A Strategic Analysis of Artificial Insemination (AI) Adoption in Goat Farming in Kamrup, Assam

Abstract

Given the potential of artificial insemination (AI) to enhance goat productivity, this study conducted a strategic assessment of AI adoption among goat farmers in Kamrup district, Assam, covering both rural and urban subdivisions. A total of 120 goat farmers (60 each from Kamrup Rural and Kamrup Metro) were selected using stratified random sampling to ensure diverse representation. Data were collected through a structured, pre-tested interview schedule, with goat farmer perceptions captured under a SWOT framework. Analysis was performed using Mean Percent Score (MPS), Z-score, and percentile ranking to prioritize the top five factors under each SWOT category. Key strength identified included favourable agro-climatic conditions, presence of indigenous breeds, traditional knowledge, herd health benefits, and available institutional support. Major barriers to adoption were limited awareness of AI, cultural resistance, shortage of trained AI technicians, distant AI service centres, and low conception rates. Opportunities emerged in the form of increasing demand for goat meat and milk, prospects for genetic improvement, rising youth interest in livestock-based livelihoods, entrepreneurial potential, and the relevance of climate-resilient breeding programs. Notable threats included poor AI accessibility in remote areas, heightened disease risk, climate-related stress, and complications such as dystocia. Based on the SWOT outcomes, a TOWS matrix was formulated to develop actionable strategies such as mobile AI delivery units, farmer-led awareness campaigns, capacity building, and integration of veterinary and extension services. The study offers practical insights to guide sustainable AI adoption in goat farming across Kamrup, Assam.