Evidence map›Paper›PMID 42095021›Full record

ReviewFrontiers in genetics2026

Framework for assessing genetic variation in livestock using demographic, pedigree, and genomic measures.

Gábor Mészáros, Ino Curik, Dominique Ouedraogo, Jack Windig, Gregoire Leroy, Yuri Tani Utsunomiya, Pamela Burger, Licia Colli, Chang Xu, Paul Boettcher and 2 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Identification ofFrontiers in veterinary science · 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

12 authors.

Gábor MészárosUniversität für Bodenkultur Wien (BOKU), Vienna, Austria.
Ino CurikDepartment of Animal Science, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia.
Dominique OuedraogoCentre Universitaire de Ziniaré, Joseph KI-ZERBO University, Ouagadougou, Burkina Faso.
Jack WindigWageningen Livestock Research, Animal Breeding and Genomics, Wageningen University and Research, Wageningen, Netherlands.
Gregoire LeroyDivision of Animal Genetics, Food and Agriculture Organization of the United Nations (FAO), Rome, Italy.
Yuri Tani UtsunomiyaDepartment of Production and Animal Health, School of Veterinary Medicine, São Paulo State University, São Paulo, Brazil.
Pamela BurgerResearch Institute of Wildlife Ecology, University of Veterinary Medicine Vienna, Vienna, Austria.
Licia ColliDepartment of Animal Science, Food and Nutrition, Università Cattolica del Sacro Cuore, Piacenza, Italy.
Chang XuUniversität für Bodenkultur Wien (BOKU), Vienna, Austria.
Paul BoettcherDivision of Animal Genetics, Food and Agriculture Organization of the United Nations (FAO), Rome, Italy.
Christian LooftDepartment of Animal Breeding and Husbandry, University of Applied Science Neubrandenburg, Neubrandenburg, Germany.
Johann SoelknerUniversität für Bodenkultur Wien (BOKU), Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variation within livestock populations underpins global food security, resilience, and the long-term sustainability of breeding programs. Despite its fundamental role, harmonized approaches for assessing and monitoring genetic variation across data sources remain limited. This review provides an integrated framework for assessing genetic variation in livestock using demographic, pedigree, and genomic data, developed by FAO experts and international collaborators. Demographic indicators offer essential insight into population size, sex ratio, and reproductive structure, while pedigree data allow detailed evaluation of genetic relatedness, inbreeding, and effective population size (

Indexed as

animal genetic resources (AnGR)effective population sizegenetic variationgenomics of diversitymanagement of genetic resourcespopulation structure

Identifiers

PMID42095021
PMCPMC13143417

What Socratic holds

Textmetadata
LicenceCC BY
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.