Evidence map›Paper›PMID 41976039›Full record

ArticleAnimals : an open access journal from MDPI2026

Population Structure and Genetic Diversity Among Lipizzan Mare Families in Hungary Based on Microsatellite Genotyping.

Máté Kovács, Bettina Hegedűs, Sándor Mihók, Renáta Knop, Csaba Szabó, János Posta

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Máté KovácsDoctoral School of Animal Science, University of Debrecen, 4032 Debrecen, Hungary.
Bettina HegedűsDoctoral School of Animal Science, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-5805-9449
Sándor MihókDepartment of Animal Science, Institute of Animal Science, Biotechnology and Nature Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032 Debrecen, Hungary.
Renáta KnopDepartment of Animal Science, Institute of Animal Science, Biotechnology and Nature Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-4863-8287
Csaba SzabóDepartment of Animal Nutrition and Physiology, Institute of Animal Science, Biotechnology and Nature Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-2234-204X
János PostaDepartment of Animal Science, Institute of Animal Science, Biotechnology and Nature Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032 Debrecen, Hungary.ORCID 0000-0002-7208-1896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conservation of genetic diversity in historically structured horse breeds requires fi-ne-scale population genetic evaluation beyond conventional pedigree-based approaches. The present study assessed genetic diversity, population structure, and mare family differentiation in a Lipizzan horse population using 16 ISAG/FAO-recommended microsatellite markers. A total of 172 mares representing 29 mare families were genotyped. All loci were polymorphic, with a mean number of alleles per locus of 6.69 and a mean effective number of alleles of 3.56. The average polymorphism information content (PIC = 0.66) indicated high marker informativeness. Mean observed heterozygosity was slightly lower than expected heterozygosity, although the overall negative inbreeding coefficient suggested general heterozygote excess and low population-level inbreeding, whilst the genetic differentiation among mare families was moderate. The principal components and the STRUCTURE analysis indicated admixture among mare families. Seven private alleles were detected across six loci, highlighting the presence of rare lineage-specific variants. These findings emphasize the importance of mare family-based analyses for identifying hidden genetic structures that may not be captured by population-level averages. The integration of microsatellite-based diversity evaluation provides a robust framework for de-signing sustainable breeding and conservation strategies aimed at preserving both overall variability and rare lineage-specific genetic components.

Indexed as

breeding managementgene conservationgenetic differentiationLipizzanpopulation structure

Identifiers

PMID41976039
PMCPMC13072336

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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.