Economic Viability of Cat Fish Production in Oyo State, Nigeria

Olagunju, F. I.; Adesiyan, I.O.; Ezekiel, Ayinde Alani

doi:10.1080/09709274.2007.11905961

Cited by 85 publications

(76 citation statements)

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“…Although, a relatively small proportion of integrated fish farmers (5.6 percent) had no formal education while 13.0 percent had primary education. The high level of education recorded in this study might be due to the metropolitan nature of the study area and its implication is that the respondents according to Olagunju et al (2007) may be very receptive to new innovations. This result shows that at least more than half of the respondents had the capacity to learn new innovation within a short period of time based on their level of education.…”

Section: Socio Economic Factors Of the Respondentsmentioning

confidence: 99%

Enterprise Mix in Integrated Fish Farming in Ogun State, Nigeria

Abiona¹,

Fakoya²,

Alegbeleye³

et al. 2011

JAS

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The study examined enterprise mix in integrated fish farming in Ogun Satate, Nigeria. Using survey research, a pre-tested structured interview guide was used to elicit information from 216 integrated fish farmers that was purposively selected from twenty two villages in four blocks of Ogun State Agricultural development using sampling frame Descriptive and inferential statistics were used to analyze the data. Results showed that 90.7% of IFF was male. Also, 96.8% of IFF was married. The mean ages of sampled farmers were 46 years (IFF) while the mean fish farming experience was 5 years (IFF).The mean fish production capacity of NIFF was 1,894 fish. Furthermore, 11.5% of IFF integrates fish farming with poultry, 7.2% with piggery, and 15.8% and 1.4% with crops and small ruminants respectively. The chi-square analyses showed that knowledge of fish farming had significant association with respondents sex (χ 2 = 9.44, df = 2, p < 0.05), marital status (χ 2 = 23.2, df = 4, p < 0.05), occupation (χ 2 = 25.5, df = 8, p < 0.05), Bivariate correlation analyses showed significant relationship between farmers knowledge and age (r = 0.20, p < 0.05), fish farming experience (r = 0.17, p < 0.05), level of cosmopoliteness (r = 0.16, p < 0.05), livestock population capacity (r = 0.21, p < 0.05), fish production capacity (r = 0.36, p < 0.05), area of land cultivated (r = 0.55, p < 0.05) and production constraints (r = -0.00, p < 0.05).

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Section: Socio Economic Factors Of the Respondentsmentioning

confidence: 99%

Enterprise Mix in Integrated Fish Farming in Ogun State, Nigeria

Abiona¹,

Fakoya²,

Alegbeleye³

et al. 2011

JAS

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“…It is also worthy of note that the fish farmers had different levels of education based on their indicated acquired levels. The high level of education recorded in this study might be due to the metropolitan nature of the study area particularly Akure South local government area which is the seat of Government of Ondo State and the implication of this is that the fish farmers according to Olagunju et al (2007) will be highly receptive to new and productive ideas. Out of all the farmers sampled, 60 percent of the fish farmers had a family size of 1-5 persons.…”

Section: Results and Discussion Socio-economic Characteristics Of Fismentioning

confidence: 99%

Poverty Reduction Potential of Fish Farming in Ondo State, Nigeria

2016

Sci. Agric

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The study examined fish farming business and its capability to reduce poverty and invariably foster wealth creation in Akure South and Owo Local Government Areas of Ondo State, Nigeria. A multi stage sampling technique was used to select 100 fish farmers for the study during the 2013 production season. Data obtained were analysed using net farm income model, descriptive statistics, Foster, Greer and Thorbecke poverty technique and expenditure approach of determining poverty line value. The result of the study revealed that fish farming was profitable in the study areas with a net farm income of N2423.37/m 2 being realised at the end of the production cycle. The study also revealed a poverty line value of N461.89/day among the fish farmers which is higher than the one dollar a day benchmark of the World Bank. Other results showed that poverty depth among fish farmers was 9% while poverty severity was 2%. It is recommended that fish farmers need to be trained on how to produce fish feed in order to reduce the cost of feeding fish, make maximum profit from their investment in fish farming which can significantly lead to poverty reduction. Also, lending institution should be encouraged by the government through measures like reduced bank rate, lower reserve ratio, selective credit policies etc to grant loan to practicing fish farmers at a reduced interest rate so as to enable them to expand their scale of fish production and thereby boost domestic production of fish.

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“…Age, education, and experience are the personal attributes of the respondents that could affect their responses to production and marketing dynamics. Negative contribution is often expected at very old age and low levels of literacy and experience, while positive contribution is expected at youthful age and high levels of literacy and experience (Olagunju, Adesiyan, & Ezekiel, 2007;Idiong, 2007). For a tree crop, it is apparent that those at the minimum age and experience groups might have inherited the citrus farms they operated.…”

Section: Socio-economic and Production Characteristics Of The Farmersmentioning

confidence: 99%

Influence of Socio-Economic Conditions of Farmers on the Control of Insect Pests of Citrus in Benue State, Nigeria

Anzaku¹,

Anda²,

Umar³

2016

JAS

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Despite the significant losses of citrus fruits due to insect pests damage, not all farmers control the menace of these pests. Control of these pests is inevitable for high quality, sustained and increased production of the product and income for the farmers. It is, therefore, imperative in the study to empirically establish the socio-economic variables of citrus farmers influencing the control of citrus insect pests. To achieve this, data collected from a random sample of 50 commercial citrus farmers from the major producing areas of Benue State in 2014, through the use of questionnaire, were analyzed by employing descriptive statistics and logistic regression model. With the exception of age with a coefficient of -.035, which influenced the control of insect pests negatively, the influence of other variables such as education (.362), experience (.159), gender (.992), income from citrus (.002) and income from other enterprises (.001) were positive, although only education and income earned from citrus were significant at 10% and 1% level of probability, respectively. Control of insect pests of citrus can be better achieved by potential and existing farmers if their education and earning from citrus production are continually and simultaneously increased.

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Economic Viability of Cat Fish Production in Oyo State, Nigeria

Cited by 85 publications

References 0 publications

Enterprise Mix in Integrated Fish Farming in Ogun State, Nigeria

Enterprise Mix in Integrated Fish Farming in Ogun State, Nigeria

Poverty Reduction Potential of Fish Farming in Ondo State, Nigeria

Influence of Socio-Economic Conditions of Farmers on the Control of Insect Pests of Citrus in Benue State, Nigeria

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