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Instituto Tecnologico de Costa Rica; Ministerio de Economia y Competitividad; Ministerio de Ciencia Tecnologia y Telecomunicaciones

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April 23, 2019
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Dog sperm swimming parameters analysed by computer-assisted semen analysis of motility reveal major breed differences

Publicated to:Reproduction In Domestic Animals. 54 (5): 795-803 - 2019-05-01 54(5), DOI: 10.1111/rda.13420

Authors: Valverde A, Arnau S, García-Molina A, Bompart D, Campos M, Roldán ERS, Soler C

Affiliations

, University of Valencia, Paterna, Spain - Author
Clínica Veterinaria Sangüeso, València, Spain - Author
Department of Biodiversity and Evolutionary Biology, Museo Nacional de Ciencias Naturales (CSIC), Madrid, Spain - Author
Department of Cellular Biology, Functional Biology and Physical Anthropology, University of Valencia, Burjassot, Spain - Author
Department of Medicine and Animal Surgery, University Cardenal-Herrera-CEU, Valencia, Spain - Author
Global Veterinaria (Reprovalcan), València, Spain - Author
L - Author
R+D Department, Proiser R+D, S - Author
School of Agronomy, Costa Rica Institute of Technology, Alajuela, Costa Rica - Author
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Abstract

Dogs have undergone an intensive artificial selection process ever since the beginning of their relationship with humans. As a consequence, a wide variety of well-defined breeds exist today. Due to the enormous variation in dog phenotypes and the unlikely chance of gene exchange between them, the question arises as to whether they should still be regarded as a single species or, perhaps, they be considered as different taxa that possess different reproductive traits. The aim of this study was therefore to characterize some male reproductive traits, focusing on kinematic characteristics of dog spermatozoa from several breeds. Thirty-seven dogs from the following breeds were used: Staffordshire Bull Terrier, Labrador Retriever, Spanish Mastiff, Valencian Rat Hunting Dog, British Bulldog and Chihuahua. Semen samples were obtained via manual stimulation and diluted to a final sperm concentration of 50 million/ml, and they were subsequently analysed by the computer assisted semen analysis (CASA-Mot) ISAS® v1 system. Eight kinematic parameters were evaluated automatically. All parameters showed significant different values among breeds and among individuals within each breed. The fastest sperm cells were those of Staffordshire Bull Terriers and the slowest were recorded in Chihuahuas. The intra-male coefficient of variation (CV) was higher than the inter-male CV for all breeds with the Staffordshire Bull Terrier showing the lowest values. When taking into consideration the cells by animal and breed, discriminant analyses showed a high capability to predict the breed. Cluster analyses showed a hierarchical classification very close to that obtained after phylogenetic studies with genome markers. In conclusion, future workers on dog spermatozoa should bear in mind major differences between breeds and realize that results cannot be extrapolated from one to another. Because sperm characteristics are associated with breed diversity, dogs may represent a good model to examine changes in reproductive parameters associated with selection processes.© 2019 Blackwell Verlag GmbH.

Keywords

Artificial inseminationCasa-motCompetitionCryopreservationDog breedsEvolutionFertilityMammalian spermMorphologyOriginPhylogenySperm kinematicsSpermatozoaVelocity

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Reproduction In Domestic Animals due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2019, it was in position 27/29, thus managing to position itself as a Q2 (Segundo Cuartil), in the category Reproductive Biology. Notably, the journal is positioned en el Cuartil Q2 para la agencia Scopus (SJR) en la categoría Animal Science and Zoology.

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.23, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Sep 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-09-07, the following number of citations:

  • WoS: 6
  • Scopus: 8

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-09-07:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 34.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 33 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 0.25.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Costa Rica.