Abstract
This paper examines determinants of faba bean varieties adoption in Enda-Mehoni district using a cross-sectional data collected from 223 sample households. An interview schedule was employed to collect the data and presented using frequency, percentage and mean. We employed t-test and χ2-test statistics to see the significant difference between adopter and non-adopter and a binary logit model to know the influence of explanatory variables on faba bean varieties adoption. The findings reveal that the decision to adopt improved faba bean varieties is positively influenced by annual farm income and training obtained but negatively influenced by residents of the household heads. The study concludes that adoption decision was found to be a combination of economic, physical and institutional variables of the farmers. Hence, the understanding of the significant factors that lead farmers to adopt improved faba bean is imperative in policy design and implementation for further improved technology adoption in the area. In addition, providing appropriate training, improving the annual farm income and targeting domains of faba bean producing areas will contribute to improved faba bean varieties adoption in the district. Key words: Adoption, binary logit, faba bean.  
Highlights
Faba bean (Vicia faba L.) is one of the best crops among the grain legume (Singh et al, 2013)
The result of the model indicated that the probability of faba bean varieties adoption increased by 64.40% as the income of the household head increased by 1 Ethiopian Birr
The model indicated that adoption of improved faba bean varieties was increased by 1.34% as compared to households that did not participate in training
Summary
Faba bean (Vicia faba L.) is one of the best crops among the grain legume (Singh et al, 2013). Faba bean is one of the major pulse crops grown in the highlands (1800 – 3000 m asl) of Ethiopia (Temesgen and Aemiro, 2012; Tafere et al, 2012). Ethiopia is the second largest producers of faba bean in the world, next to China (Biruk, 2009). The national productivity of faba bean in the country is still very low. According to the report of Central Statistics Agency (CSA), the national average yield of faba bean under smallholder farmers‟ is 20.53 quintals per hectare (CSA, 2017). In Tigray region, faba bean covers an area of 9228.25 ha and its production accounts 151,091.02 quintal. Based on the CSA data, the productivity of the faba bean in Tigray region is 16.37
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