School of Agricultural Management and Extension Technology (SAMET)

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School of Agricultural Management and Extension Technology(SAMET)

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    ANALYSIS OF TECHNICAL EFFICIENCY IN TOMATOES PRODUCTION IN ZARIA LOCAL GOVERNMENT AREA OF KADUNA STATE
    (2013) Ogaji, A., Odine, A. I., Adebayo, C. O., & Adewara, I. T.
    The study analyzed technical efficiency and its determinants in tomatoes production in Zaria, Kaduna state. The study was based on primary data collected from 120 tomato farmers by the use of multistage sampling techniques. The data was analyzed by descriptive statistics and the use of stochastic production frontier. The results indicate that most (70%) of the farmers were men between the ages of 31 and 50. It also showed that increase in farm size, fertilizer and seeds will lead to a considerable increase in tomato production. Furthermore, the mean technical efficiency was 0.6 and this was influenced by age, farm experience, contact with extension agents and access to credit. The study concludes that farmers can further increase their output and therefore recommends that credits should be made available to farmers and also extension agents should be encouraged to visit the farmers more often as this translates into increased efficiency.
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    ANALYSIS OF HOUSEHOLD LABOUR-USE IN YAM PRODUCTION: THE CASE OF BENUE STATE, NIGERIA
    (Journal of Agriculture and Agricultural Technology, 2014) Ojo, A.O., Eneji, S.O., Ojo, M.A. and Ogaji, A.
    The study examined the analysis of household labour-use in yam production in Benue State, Nigeria. Data collection involved the use of primary data using a structured interview schedule to elicit relevant information from the yam farmers. A total of one hundred and fourteen yam farmers were randomly selected for the study. The analytical techniques used to achieve the specified objectives involved descriptive statistics and ordinary least square regression analysis. The study revealed that 74.6% of the yam farmers in the study area were male with a mean age of 43 years which was an indication that they were in their economically active age. In addition, allocation of labour varied with farming activities with 94.7% of the sampled farmers engaged both family and hired labour for their farm operations in the study area. The analysis of the determinants of household labour-use showed an R2 value of 25% while the F-value was significant at p < 0.01 which implied that the model was of good fit. Years of experience (X3) and household size (X5) were statistically significant at p < 0.01 while age (X1) and, extension contact (X4) were statistically significant at p < 0.05. This indicated that those who had contact with extension agent better used the knowledge gained to enhance production efficiency of household labour in the area. The main household labour use constraints were inadequate farm inputs and lack of relevant information. Based on these results, it is therefore recommended that government and non-governmental organizations should sensitize the yam farmers on relevant information that would improve their productivity and efficient use of household labour in the area.
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    Impact of Climate Change on Soybean Production in Lapai Local Government Area of Niger State
    (Asian Journal of Agricultural Extension, Economics & Sociology, 2016) Ibrahim, F. D., Ibrahim, P. A., Odine, A. I., Jirgi, A. J., Usman, R. K., Ogaji, A., & Gbanguba, A. U.
    The study employed a Ricardian Model to measure the impact of climate change on soybean production in Lapai local government area of Niger state. The study utilized time series data on climatic variables for the period 1980-2012 and primary data on socioeconomic background, production cost, yield and prices of output from 80 randomly selected farmers. Results showed that rainfall and humidity statistically affected the net revenue of soybeans at 10% and 5% levels of significance. Rainfall had a negative coefficient of-68399.5 implying that as rainfall increases, output of soybeans decreases and subsequently the net revenue reduces. The interaction variable between rainfall and temperature and humidity and temperature were significant at 1% and 5% respectively. This suggests that the interaction effects of rainfall and temperature and humidity and temperature had significant effect on the net revenue of the soybean farmers in the study area.