Socio-economic characteristics of the respondents in the study area
The data in Table 1, showed that majority (74%) of the cassava farmers in the study area were females, while 26% were males. The implication of this is that production level could be affected, especially, in a situation where major labours in the farms are manual. This result agrees with the findings of
Effiong and Effiong (2015);
Effiong et al., (2015); Effiong et al., (2015); Effiong et al., (2016); Effiong (2012a) that majority of the small-scale farmers are female farmers.
Table 1, also showed that majority (38%) of the respondents were between the age of 41-50 years, while (21% each) of respondents were age of >51 years and 20-30 years respectively followed by 20% who were 31-40 years of age. This implies that the cassava producers in the study area were mostly youths and this could have positive impacts on the productivity of cassava in the area as they are within the age bracket of labour force. These findings are in agreement with the findings of
Effiong (2012b) who opined that productive labour force is within age 46-50 years.
More so, the result revealed that (32%) had their college certificates, while 27%, 24% and 11% had university degrees, senior secondary certificates and first school leaving certificates respectively, with only 6% who did not attain formal education. This implies that about 94% of the respondents had formal educational background. The implication of this is that, the rate at which innovations will be adopted will be high which in turn affect the production of cassava in the area. Furthermore, the result revealed that majority (34%) were married, while 33%, 19% and 14% were divorced, single and widow(er) respectively. This implied that some of the respondents were married and responsible enough to take critical decisions related to adoption of innovations from the extension agents in the course of cassava production activities in the study area. This study is also in tandem with the work of
Effiong and Aboh (2018);
Effiong et al., (2023) who opined that education, age and sex are the major determinants of adoption of rubber production technologies and oil spillage activities in Akwa Ibom State, Nigeria.
The occupational distribution of the respondents revealed that (38%) of them were into full time farming, 30% were both traders and farmers, while 16% and another 16% were fisher folks and those who were both civil servants and farmers respectively. This means that about 84% of the respondents were engaged in farming either wholly or partially, this implies that the respondents in the study area had experience about farming since that is their major occupation. This may as well affect the production of cassava negatively or positively in the area.
The data on distribution of household size showed that 39%of the respondents had between 6-10 persons, while 27% had 11-15 persons, 21% had 1-5 persons and 13% had 16 and above persons; with an average household size of 9 persons. This implied that, the study area was characterized by large family sizes and this may have positive effects on the production of cassava due to availability of family labour during the production process of the staple food. The result also showed that most of the respondents 49% had farm sizes ranging from 3.1-4 hectares. In the same vein, a good number of the farmers 42% had monthly income greater than 40,000.00, while 11% of them had income ranging from 31,000.00 to 40,000.00 respectively. This study is in tandem with the findings of
Effiong et al., (2015) and
Effiong (2013) who opined that the larger the family size, the higher the labour force in a small-scale farm enterprise. Data in Table 1 also indicated that majority of the farmers 49% had farm size ranging from 3.1 to 4 hectares. Also the data showed that most farmers 25% had income of 10,000 to 20,000 per month. This result is in agreement with the work of
Effiong et al., (2018) who stated that farmers who had contacts with agricultural workers tend to have larger farm sizes compared with those without extension contacts. More so,
Effiong et al. (2023) noted that farmers who had contacts with agricultural extension workers had increase harvest which translated into improved income in their agricultural enterprise.
Perceived influence of extension on cassava production
Table 2, showed the mean response of the perceived influence of extension on cassava production in the study area. Farmers agreed that cassava production practices were taught by extension (mean
=1.05), extension taught farmers cassava processing techniques (mean
=1.86), extension diffused improved cassava production techniques to the farmers (mean
=1.24) and that extension took cassava production problems to research institutes (mean
=2.51). These results are true in view of the statement credited to
Effiong, (2013) and
Effiong, (2023) who stated that improved technological development and innovations in crop and animal production are products of extension services in Nigeria. However, a good majority of the farmers expressed negative attitude towards extension as an influencer of cassava production activities in the study area. The result agreed with
Effiong (2013) who assertion that agricultural extension activities has not changed as much as desired due to poor funding and lack of interest in agricultural activities. The consequence is that in as much as humanity sees agricultural activities as inferior, unfulfilling, very hard and poor man’s business, it would be difficult to invest and develop interest in farming vis-a-vis cassava production.
The data showed that some of the respondents also disagreed with the following as contribution by the extension to improving the production of cassava in the area, they were; extension helped farmers on how to reduce soil compartments, extension train farmers on pest/disease control, extension help farmers in marketing, extension taught farmers cassava processing and production practices. This implies that, the contributions of extension to productivity of cassava in the study area is limited. This could be as a result of inadequate funding of extension programs and lack of well/trained extension agents in the study area. This result disagrees with
Effiong and Aboh (2019),
Ijioma et al. (2014) who stated that extension services advance the cause of crop production in Nigeria. In the same vein, Extension services play a very vital role in agricultural production, such roles include but not limited to the education of farmers, home management techniques, fertilizer application methods and soil management techniques among very many others (
Aboh and Effiong, 2019;
Effiong et al., 2021).
Perceived constraints of agricultural extension
The data in Table 3 revealed that the respondents in the study area had inadequate farm inputs, absence of credit facilities, inadequate funding, inadequate trained extension agents, poor conditions of extension, insufficient motivation of extension agents, inadequate logistics and poor transport network, with means of;
=3.61,
=3.52,
=3.36,
=3.22,
=3.19,
=2.80,
=2.68 and
=2.62 respectively, as major constraints to agricultural extension in enhancing the productivity of cassava in the study area. Nevertheless, language barrier and unfavorable attitude of farmers were also observed as constraints to agricultural extension from reaching targeted aims of enhancing the productivity of cassava in the study area, with mean
= 2.43 and
= 2.42 respectively. The implication of this is that; these constraints affected the efficiency and effectiveness of extensions and may impact on the improvement of cassava production in the study area. This study is in tandem with the findings of
Aboh and Effiong, (2019);
Effiong, (2012a) and
Effiong (2013), who opined that inadequate funding is a major constraint in agricultural production in Uruan Local Government Area of Akwa Ibom State, Nigeria.