Application of Artificial Insemination (AI) Tool Based on Oestrus Automatic Detection to Improve Goat Pregnancy in Yogyakarta
This study aims to determine the level of pregnancy in goats and sheep in Indonesia, especially in the Yogyakarta area, by comparing the use of conventional AI devices with AI devices equipped with endoscopes. Many factors, including livestock, breeders, officers, spermatozoa, and environmental factors, strongly influence reproductive performance. The process of pregnancy in goats and sheep begins with the process of estrus, mating, pregnancy, birth, and postpartum estrus as the beginning of a continuous cycle. The problem found that the pregnancy rate in goats and sheep is relatively low. The low genetic quality of goats and sheep causes population growth in Yogyakarta to run slowly. This research was conducted by direct observation of the animal’s condition, then observation using an AI smart endoscope. AI Smart endoscopy was used to observe estrus time and followed up with AI in goats that had shown AI time. Observation of pregnancy was carried out two months after AI. The results showed that AI using smart endoscopy AI Gun on 20 goats resulted in 55% pregnancy. This is higher than conventional AI, which is 35%. The success of AI using the estrus synchronization method is 65%. The benefit of this research is the achievement of increasing pregnancy and improving the genetic quality of goats and sheep by using an AI device equipped with an endoscope. The target of veterinarians and field paramedics is more accustomed to using modified AI devices to make it easier to detect estrus. This program is expected to increase both the number of fetuses from an average of only 1-2 to 2-3 births and the success rate of AI increases.
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