Abstract
India is blessed with the highest population of dairy animals, but has very poor productivity per se, which may be due to various factors such as lack of improved breeding and feeding services, access to markets, capital, inputs and technology. Although professionals have pointed out artificial insemination (AI) as an emerging technology of socio-economic importance, the ground realities or practices about AI is entirely different. With this theoretical background, an attempt was made to study the adoption status of AI and also to identify factors affecting adoption of AI in India by both qualitative and quantitative methods from 360 dairy farmers in four states of North India. The adoption status of AI pointed out that majority of the respondents had adopted AI since more than 9 years, which was mostly partial in nature. Multinomial logit model depicted the Chi-square value of 113.97, indicating that the model was highly significant (p
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Rathod, P., Chander, M., & Chethan Sharma, G. (2017). Adoption status of artificial insemination in Indian dairy sector: Application of multinomial logit model. Journal of Applied Animal Research, 45(1), 442–446. https://doi.org/10.1080/09712119.2016.1208099
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