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Article

Enhanced Reliability of the Evaluation of Fertility Traits in Pura Raza Española Horses Using Single-Step Genomic Best Linear Unbiased Prediction

by
Chiraz Ziadi
1,
Mercedes Valera
2,
Nora Laseca
2,3,
Davinia Perdomo-González
4,
Sebastián Demyda-Peyrás
1,
Arancha Rodríguez-Sainz de los Terreros
3 and
Antonio Molina
1,*
1
Departamento de Genética, Universidad de Córdoba, 14071 Córdoba, Spain
2
Departamento de Agronomía, Universidad de Sevilla, 41013 Sevilla, Spain
3
Real Asociación Nacional de Criadores de Caballos de Pura Raza Española (ANCCE), 41014 Sevilla, Spain
4
Departamento de Producción Animal, Universidad Complutense de Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Genes 2025, 16(5), 562; https://doi.org/10.3390/genes16050562
Submission received: 14 April 2025 / Revised: 4 May 2025 / Accepted: 8 May 2025 / Published: 9 May 2025
(This article belongs to the Section Animal Genetics and Genomics)

Abstract

Background/Objectives: By simultaneously integrating both genotyped and non-genotyped animals into genetic evaluation, the single-step genomic BLUP method enhanced the accuracy of genetic assessments. This study aimed to compare the increase in prediction reliability (R2) between restricted maximum likelihood (REML) and single-step genomic REML (ssGREML) in the Pura Raza Española (PRE) horse breed. Methods: The dataset comprised reproductive records for seven fertility traits from 47,502 females, with a total of 57,316 animals represented in the pedigree. A total of 4009 animals were genotyped using the EQUIGENE 90K SNP array, and 71,322 SNPs were retained for analysis after quality control. Genetic parameters were estimated using a multivariate model with the BLUPF90+ v2.60 software. Results: Heritability estimates were similar between REML and ssGREML, ranging from 0.07 for IF12 to 0.349 for ALF. An increase in R2 was observed with ssGREML compared to REML across all traits, with overall gains ranging from 2.20% to 3.71%. Among genotyped animals, R2 values ranged from 17.81% to 24.04%, while significantly lower values (0.80% to 2.34%) were observed in non-genotyped animals. Notably, individuals with low initial R2 values under the REML approach exhibited the most significant gains using ssGREML. This improvement was particularly pronounced among stallions with fewer than 40 controlled foals. Conclusions: Our results demonstrated that incorporating genomic data improves the reliability of genetic evaluations for mare fertility in PRE horses.
Keywords: equine; fertility; reliability; single-step GREML; SNP genotyping equine; fertility; reliability; single-step GREML; SNP genotyping

Share and Cite

MDPI and ACS Style

Ziadi, C.; Valera, M.; Laseca, N.; Perdomo-González, D.; Demyda-Peyrás, S.; Terreros, A.R.-S.d.l.; Molina, A. Enhanced Reliability of the Evaluation of Fertility Traits in Pura Raza Española Horses Using Single-Step Genomic Best Linear Unbiased Prediction. Genes 2025, 16, 562. https://doi.org/10.3390/genes16050562

AMA Style

Ziadi C, Valera M, Laseca N, Perdomo-González D, Demyda-Peyrás S, Terreros AR-Sdl, Molina A. Enhanced Reliability of the Evaluation of Fertility Traits in Pura Raza Española Horses Using Single-Step Genomic Best Linear Unbiased Prediction. Genes. 2025; 16(5):562. https://doi.org/10.3390/genes16050562

Chicago/Turabian Style

Ziadi, Chiraz, Mercedes Valera, Nora Laseca, Davinia Perdomo-González, Sebastián Demyda-Peyrás, Arancha Rodríguez-Sainz de los Terreros, and Antonio Molina. 2025. "Enhanced Reliability of the Evaluation of Fertility Traits in Pura Raza Española Horses Using Single-Step Genomic Best Linear Unbiased Prediction" Genes 16, no. 5: 562. https://doi.org/10.3390/genes16050562

APA Style

Ziadi, C., Valera, M., Laseca, N., Perdomo-González, D., Demyda-Peyrás, S., Terreros, A. R.-S. d. l., & Molina, A. (2025). Enhanced Reliability of the Evaluation of Fertility Traits in Pura Raza Española Horses Using Single-Step Genomic Best Linear Unbiased Prediction. Genes, 16(5), 562. https://doi.org/10.3390/genes16050562

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