Evidence map›Paper›PMID 40805007›Full record

ArticleAnimals : an open access journal from MDPI2025

A Novel Conservation Genomic Strategy: Selection for the Probability of Offspring Heterozygosity.

Attila Zsolnai, András Nagy, Gábor Szalai, Ino Curik, István Anton, Péter Hudák, László Varga

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Resource management as a conservation tool to impact genetic diversity through mating patterns in wild populations.Ecological applications : a publication of the Ecological Society of America · 2026
    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

7 authors.

Attila ZsolnaiDepartment of Animal Breeding, Institute of Animal Science, Hungarian University of Agriculture and Life Sciences, Kaposvár Campus, 7400 Kaposvár, Hungary.ORCID 0000-0002-8382-1503
András NagyLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON M5G 1X5, Canada.
Gábor SzalaiDepartment of Biomedical Sciences, Burrell College of Osteopathic Medicine, 3501 Arrowhead Drive, Las Cruces, NM 88001, USA.ORCID 0000-0002-9462-8602
Ino CurikDepartment of Animal Breeding, Institute of Animal Science, Hungarian University of Agriculture and Life Sciences, Kaposvár Campus, 7400 Kaposvár, Hungary.ORCID 0000-0001-7090-1654
István AntonDepartment of Animal Breeding, Institute of Animal Science, Hungarian University of Agriculture and Life Sciences, Kaposvár Campus, 7400 Kaposvár, Hungary.ORCID 0000-0001-8099-6992
Péter HudákInstitute for Farm Animal Gene Conservation, National Centre for Biodiversity and Gene Conservation, 2100 Gödöllő, Hungary.
László VargaInstitute of Genetics and Biotechnology, Hungarian University of Agriculture and Life Sciences, Szent István Campus, 2100 Gödöllő, Hungary.ORCID 0000-0001-9039-2578

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary objective of any conservation breeding program is to preserve the genetic diversity of populations. This objective is a persistent challenge, especially in small populations which are prone to loss of heterozygosity. In this study, we proposed a novel parent-selection strategy aimed at the long-term maintenance of high levels of genetic diversity. Our approach is based on estimating the Probability of Offspring Heterozygosity (POH)-the likelihood that a mating will produce heterozygous offspring-using SNP genotype data. This strategy was evaluated through computer simulations, where parental pairs with the highest POH values were preferentially selected to produce the next generation. Simulations explored the effects of varying the number of breeding pairs, and the number of unlinked SNP markers. Selection based on POH resulted in observed heterozygosity (H

Indexed as

conservationgenetic diversitygenetic managementinbreeding avoidanceSNP

Identifiers

PMID40805007
PMCPMC12345495

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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.