The Eacenic Group did pregnancy tests at the horse farm.
Eacenic ECI-X8 Horse Ultrasound Machine : Horse Farm Pregnancy & Health Check
On April 16, 2026, Sichuan Eacenic Science & Technology Group Co., Ltd. was invited to a horse farm in Jintang County, Chengdu, where we did early pregnancy testing and reproductive health checks on horses with our ECI-X8 Horse Ultrasound Machine.

I. Estrus Patterns in Horses (Foundations of Scientific Breeding)
Horses are animals with seasonal estrus, with their estrus period mainly falling between March and August. The average estrus cycle lasts 21 days, and each estrus phase lasts for about 7 days. Several factors influence estrus in horses, including genetics, light exposure, temperature, humidity, and feeding management. Typical signs of estrus include:
1.Frequent lift tail and urinate
2.Restlessness and irritability
3.Always attempt to approach other horses
4.Frequent neigh

II. On-Site Examination Results with the ECI-X8 Horse Ultrasound Machine
1.Early Pregnancy & Follicle Monitoring
The ECI-X8 Horse Ultrasound Machine produced clear images of the horses’ follicles, with one dominant follicle clearly visible. The remaining follicles can be collected for in vitro culture over 1–2 days, laying a solid foundation for precise breeding and embryo-related operations.
2.Uterine Disease & Health Check
Horse Ultrasound Machine images showed small dark areas in the uterus, indicating potential inflammation or physiological fluid buildup. With early intervention and timely conditioning, the risk of reproductive diseases can be effectively reduced.

III. The ECI-X8 Horse Ultrasound Machine Advantages
The ECI-X8 Horse Ultrasound Machine is a multifunctional Ultrasound Machine .it not only can accurately detect pregnancy , monitors follicle development and check illness but also measure backfat ,eye muscle issues . For horse farms, this means:
1.Earlier breeding and quicker diagnosis
2.Early detection and prompt treatment
3.A significant boost in breeding success rates and overall horse health


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