
Research Article
Evaluation of the Success of Artificial Insemination in Bali Cattle in Borong, East Nusa Tenggara
@INPROCEEDINGS{10.4108/eai.11-12-2025.2363087, author={Bernadius Mariano Djamin and Maria Tarsisia Luju and Yohana Maria Febrizki Bollyn}, title={Evaluation of the Success of Artificial Insemination in Bali Cattle in Borong, East Nusa Tenggara}, proceedings={Proceedings of the 5th International Conference on Education, Humanities, Health and Agriculture, ICEHHA 2025, 11-12 December 2025, Ruteng, East Nusa Tenggara, Indonesia}, publisher={EAI}, proceedings_a={ICEHHA}, year={2026}, month={5}, keywords={Artificial insemination Bali cattle Service Per Conception Conception Rate}, doi={10.4108/eai.11-12-2025.2363087} }- Bernadius Mariano Djamin
Maria Tarsisia Luju
Yohana Maria Febrizki Bollyn
Year: 2026
Evaluation of the Success of Artificial Insemination in Bali Cattle in Borong, East Nusa Tenggara
ICEHHA
EAI
DOI: 10.4108/eai.11-12-2025.2363087
Abstract
Artificial insemination (AI) is a reproductive technology implemented to increase the population and genetic quality of beef cattle in Indonesia, including Bali cattle. This study aims to evaluate the success rate of AI in Bali cattle in Borong District, East Manggarai Regency, and analyze the factors influencing it. This study used a quantitative descriptive method with a survey technique of 173 productive female cattle that had received AI treatment. Parameters used in this evaluation included Service Per Conception (S/C) and Conception Rate (CR). The results showed that the S/C value obtained was 3.84, which means that on average a cow requires one insemination before pregnancy occurs. Meanwhile, the CR value reached 26.01%, which indicates that the success rate of AI is not good enough. The success of this AI program is influenced by several factors, including the skill of the inseminator, the quality of frozen semen, the health condition of the cows, and the correct detection of estrus. These findings indicate that the implementation of AI in Borong District has been running well and effectively in increasing the productivity of Bali cattle. This research is expected to serve as a reference for local governments and breeders in further developing AI programs. Extension to breeders on estrus detection techniques and cow husbandry management needs to be improved to maintain and improve AI success in the future.


