ReviewAnimal : an international journal of animal bioscience2018
Review: Genomics of bull fertility.
Review in Animal : an international journal of animal bioscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
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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.
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Who cites it
37 citing papers in PubMed, 94 citations in OpenAlex.
- Better Multi-Breed Genomic Predictions for Tropical Bull Fertility Using a Breed-Adjusted Genomic Relationship Matrix.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026Article
- Individual Effect of Bull Prevails over Sperm Characteristics in Predictive Models.Biomolecules · 2026Article
- Genetic and environmental factors affecting pregnancy loss in Nellore cattle: insights from a large-scale Brazilian field database.Journal of animal science · 2026Article
- Application of omics technologies to identify reproductive phenotypes in the context of assisted reproductive technologies for cattle.Animal reproduction · 2026Article
- Parental noncoding RNA expression dynamics across sperm, oocyte, and zygote.NAR genomics and bioinformatics · 2025Article
- Assessing Bovine Male Fertility in a Technological Age.Advances in anatomy, embryology, and cell biology · 2025Review
- Ecuadorian Holstein-Friesian cattle paternal lineages: Demographic structure, inbreeding evolution, and genetic diversity.PloS one · 2025Article
- Distribution of Recessive Genetic Defect Carriers in Holstein Friesian Cattle: A Polish Perspective.Animals : an open access journal from MDPI · 2024Article
- Biomarker-based human and animal sperm phenotyping: the good, the bad and the ugly†.Biology of reproduction · 2024Review
- Population dynamics of potentially harmful haplotypes: a pedigree analysis.BMC genomics · 2024Article
- Multi-omics data integration for the identification of biomarkers for bull fertility.PloS one · 2024Article
- Review
- Relationship between Na/K-ATPase in thawed sperm and fertility of Angus bulls.Animal reproduction · 2023Article
- Unravelling the genetics of non-random fertilization associated with gametic incompatibility.Scientific reports · 2022Article
- Genome-Wide Association Analysis Reveals Novel Loci Related with Visual Score Traits in Nellore Cattle Raised in Pasture-Based Systems.Animals : an open access journal from MDPI · 2022Article
- Machine Learning-Based Co-Expression Network Analysis Unravels Potential Fertility-Related Genes in Beef Cows.Animals : an open access journal from MDPI · 2022Article
- Weak genotype x environment interaction suggests that measuring scrotal circumference at 12 and 18 mo of age is helpful to select precocious Brahman cattle.Journal of animal science · 2022Article
- Sperm DNA methylation patterns at discrete CpGs and genes involved in embryonic development are related to bull fertility.BMC genomics · 2022Article
- Article
- Four novel candidate causal variants for deficient homozygous haplotypes in Holstein cattle.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Fertility is one of the most economically important traits in both beef and dairy cattle production; however, only female fertility is typically subjected to selection. Male and female fertility have only a small positive genetic correlation which is likely due to the existence of a relatively small number of genetic variants within each breed that cause embryonic and developmental losses. Genomic tools have been developed that allow the identification of lethal recessive loci based upon marker haplotypes. Selection against haplotypes harbouring lethal alleles in conjunction with selection to improve female fertility will result in an improvement in male fertility. Genomic selection has resulted in a two to fourfold increase in the rate of genetic improvement of most dairy traits in US Holstein cattle, including female fertility. Considering the rapidly increasing rate of adoption of high-throughput single nucleotide polymorphism genotyping in both the US dairy and beef industries, genomic selection should be the most effective of all currently available approaches to improve male fertility. However, male fertility phenotypes are not routinely recorded in natural service mating systems and when artificial insemination is used, semen doses may be titrated to lower post-thaw progressively motile sperm numbers for high-merit and high-demand bulls. Standardization of sperm dosages across bull studs for semen distributed from young bulls would allow the capture of sire conception rate phenotypes for young bulls that could be used to generate predictions of genetic merit for male fertility in both males and females. These data would allow genomic selection to be implemented for male fertility in addition to female fertility within the US dairy industry. While the rate of use of artificial insemination is much lower within the US beef industry, the adoption of sexed semen in the dairy industry has allowed dairy herds to select cows from which heifer replacements are produced and cows that are used to produce terminal crossbred bull calves sired by beef breed bulls. Capture of sire conception rate phenotypes in dairy herds utilizing sexed semen will contribute data enabling genomic selection for male fertility in beef cattle breeds. As the commercial sector of the beef industry increasingly adopts fixed-time artificial insemination, sire conception rate phenotypes can be captured to facilitate the development of estimates of genetic merit for male fertility within US beef breeds.
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Registered trials
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.