Evidence map›Paper›PMID 40004460›Full record

ArticleGenes2025

Comparative Analysis of Genomic and Pedigree-Based Approaches for Genetic Evaluation of Morphological Traits in Pura Raza Española Horses.

Chiraz Ziadi, Sebastián Demyda-Peyrás, Mercedes Valera, Davinia Perdomo-González, Nora Laseca, Arancha Rodríguez-Sainz de Los Terreros, Ana Encina, Pedro Azor, Antonio Molina

Abstract readComparative Study
In one paragraph

Article in Genes, 2025. 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

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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
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

9 authors.

Chiraz ZiadiDepartamento de Genética, Universidad de Córdoba, 14014 Córdoba, Spain.ORCID 0000-0002-1866-7028
Sebastián Demyda-PeyrásDepartamento de Genética, Universidad de Córdoba, 14014 Córdoba, Spain.ORCID 0000-0003-3286-2441
Mercedes ValeraDepartamento de Agronomía, ETSIA, Universidad de Sevilla, 41013 Sevilla, Spain.ORCID 0000-0003-1742-550X
Davinia Perdomo-GonzálezDepartamento de Producción Animal, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0003-2618-105X
Nora LasecaDepartamento de Agronomía, ETSIA, Universidad de Sevilla, 41013 Sevilla, Spain.ORCID 0000-0003-3753-6725
Arancha Rodríguez-Sainz de Los TerrerosReal Asociación Nacional de Criadores de Caballos de Pura Raza Española (ANCCE), 41014 Sevilla, Spain.
Ana EncinaReal Asociación Nacional de Criadores de Caballos de Pura Raza Española (ANCCE), 41014 Sevilla, Spain.ORCID 0000-0002-9348-7393
Pedro AzorReal Asociación Nacional de Criadores de Caballos de Pura Raza Española (ANCCE), 41014 Sevilla, Spain.
Antonio MolinaDepartamento de Genética, Universidad de Córdoba, 14014 Córdoba, Spain.ORCID 0000-0002-9566-6600

Funding

MINECO, Spain RyC2022 FellowMinistry of Agriculture, Fisheries and Food, through the Spanish Agrarian Guarantee Fund, FEGA Equigenom GO
6 · The paper itself

Abstract

backgroundThe single-step best linear unbiased predictor (ssGBLUP) has emerged as a reference method for genomic selection in recent years due to its advantages over traditional approaches. Although its application in horses remains limited, ssGBLUP has demonstrated the potential to improve the reliability of estimated breeding values in livestock species. This study aimed to assess the impact of incorporating genomic data using single-step restricted maximum likelihood (ssGREML) on reliability (R

methodsThe analysis involved 14 morphological traits from 7152 animals, including 2916 genotyped individuals. Genetic parameters were estimated using a multivariate model.

resultsResults showed that heritability estimates were similar between the two approaches, ranging from 0.08 to 0.76. However, a significant increase in reliability (R

conclusionsHereby, we demonstrated that the application of genomic selection can contribute to improving the reliability of mating decisions in a large horse breeding program such as the PRE breed.

Indexed as

GenomicsAnimalsBreedingFemaleGenomeGenotypeHorsesMalePedigreePhenotypeQuantitative Trait, Heritableestimated breeding valuehorsesreliabilitysingle-step GREMLSNP-genotyping

Identifiers

PMID40004460
PMCPMC11855142

What OpenQuestion holds

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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 OpenQuestion graph.