Browsing by Author "LK Olatinwo"

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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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    Roles of Cooperative towards Reducing Livelihood Constraints amongst Rice Farmers in Niger State, Nigeria
    (2019) LK Olatinwo; AM Kwatachi; Yusuf, OJ
    This study compared the constraints faced by co-operators and non-cooperators farmers in their rice production activities in Niger state of Nigeria. Three-stage sampling procedure was employed to select 80 cooperators and 80 non-co-operators rice farmers. A validated questionnaire was used to collect data for the study. Frequency count, percentage and Chi-Square were statistical tools used for data analysis. Findings showed that the average age of cooperators and non-cooperators farmers were mean=43.4years and 47.2 years respectively. The average crop size cultivated by co-operators was 3.5hectares while non-cooperators cultivated 1.92hectares. Cooperators (100%) and non-cooperators (98.8%) farmers have access to information on rice production from extension agents. The leading challenge faced by cooperators were high cost of inputs like fertilizers (mean=4.56), nonavailability of institutional loan(mean=4.15), and encroachment by grazing cattle (mean=4.12) while noncooperators farmers were mostly constrained by high cost of inputs like fertilizers (mean=4.56), inadequate processing facilities (mean=4.52) and encroachment by grazing cattle (mean=4.48). Results further showed that constraints faced by cooperator and non-cooperators were statistically different (t=8.44; p=0.000) indicating that non-cooperator rice farmers were more constrained (mean=4.02) than their cooperator counterparts (mean=3.45). Chi-square test showed that access to loan and financial support (X2= - 17.640; p=0.000) was found to have inverse associated with constrained faced by co-operators and farm size (X2 =162.468; p=0.001) of non-cooperators has positive association with number of constraints that faced them. The study concluded that constraints faced by cooperators and non-cooperators were statistically different as non-cooperator rice farmers were found to be more constrained than their cooperator counterparts in Niger state. Hence, farmers are encouraged to be involved in cooperative societies because of the associated benefits to their enterprise. Extension services to rice farmers in the study area should focus how to reduce high cost of inputs like fertilizers, non-availability of institutional loan, encroachment by grazing cattle and inadequate processing facilities
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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.