Information needs of paravets on artificial insemination in India

Abstract

The present study was conducted to assess the information needs of the paravets on Artificial Insemination (AI) in India. Paravets (160) were selected having equal representation from 4 different parts of India (Gujarat, Rajasthan, Telangana and Odisha). Questionnaire and telephonic survey method was used for data collection. The information needs on AI among paravets was assessed under four sub-groups, viz. information needs on heat detection, AI techniques, post-AI practices and miscellaneous information related to AI. Results revealed that the most needed information was symptoms of heat in buffaloes and pregnancy diagnosis both bearing 1st rank (MWS=7.22), followed by address of semen stations (MWS=6.09) with 2nd rank, rectal palpation (MWS=5.97) ranked 3rd, signs of heat in cattle (MWS=5.91) ranked 4th and use of crystoscope for checking fern pattern (MWS=5.68) with 5th rank. Earlier researchers have established that proper AI technique is essential for improving conception rate. Hence, along with provision of training courses on AI, there is a need to focus on creating efficient information systems platform incorporating knowledge related to AI which can be easily accessed by the paravets. Further, the paravets need to be trained on the use of digital tools for faster information delivery and ease of use. Efforts are also needed for continuous education of the paravets for enhancing the effectiveness of AI. Convergence of various information dissemination efforts of the government and non-government sector, and more number of multipronged information channels are required to fulfil the information needs of the paravets.