Browsing by Author "Olayinka Jelili YUSUF"

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    GENDER ANALYSIS OF FARMING HOUSEHOLDS’ KNOWLEDGE, ATTITUDE AND PRACTICES ABOUT COVID-19 PREVENTIVE MEASURES: COMPARATIVE EVIDENCE FROM NIGERIA AND BOTSWANA
    (2024-12-23) Dixon Olutade TORIMIRO; Nelson M TSELAESELE; Kolawole Adelekan ADELOYE; Olayinka Jelili YUSUF; Sani IBRAHIM
    In the face of deadly pandemic, many sub-Saharan African farming households appear to be nonchalant about COVID- 19 preventive measures. Gender analysis vis-à-vis knowledge, attitudes and practices (KAP) of COVID-19 preventive measures was carried out among the Nigerian and Botswana farming households using a pre-tested interview schedule to source information from 360 respondents. Mean age of the Nigerian household heads was 29.42 years and that of Botswana was 33.97 years. Nigerian mean household size was 7.32 and their Botswana counterparts was 4. 06. Respondents from the two countries had unfavourabe attitudes with Grand Weighted Mean Score (GWMS) < 2 towards COVID-19 preventive measures. Also, there is generally high knowledge of COVID-19 preventive measures (GWMS >1.5) with proportionate level of practices across countries and gender. There exists no significant difference between gender and KAP in Nigeria and Botswana. Attitudinal change and continuous enlightenment are imperatives among farming households, focusing on both genders, for improved compliance with the COVID-19 preventive measures.
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    Spatial soil variability and precision management strategies for optimizing maize productivity in Kwara State, Nigeria
    (2024-09-30) Adesina Abudlkabir WAHAB; Olayinka Jelili YUSUF; Taofeekat Temitope NOFIU; Adebayo Abayomi OLOWOAKE; Ibrahim Usman YAMAN
    Agriculture is critical to the economies of most states in Nigeria, Kwara included, with maize being an important food crop. However, geographic variation in soil qualities and inconsistencies in maize yields across the states are becoming increasingly concerning. The spatial variability of major soil physical and biological properties in Asa and Moro Local Government Areas (LGAs) was investigated utilizing a cross-sectional design, current Geographic Information Systems (GIS), and geostatistical approaches. Soil samples were collected at 70 geo-referenced locations and analyzed for texture, bulk density, porosity, moisture content, microbial biomass, and organic carbon. Data were mapped using ArcGIS 10.7 to assess spatial trends and identify management zones. The results revealed significant differences between the two LGAs. Asa LGA had higher moisture content (46.74%), porosity (49%), organic carbon (1.6%), and phosphorus (24.5 mg/kg) but lower pH (5.4 in water; 4.5 in CaCl2) and higher erosion risks. Moro LGA, by contrast, showed higher pH (6.4 in water; 5.3 in CaCl2), bulk density (1.29 gcm-3), and hydraulic conductivity (23.5 mmhr-1). Tailored management strategies, such as lime application in Asa and organic amendments in Moro, are crucial. These findings highlight the need for precision agriculture and site-specific management strategies in addressing soil variability and maximizing resource usage and maize yields in both LGAs.