Climate Smart Agricultural Technologies and Household Food Security among Smallholder Rice Producers in Federal Capital Territory, Nigeria. | ||
| SVU-International Journal of Agricultural Sciences | ||
| Articles in Press, Accepted Manuscript, Available Online from 11 October 2025 | ||
| Document Type: Original Article | ||
| DOI: 10.21608/svuijas.2025.407111.1491 | ||
| Authors | ||
| Olugbenga Omotayo ALABI* 1; Adebisi Olateju OMOLE1; Jeremiah Samuel ALUWONG2; Habib Ndagi ABUBAKAR3; Alhaji Abdullahi YABAGI3; Henry Onyebuchi CHIOGOR4; Blessing Elije OKPE4; Alkali Fazhi YUSUF3; Moses Samuel BASSEY3; Paul Akinwumi ATTEH5 | ||
| 1Department of Agricultural Economics, Faculty of Agriculture, University of Abuja, PMB 117 Gwagwalada-Abuja, Federal Capital Territory, NIGERIA. | ||
| 2Department of Agricultural-Extension and Management, School of Agricultural Technology, Nuhu Bamali Polytechnic, Zaria, Samaru Kataf Campus, Kaduna State, NIGERIA. | ||
| 3National Cereals Research Institute, Badeggi, Niger State, NIGERIA | ||
| 4NIRSAL Plc, Plot 1581 Tigris Crescent, Maitama, Abuja, NIGERIA | ||
| 5Department of Agricultural Economics and Extension, Faculty of Agriculture, Federal University of Lafia, PMB 146 Lafia, Nasarawa State, NIGERIA. | ||
| Abstract | ||
| This study focused on climate smart agricultural technologies and household food security among smallholder rice producers in Federal Capital Territory, Nigeria. A simple random sampling design was employed to select 280 rice growers. Primary data were utilized based on a well-structured questionnaire. Data were analyzed using descriptive statistics, climate smart agricultural practices used index, food security index, FGT (Foster, Greer and Thorbecke) Model, and Probit dichotomous regression model (PDRM). The results show that the average age of rice farmer was 42 years, with 9 years of education and 10 years of farming experience, utilizing a farm size of 1.15 hectares with a household of 7 persons. Farmers reported frequent extension contacts (4/month) and accessed an average of ₦150,000 in credit. Due to relatively high engagement with extension, approximately 65.00% used improved seeds, and but a low proportion adopted crop diversification (23.93%) or irrigation (24.64%). Furthermore, the result also revealed that the majority (68.21%) of households which approximately 191 out of 280 rice growers were food insecure. Probit regression analysis revealed that education, farm size, extension services, access to credit, use of improved seeds, and irrigation facilities had positive coefficients and were significant factors influencing household food security. These findings highlight the critical role of human capital, resource access, and the adoption of key climate smart agricultural practices (CSAPs) in enhancing food security among smallholder rice farmers, underscoring the need for targeted interventions to improve their productivity, enhance income and minimize shocks associated with weather variability. | ||
| Keywords | ||
| FGT (Foster; Greer and Thorbecke) Model; Rice Growers; Probit Dichotomous Regression Model (PDRM); Nigeria | ||
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