ArticleAnimals : an open access journal from MDPI2025
Weighted Single-Step GWAS Reveals Genomic Regions Associated with Female Fertility in the Spanish Retinta Beef Cattle.
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 2 papers.
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Functional Characterization of Long Non-Coding RNAs Associated with Reproductive Fitness in Pura Raza Española Mares.Animals : an open access journal from MDPI · 2026Article
- Multivariate Single-Step GWAS Reveals Pleiotropic Genomic Regions and Candidate Genes Associated with Male Scrotal Circumference and Female Fertility Traits in Retinta Beef Cattle.Veterinary sciences · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improving reproductive efficiency in beef cattle remains a key objective for sustainable genetic progress, particularly in extensively managed autochthonous breeds such as the Spanish Retinta. In this study, we applied a weighted single-step genome-wide association approach (wssGWAS) to identify genomic regions associated with four fertility-related traits: age at first calving (AFC), interval between first and second calving (IC12), average calving interval (ACI), and reproductive efficiency (RE). A total of 215,125 calving records from 44,032 cows and the genomic information of 1030 animals (Axiom™ Bovine Genotyping v3 Array 65k) were analyzed. Heritability was estimated using a single-step genomic best linear unbiased prediction (ssGBLUP) that incorporated both pedigree and genomic data, and estimates ranged from 0.15 (0.008) for AFC to 0.27 (0.012) for ACI. The wssGWAS identified 96 1 Mb-windows explaining over 1% of additive genetic variance (40 of them are common for more than one trait and 46 windows are unique), notably on chromosomes 2 and 5. Candidate genes related to folliculogenesis, steroidogenesis, immune modulation, and cell cycle control were identified, including
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