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Subject: Veterinary and Animal Husbandry Extension Education × Author: CHETHAN KUMAR K N × End date: 2023 × Start date: 2020 × Type: Thesis × Thesis Type: M.V.Sc. ×
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    ThesisItemOpen Access
    ARTIFICIAL INSEMINATION SERVICE DELIVERY TO CATTLE AND BUFFALOES IN KARNATAKA-A MULTI STAKEHOLDER ANALYSIS
    (KARNATAKA VETERINARY, ANIMAL AND FISHERIES SCIENCES UNIVERSITY, BIDAR 585 401, 2022) CHETHAN KUMAR K N; K. SATYANARAYAN
    Despite having vast network for bovine breeding, the overall AI coverage and post AI conception rate in the field has remained poor. In this background, a study on the AI service delivery system of Karnataka state with an exploratory and ex-post facto research designs was undertaken. Sample comprised of 30 VOs, 30 AITs and 30 dairy farmers form each division, and three semen stations were studied. Artificial inseminations were highest (3136821) during 2011-12 and lowest (2446905) during 2013-14. Conception rate was highest during 2018-19 (41.21%) and lowest during 2014- 15 (33.57%). The mean conception rate for period between 2011 to 2019 was 37.63 ± 2.90. DAHVS had network of 4214 veterinary institutions with one institute per 2717.9 bovines. Shortage of technical staff was 35.67 per cent with one veterinarian per 7682 cattle units. During 2020-21, 13 districts achieved above 100 per cent AI target given with an average conception rate of 36.2, 791475 calves were born with Belagavi (72436) recording highest calves born and Yadgir (3216) lowest. Majority of the respondents (51.67%) had medium level of knowledge, regularly adopted AI related practices (62.50%), 43.34 per cent got their animals inseminated after 24 hours of heat detection and 45.83 per cent of respondents demanded two inseminations at a time. High milk yield and better performance offspring and doorstep AI facility were the main reason for adoption of AI. Shortage of staff at different levels in the semen station, nutritional deficiencies, lack of knowledge in heat detection and timing of AI, insufficient AITs in the field, inadequate transport facilities, distant location of AI centre, poor conception rate with AI, non-availability of AI service round the clock were few important constraints. Incorrect timing of AI is a major reason for lower conception rate which stems from the lack of awareness of dairy farmers regarding timing of AI. Awareness program on AI in a campaign mode is the important recommendation.