Drivers of Technology Intensity in Integrated Striga Management among Smallholder Maize Farmers in Northern Nigeria
S. Abdullahi *
Department of Agricultural Extension and Rural Development, Faculty of Agriculture, Abubakar Tafawa Balewa University, Bauchi, Nigeria.
M. Garba
Department of Agricultural Extension and Rural Development, Faculty of Agriculture, Abubakar Tafawa Balewa University, Bauchi, Nigeria.
F. S. Abdulwahab
Department of Agricultural Economics and Extension, Aliko Dangote University of Science and Technology, Wudil, Nigeria.
U. Abubakar
Department of Agricultural Extension and Rural Development, Faculty of Agriculture, Abubakar Tafawa Balewa University, Bauchi, Nigeria.
N. M. Dabo
Department of Agricultural Extension and Rural Development, Faculty of Agriculture, Abubakar Tafawa Balewa University, Bauchi, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
This study investigated the intensity of adoption of the Integrated Striga Management for Africa (ISMA) package among smallholder maize growers in Bauchi and Kano States, Nigeria. Using a multi-stage sampling approach, primary data were collected from 508 respondents via structured interview schedules and analysed using descriptive statistics alongside a Tobit regression framework. The average age of project participants and non-participants was 39 and 38 years, respectively. Male farmers constituted the predominant demographic group among both participants (88.7%) and non-participants (86.0%). Across the sample, the mean household size was 11 members, average landholding was 3 hectares, and mean farming experience was 18 years. The empirical Tobit estimates demonstrated that formal educational attainment, marital status, and agricultural experience had negative and statistically significant associations (P < 0.01, P < 0.10, and P < 0.05, respectively) with adoption intensity. Conversely, farm size, spatial distance to technology distribution outlets, and farm income showed positive and statistically significant associations (P < 0.05, P < 0.01, and P < 0.01, respectively). The principal barriers to widespread technology utilization were identified as insufficient technical information on application methods (ranked 1st) and difficulty in distinguishing Desmodium companion crops from indigenous weed species within push-pull setups (ranked 2nd). The study concludes that land size, spatial proximity, liquidity, and farmer experience are pivotal in determining how intensively ISMA practices are deployed. The recommendations include expanding extension outreach through Agricultural Development Programmes (ADPs) to conduct practical field demonstrations and improving localized access to certified inputs.
Keywords: Adoption Intensity, Integrated Striga Management (ISMA), Maize Production, Northern Nigeria, Tobit Regression