Vol. 9, Special Issue 9, Part X (2025)

Artificial insemination (AI) is a key reproductive technology that enhances genetic quality and livestock productivity. This study evaluates the effectiveness of AI programs in District Aligarh, Uttar Pradesh, focusing on conception rates, milk yield, and reproductive efficiency. Data were collected from 150 dairy farms (450 insemination events) through a cross-sectional survey. Statistical analysis using descriptive statistics, chi-square tests, and regression models revealed a conception rate of 68% and a 12% increase in milk yield on AI farms compared to non-AI farms. Reproductive efficiency also improved significantly (p<0.05), with shorter calving intervals and more regular estrus cycles. Despite these benefits, challenges such as insufficient farmer training and poor semen handling practices limited outcomes in some cases. The findings underscore AI as a low-cost, scalable intervention for improving dairy productivity and highlight the need for capacity building and better program implementation.