breed pairwise comparison was also used to characterize the breeds. The analysis of population structure with K = 2 revealed clusters comprised of Sanga-indicine and taurine, while K = 3 included separate clusters of Sanga, indicine, and taurine, and with K = 9 showed the breeds arising from unique progenitor populations. This study broke new ground in molecular cattle genetic diversity by genotyping a large sample size per breed and using a larger number of breeds compared with similar studies that have been conducted in the recent past which have either used a smaller number of breeds or smaller sample sizes but with a larger number of marker loci. Thus, opportunities that arise to explore genetic diversity and relationships in both the livestock and wildlife industries in Southern Africa may capitalize on microsatellite marker databases which remain cost-effective and accessible due to their extensive use for parentage verification.

Indexed as

Genetic VariationAnimalsBreedingCattleMicrosatellite RepeatsSouth AfricaCattleGenetic diversitySangaSouth Africa

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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.