ArticleTropical animal health and production2016
Genetic diversity in South African Nguni cattle ecotypes based on microsatellite markers.
Article in Tropical animal health and production, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- A systematic review on the prospects of X- and Y-sexed semen in ruminant livestock: implications for conservation, a South African perspective.Frontiers in veterinary science · 2024Pooled it
- Genetic Diversity and Population Structure of Zambian Indigenous Cattle.Veterinary medicine and science · 2026Article
- Genetic diversity of cattle in three regions of Gauteng province in South Africa using microsatellite markers.Tropical animal health and production · 2026Article
- Exploring Meiotic Recombination and Its Potential Benefits in South African Beef Cattle: A Review.Veterinary sciences · 2025Review
- Linkage Disequilibrium, Haplotype Block Structures, Effective Population Size and Genome-Wide Signatures of Selection of Two Conservation Herds of the South African Nguni Cattle.Animals : an open access journal from MDPI · 2022Article
- Assessment of genetic diversity and relationship of the two Sanga type cattle of Botswana based on microsatellite markers.Tropical animal health and production · 2022Article
- Genetics of Base Coat Colour Variations and Coat Colour-Patterns of the South African Nguni Cattle Investigated Using High-Density SNP Genotypes.Frontiers in genetics · 2022Article
- Assessment of genetic diversity and population structure of Colombian Creole cattle using microsatellites.Tropical animal health and production · 2021Article
- Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations.Frontiers in genetics · 2021Article
- Microsatellite Diversity and Phylogenetic Relationships among East EurasianAnimals : an open access journal from MDPI · 2020Article
- Correlation and path analysis of body weight and biometric traits of Nguni cattle breed.Journal of advanced veterinary and animal research · 2020Article
- Genetic diversity and relationships among three Southern African Nguni cattle populations.Tropical animal health and production · 2020Article
- Breed Ancestry, Divergence, Admixture, and Selection Patterns of the Simbra Crossbreed.Frontiers in genetics · 2020Article
- Genetic variability and relationships in nine South African cattle breeds using microsatellite markers.Tropical animal health and production · 2020Article
- Genome-Wide SNP Discovery in Indigenous Cattle Breeds of South Africa.Frontiers in genetics · 2019Article
- Genetic Improvement in South African Livestock: Can Genomics Bridge the Gap Between the Developed and Developing Sectors?Frontiers in genetics · 2018Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Nguni cattle breed is a landrace breed adapted to different ecological regions of South Africa. A number of ecotypes are recognised based on phenotype within the breed, but it is not known if they are genetically distinct. In this study, molecular characterisation was performed on Makhathini (MAK), Pedi (PED), Shangaan (SHA) and Venda (VEN) Nguni cattle ecotypes. Two Nguni cattle populations, not kept as separate ecotypes, from the University of Fort Hare (UFH) and Agricultural Research Council Loskop South farm (LOS) were also included. Genotypic data was generated for 189 unrelated Nguni cattle selected based on pedigree records using 22 microsatellite markers. The expected heterozygosity values varied from 69 % (UFH) to 72 % (PED) with a mean number of alleles ranging from 6.0 to 6.9. The F ST estimate demonstrated that 4.8 % of the total genetic variation was due to the genetic differentiation between the populations and 92.2 % accounted for differences within the populations. The genetic distances and structure analysis revealed the closest relationship between MAK, PEDI and SHA ecotypes, followed by SHA and VEN. The UFH population clustered with the MAK ecotype, indicating that they are more genetically similar, while the LOS cattle grouped as a distinct cluster. Results suggest that the genetic differentiation between the PED and SHA ecotypes is low and can be regarded as one ecotype based on limited genetic differences. The results of this study can be applied as a point of reference for further genetic studies towards conservation of Nguni cattle ecotypes.
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