Browsing by Author "OJ Yusuf"

Now showing 1 - 4 of 4
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    A Binary Logit Estimation of Factors Influencing Awareness about Grasscutter Farming among Rural and Sub-urban Households in Kwara State, Nigeria
    (2017) SA Salau; OJ Yusuf; DF Apata; OM Adesina
    Hunting of grass cutter for food in Nigeria is unsustainable due to serious challenges posed to the ecosystems, adequate bush meat supply and human health. To enhance sustainable exploitation, grass cutter farming is desirable but large percentage of the population still lack awareness about grass cutter rearing. This study was aimed at investigating factors influencing awareness about grass cutter farming in Kwara state. A two–stage sampling technique was used to select 540 participants from rural and sub-urban households for the study. Descriptive statistics and binary logistic regression model were used to analyze the data. The results showed that the respondents had an average age of 46 years with an average family size of 7 persons. Majority (77%) of the respondents were males. The Nagelkerke R2 , explained 80.9% of the total variation in awareness of households. The coefficient of age, gender, household size, education, and access to credit with the t-values of -2.333, 1.959, 2.000, 2.235 and 13.832 respectively were all found to be critical in explaining awareness among the sampled households. Based on the findings of this study, it was recommended that any intervention strategy on grass cutter farming by government and international development agencies should have a capacity-building component center on educating households about the management practices and livelihood merits of farm grass cutters. Increase awareness through media should be promoted and policies like loan schemes that would substantially improve households’ access to use and acquisition of credits should be encouraged.
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    Climate change adaptation practices of smallholder arable crop farmers in Kwara State, Nigeria
    (2024) LK Olatinwo; OJ Yusuf; SE Komolafe
    Findings of the study indicated that majority of the respondents had formal education with average of 7 years of farming experience. The leading impacts of climate change were poor farm planning (x̄=4.79), loss of farm crops (x̄=4.82) and food insecurity (x̄=4.80). The main adaptation measures used by farmers include organic agriculture (x̄=3.59), afforestation (x̄=3.52) and crop rotation (x̄=3.53). Severe problems that hindered effective usage of adaptation practices of the farmers were inadequate extension visit (x̄=4.85), insufficient government interventions (x̄=4.71) and inadequate access to inputs needed for adaptation (x̄=4.69). Pearson correlation analysis indicated that increase years of formal education significantly leads to increase use of adaptation practices among farmers. In conclusion, this study found that crop rotation, afforestation and organic agriculture practices were the main adaptation practices used by the smallscale farmers. Consequently, more agricultural extension officers should be recruited to provide adequate dissemination of smart practices to adapt the effects change in climate on arable crops among farmers.
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    FARMERS’ PERCEIVED EFFECTIVENESS OF SERVICES RENDERED BY PUBLIC EXTENSION ORGANIZATIONS IN KWARA STATE NIGERIA
    (2024) LK Olatinwo; IF Ayanda; OJ Yusuf; OL Abdulrahaman; SE Komolafe; FK Lawal
    This study investigated the perceived effectiveness of public extension services among maize based farmers in Kwara State, Nigeria. The study employed descriptive research design. An interview schedule was used to collect data. Content validity was used to validate the instrument while reliability was ascertained through test-retest method having gotten a correlation coefficient of 72% reliable. Four stage sampling was employed to select respondents. Firstly, stage involved a purposive selection of 3 ADP zones namely: Zone B, C and D. Second stage involved the selection of eight blocks, and third stage involved random selection of 10 prominent maize farming communities. Total population of ADP contact maize-based farmers in the selected communities was 695 where 36.5% was selected at the fourth stage to give 254 respondents. Collected data were analysed with the use of frequency counts, percentages, mean score, standard deviation, linear regression and chi-square statistical tools. Findings showed that maize based farmers were mainly male (93.3%), married (87.8%), and educated (86.2%). Many (63.0%) of the respondents perceived the effectiveness of services provided by public extension organizations was moderate. Multiple linear regression analysis showed that the socio-economic factors (years of schooling and access to extension services) predicted 22.2 percent of farmers’ perception of the effectiveness of extension services provided by public extension organizations. The study concluded that farmers perceived extension services provided by public extension organizations were moderately effective. This study recommends a functional public-private extension approach for effective extension services to farmers in Kwara State
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    Use of climate-smart practices among small ruminant farmers in Kwara State
    (2025-01-16) O.L. Abdulrahman; LK Olatinwo; II Adewumi; OA Abimbola; OJ Yusuf
    This study describes the demographic characteristics of small ruminant farmers, identify farmers' information sources on climate-smart practices, identify the climate-smart practices used and the constraints to use of climate-smart practices. One hundred and eighty (180) small ruminant farmers were randomly selected for the study. Analytical tools such as descriptive; frequency, mean, percentages and inferential statistics; linear multiple regression were used to analyze the data. The result revealed that 56.1% of the small ruminant farmers were male, mean age of 40.1 years with mean of 6.2 years in small ruminant production. The most used climate-smart practices were stocking species that are tolerant to harsh weather conditions (mean=3.4), water conservation (mean=3.2) and use of weather forecast information (2.7±1.09). Difficulties in the provision of adequate feed for small ruminants during the dry season (mean = 4.3) was the highest-ranked constraints inhibiting the use of climate-smart practices. The result of the linear multiple regression analysis showed that age, level of education, rearing system were the determinants of the use of climate smart practices among the ruminant farmers. This study thus recommends the provision of adequate information on how to use climate smart practices effectively and training on how to produce feed such as hay or silage for feeding ruminant animals during dry season.