8 pages., This study ascertained factors influencing adoption of improved maize seed varieties in three local government areas of Kaduna State, North-central Nigeria. It collected cross-sectional data for a sample of 180 randomly selected farming households across three local government areas of the State in 2015/16. Both descriptive and inferential analyses were performed on the data. The descriptive statistics differentiated adopters from non-adopters, while the inferential analysis involved estimation of a logit model to determine factors driving adoption of improved maize seed varieties in the study areas. The results of the descriptive analysis show significant mean differences between adopters and non-adopters regarding several farm households’ characteristics. The model results reveal that adoption of improved maize seed varieties among the households was positively influenced by age, household size, level of education, farming experience, labour availability, contacts with extension agents, farm size, off-farm income and membership of associations. Thus, the study concluded that improving farmers’ education, expanding coverage and depth of extension services and strengthening farmer associations are useful policy actions for promoting adoption of improved maize varieties. It is also important to address availability, accessibility and affordability issues constraining adoption, enhance credit access and mitigate risk perceptions. The link between researchers and innovators and the farmers who are the off-takers of their outputs should be reinforced to increase maize productivity in order to satisfy national demand and promote food security.
18 pages, This paper presents the findings of challenges facing Zimbabwe’s extension services and how these have affected the adoption of technologies they render to small-scale farmers. This study uses a critical review of relevant literature on Zimbabwe’s primary public extension agency (AGRITEX). Additionally, 21 key informant interviews (KIIs) were conducted to corroborate data collected in secondary research on extension approaches currently in use, the key factors affecting technology adoption, and the technology adoption process of small-scale farmers. The study found AGRITEX’s major challenges to be poor funding, poor remuneration and incentives for extension personnel, lack of in-service training, lack of appropriate technology, as well as poor operational resources like transport to reach all farmers. Consequently, services offered to small-scale farmers were compromised, which led to poor adoption of recommended technologies. Furthermore, the study determined that key factors influencing technology adoption are related to the farmers’ circumstances, the operating environment, and the attributes of technology itself. As a lasting solution to poor technology adoption, an adaptive extension system that promotes building the capacity of extension workers and researchers, as well as embracing farmers and their indigenous knowledge, is proposed
