The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Genetic diversity, inbreeding and breeding practices in dogs: Results from pedigree analyses
Abstract
Pedigree analysis constitutes a classical approach for the study of the evolution of genetic diversity, genetic structure, history and breeding practices within a given breed. As a consequence of selection pressure, management in closed populations and historical bottlenecks, many dog breeds have experienced considerable inbreeding and show (on the basis of a pedigree approach) comparable diversity loss compared to other domestic species. This evolution is linked to breeding practices such as the overuse of popular sires or mating between related animals. The popular sire phenomenon is the most problematic breeding practice, since it has also led to the dissemination of a large number of inherited defects. The practice should be limited by taking measures such as restricting the number of litters (or offspring) per breeding animal.
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“Otherwise, the popular sire phenomenon will spread inherited defects [99].”
From Ethical Concerns about Fashionable Dog Breeding (2024) · cites this paper as [99]
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“In numerous dog breeds, the effective population size remains relatively small due to tightly controlled breeding within closed populations [99].”
From Ethical Concerns about Fashionable Dog Breeding (2024) · cites this paper as [99]
Citations
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Cited by
Body size, inbreeding, and lifespan in domestic dogs
Yordy, J., Kraus, C., Hayward, J. J., White, M. E., Shannon, L. M., Creevy, K. E., Promislow, D. E. L., & Boyko, A. R. (2020) · Conservation Genetics · doi:10.1007/s10592-019-01240-x · Cited by 92
SONNTAG, Q., & OVERALL, K. L. (2014) · Revue Scientifique et Technique de l'OIE · doi:10.20506/rst.33.1.2270 · Cited by 49
Berger, B., Berger, C., Hecht, W., Hellmann, A., Rohleder, U., Schleenbecker, U., & Parson, W. (2014) · Forensic Science International: Genetics · doi:10.1016/j.fsigen.2013.07.002 · Cited by 46
Farrow, T., Keown, A., & Farnworth, M. (2014) · New Zealand Veterinary Journal · doi:10.1080/00480169.2014.902340 · Cited by 37
Jansson, M., & Laikre, L. (2018) · PLOS ONE · doi:10.1371/journal.pone.0202849 · Cited by 29
Metadata
- Authors
- Leroy, G.
- Affiliations
- AgroParisTech (FR)
- Corresponding author
- Leroy, Grégoire
- ORCID
- Leroy, Grégoire
- Venue
- The Veterinary Journal
- Publisher
- Elsevier BV
- Published
- 2011-08
- Volume
- 189
- Issue
- 2
- Pages
- 177-182
- ISSN
- 1090-0233 (ISSN-L)
- OpenAlex
- W2039191594
- Cited by
- 143
- References
- 58
- Citations by year
- 2026: 12 · 2025: 9 · 2024: 13 · 2023: 8 · 2022: 10 · 2021: 12 · 2020: 14 · 2019: 9 · 2018: 7 · 2017: 4 · 2016: 9 · 2015: 7 · 2014: 8 · 2013: 12 · 2012: 4
- FWCI
- 0.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- The Veterinary Journal (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Human-Animal Interaction Studies
- Keywords
- dogs, genetic diversity, inbreeding, pedigree analysis, breeding practices, population bottleneck, selection pressure, dog breeds
- MeSH terms
- Animals, Breeding, Dog Diseases, Dogs, Inbreeding, Pedigree, Genetic Variation, Genetic Diseases, Inborn
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- The paper
- Leroy, G. (2011). Genetic diversity, inbreeding and breeding practices in dogs: Results from pedigree analyses. The Veterinary Journal. https://doi.org/10.1016/j.tvjl.2011.06.016
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
