CURRENT STATUS AND FUTURE PROSPECTS OF ARTIFICIAL INSEMINATION IN GOATS IN NEPAL: A REVIEW

Priyanka Joshi () and Shovit Khanal
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Priyanka Joshi: Agriculture and Forestry University, Chitwan, Nepal
Shovit Khanal: Agriculture and Forestry University, Chitwan, Nepal

Big Data In Agriculture (BDA), 2021, vol. 3, issue 1, 31-34

Abstract: Nepal is endowed with several indigenous, exotic, and crossbred goat species and breeds that carry potency to contribute a far more to agricultural production than they are presently contributing. Low productivity and high demands of goats have been prevailing in Nepal for a long. Detailed knowledge about various biotechnological procedures like artificial insemination (AI) for breeding is vital in managing goat for high reproductive rates and increasing productivity. Problem of inbreeding in goat exists in farms of Nepal. Thus, Goat farmers can use AI for genetic improvement in their herds. This review aims to provide sufficient knowledge about AI in goats, its prevailing condition, and prospects in Nepal. It also aims to disseminate knowledge about reproduction in goats, oestrous synchronization, and many other factors related to AI. Findings revealed that AI is currently being practiced in Nepal to improve flock productivity and carries huge scope for the future too. However, the present status of AI was found unconvincing. The conception rate was just 35% with total 4,499 AI in goats in 2018/19, and the coverage was less than 1%. Studies also showed that the facilities for semen collection, processing, preservation, and storage are available in Nepal. But a huge amount of semen is still being imported because of insufficient technologies here. Limited researcher related to AI in goats in Nepal is also a hindrance to develop AI in goats in Nepal. It is better to conduct a detailed study on AI in goats in Nepal to help farmers, traders, and planners.

Keywords: Biotechnology; Conception; Productivity; Semen (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnbda:v:3:y:2021:i:1:p:31-34

DOI: 10.26480/bda.01.2021.31.34

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