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Pregnancies following Protocols for Repetitive Synchronization of Ovulation in Primiparous Buffaloes in Different Seasons

SIMPLE SUMMARY: Artificial Insemination (AI) is mainly used after estrus synchronization in buffalo, and consecutive synchronization protocols are used to enhance reproductive efficiency. In this study, two different synchronization protocols have been used: Ovsynch vs. a P(4)-administration, and th...

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Detalles Bibliográficos
Autores principales: Presicce, Giorgio A., Vistocco, Domenico, Capuano, Massimo, Navas, Luigi, Salzano, Angela, Bifulco, Giovanna, Campanile, Giuseppe, Neglia, Gianluca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693142/
https://www.ncbi.nlm.nih.gov/pubmed/36356093
http://dx.doi.org/10.3390/vetsci9110616
Descripción
Sumario:SIMPLE SUMMARY: Artificial Insemination (AI) is mainly used after estrus synchronization in buffalo, and consecutive synchronization protocols are used to enhance reproductive efficiency. In this study, two different synchronization protocols have been used: Ovsynch vs. a P(4)-administration, and their efficiency in primiparous animals has been evaluated in different seasons for up to four cycles of re-synchronization protocols. Results show that the pregnancy rate upon the initial AI tends to be higher in P(4) treated buffaloes, and that AI efficiency after re-synchronization through P(4) is higher than the Ovsynch protocol. In conclusion, synchronization treatments must be selected according to the season of the year. The results derived from this study could be useful for buffalo breeders who want to improve the reproductive efficiency in primiparous animals in commercially managed buffalo herds. ABSTRACT: Primiparous buffaloes were tested in two periods of the year characterized, by either low or high reproductive efficiency. They were subjected to two protocols for synchronization of ovulation: (i) Ovsynch (OV) and (ii) progesterone based (P(4)) treatment. After calving, the animals underwent a series of four cycles of re-synchronization protocols. The season did not affect pregnancy rates when the results of the two treatments were pooled together with regard to the first synchronization protocol, followed by AI. Pregnancy rates were similar during the low breeding season (50.3% vs. 57.4% in OV and P(4), respectively), but different during the high breeding season (50.4% vs. 67.7% in OV and P(4), respectively; p = 0.000). Logistic regression confirmed a significant effect of treatment and season interaction on pregnancy (p = 0.003). Following re-synchronization, a treatment by season interaction was detected during the low breeding season (odds ratio = 2.233), in favor of P(4). Finally, a survival analysis showed a better response of animals subjected to P(4) treatment from the second AI onward. In conclusion, the pooled data of pregnancy rates from both treatments between seasons are not different following AIs. Better results, though, were obtained from the implementation of P(4) treatment, and are recorded in a season-fashioned mode when the comparison is made following first or cumulative AIs.