ArticleBMC genetics2018
Whole-genome scan reveals significant non-additive effects for sire conception rate in Holstein cattle.
Article in BMC genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
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Who cites it
16 citing papers in PubMed, 40 citations in OpenAlex.
- Genomic dissection of hoof and leg conformation in Swiss dairy cattle populations reveals polygenic architecture and a recessive HYAL1 nonsense variant affecting longevity in Holstein cattle.Genetics, selection, evolution : GSE · 2026Article
- A major QTL region associated with powdery mildew resistance in leaves and fruits of the reconstructed garden strawberry.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genome-wide scan for signatures of selection in Hanwoo and Angus cattle using whole-genome sequence data.PloS one · 2025Article
- Genetic diversity and signatures of selection in Icelandic horses and Exmoor ponies.BMC genomics · 2024Article
- Molecular quantitative trait loci in reproductive tissues impact male fertility in cattle.Nature communications · 2024Article
- Adenylate kinase 9 is essential for sperm function and male fertility in mammals.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Within- and between-Breed Selection Signatures in the Original and Improved Valachian Sheep.Animals : an open access journal from MDPI · 2022Article
- Targeted sequencing reveals candidate causal variants for dairy bull subfertility.Animal genetics · 2021Article
- Host genetics exerts lifelong effects upon hindgut microbiota and its association with bovine growth and immunity.The ISME journal · 2021Article
- Autosomal recessive loci contribute significantly to quantitative variation of male fertility in a dairy cattle population.BMC genomics · 2021Article
- Marker-assisted selection vis-à-vis bull fertility: coming full circle-a review.Molecular biology reports · 2020Review
- Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes.Genetics, selection, evolution : GSE · 2020Article
- Association of α/β-Hydrolase D16B with Bovine Conception Rate and Sperm Plasma Membrane Lipid Composition.International journal of molecular sciences · 2020Article
- Selection for bull fertility: a review.Translational animal science · 2020Review
- Predicting male fertility in dairy cattle using markers with large effect and functional annotation data.BMC genomics · 2019Article
- Genetic dissection of bull fertility in US Jersey dairy cattle.Animal genetics · 2018Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundService sire has a considerable impact on reproductive success in dairy cattle. Most gene mapping studies for bull fertility have focused on additive effects, while non-additive effects have been largely ignored. The main goal of this study was to assess the relevance of non-additive effects on Sire Conception Rate (SCR) in Holstein dairy cattle. The analysis included 7.5 k Holstein bulls with both SCR records and 57.8 k single nucleotide polymorphism (SNP) markers spanning the entire genome.
resultsThe importance of non-additive effects was evaluated using an efficient two-step mixed model-based approach. Four genomic regions located on chromosomes BTA8, BTA9, BTA13 and BTA17 showed marked dominance and/or recessive effects. Most of these regions harbor genes, such as ADAM28, DNAJA1, TBC1D20, SPO11, PIWIL3 and TMEM119, that are directly implicated in testis development, male germ line maintenance, and sperm maturation.
conclusionsThis study provides further evidence for the relevance of non-additive effects in fitness-related traits, such as male fertility. In addition, these findings may point out new strategies for improving service sire fertility in dairy cattle via marker-assisted selection.
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