Predicting sire fertility in artificial insemination of dairy cows by the ability of spermatozoa to bind to oviduct cell aggregates (2025)
- Authors:
- USP affiliated authors: SARTORI FILHO, ROBERTO - ESALQ ; CELEGHINI, ENEIVA CARLA CARVALHO - FMVZ ; SILVA, MATEUS ANASTACIO DA - ESALQ ; SOUZA, PAULA RENATA CORTAT DE - ESALQ ; CONSENTINI, CARLOS EDUARDO CARDOSO - ESALQ ; PINTO, SÂMARA CRISTINE COSTA - FMVZ
- Unidades: ESALQ; FMVZ
- DOI: 10.3168/jds.2025-27057
- Subjects: CÉLULAS EPITELIAIS; ESPERMATOZOIDES ANIMAL; FERTILIDADE; GADO HOLANDÊS; INSEMINAÇÃO ARTIFICIAL ANIMAL; SÊMEN ANIMAL; TOUROS; VACAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Champaign, IL
- Date published: 2025
- Source:
- Título: Journal of Dairy Science
- ISSN: 0022-0302
- Volume/Número/Paginação/Ano: v. 108, p. 12722–12733, 2025
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
SILVA, Mateus Anastacio da et al. Predicting sire fertility in artificial insemination of dairy cows by the ability of spermatozoa to bind to oviduct cell aggregates. Journal of Dairy Science, v. 108, p. 12722–12733, 2025Tradução . . Disponível em: https://doi.org/10.3168/jds.2025-27057. Acesso em: 31 mar. 2026. -
APA
Silva, M. A. da, Souza, P. R. C. de, Consentini, C. E. C., Pinto, S. C. C., Celeghini, E. C. C., Carvalho, J. O., et al. (2025). Predicting sire fertility in artificial insemination of dairy cows by the ability of spermatozoa to bind to oviduct cell aggregates. Journal of Dairy Science, 108, 12722–12733. doi:10.3168/jds.2025-27057 -
NLM
Silva MA da, Souza PRC de, Consentini CEC, Pinto SCC, Celeghini ECC, Carvalho JO, Melo LF, Wiltbank M, Sartori Filho R. Predicting sire fertility in artificial insemination of dairy cows by the ability of spermatozoa to bind to oviduct cell aggregates [Internet]. Journal of Dairy Science. 2025 ; 108 12722–12733.[citado 2026 mar. 31 ] Available from: https://doi.org/10.3168/jds.2025-27057 -
Vancouver
Silva MA da, Souza PRC de, Consentini CEC, Pinto SCC, Celeghini ECC, Carvalho JO, Melo LF, Wiltbank M, Sartori Filho R. Predicting sire fertility in artificial insemination of dairy cows by the ability of spermatozoa to bind to oviduct cell aggregates [Internet]. Journal of Dairy Science. 2025 ; 108 12722–12733.[citado 2026 mar. 31 ] Available from: https://doi.org/10.3168/jds.2025-27057 - Does supplementation of vitamin C, reduced glutathione or their association in semen extender reduce oxidative stress in bovine frozen semen?
- Fertility of Bos taurus cows submitted to a 7‐day fixed‐time AI protocol receiving 0.5 or 1.0 mg of estradiol cypionate as ovulation inducer and with or without GnRH at the time of AI
- Relationships among total mixed ration nutritional components and reproductive performance in high-producing dairy herds
- Effect of an additional gonadotropin-releasing hormone 2 days after the initiation of a resynchronization program 25 days after artificial insemination on fertility of lactating dairy cows
- Research on timed AI in beef cattle: Past, present and future, a 27-year perspective
- Factors That Optimize Reproductive Efficiency in Dairy Herds with an Emphasis on Timed Artificial Insemination Programs
- Timed-artificial insemination protocols for Bos indicus beef heifers: Evaluation of protocol length and variations in prostaglandin F2α treatments
- What are the factors associated with pregnancy loss after timed-artificial insemination in Bos indicus cattle?
- Spermatozoa binding to bovine oviduct cells: the influence of the endocrine milieu on the effectiveness of the binding test in vitro
- Glutathione and IGF-1 in bovine seminal cryopreservation: oxidative stress response and pregnancy rate
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3272630-Predicting_sire_f... | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
