Jafer Mume; Aman Kemal
Volume 4, Issue 2 , Summer 2014, , Pages 105-114
Abstract
Rain-water-harvesting is one of the means by which agricultural production can be increased to meet the growing food demands in all regions. The study indentified the factor affecting rain-water-harvesting technology adoption for irrigation and farmers practice in water harvesting against drought in ...
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Rain-water-harvesting is one of the means by which agricultural production can be increased to meet the growing food demands in all regions. The study indentified the factor affecting rain-water-harvesting technology adoption for irrigation and farmers practice in water harvesting against drought in lowland woreda, Eastern Hararghe, Oromia Region. Both primary and secondary data were collected for the study. Primary data were collected from 190 sample households using questionnaire prepared during june15-july20/2014. The study implemented logistic regression model to identify factor affecting rain water harvesting adoption. Logistic regression estimation revealed that age of household head, education level, number of livestock in TLU, size of land holding, distance between home and farmers extension center and labor force the member are significantly affected the rain water harvesting adoption decision of household in study area. The results also show that on average rain water harvesting adopter households and non-adopter households had around 5043 and 2962 ETB respectively. This means, households that adopted rain-water-harvesting ponds were better off in total farm income compared to non-adopter households.
Onwuchekwa Raphael Iheke; Ukandu Ihuoma
Volume 5, Issue 2 , Spring 2015, , Pages 83-89
Abstract
This study examined the effect of urbanization on agricultural production in Abia State. Specifically, it categorized the land tenancy status of the farmers, analyzed the effect of urbanization on agricultural productivity and identified the constraints to agricultural productivity. Multistage random ...
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This study examined the effect of urbanization on agricultural production in Abia State. Specifically, it categorized the land tenancy status of the farmers, analyzed the effect of urbanization on agricultural productivity and identified the constraints to agricultural productivity. Multistage random sampling technique was used to select the respondents. Primary data collected using structured questionnaire and interview schedules were analyzed using frequency counts, means, and percentages and regression analysis. Results showed that majority (81.7%) of the respondents cultivated both on owned and rented farms. Only 10% and 8.3% of the respondents cultivating solely on owned and rented farm lands respectively. The regression result of the effect of urbanization and other factors on agricultural productivity showed that the significant variables influencing productivity were farm size, urbanization, fertilizer/ agrochemical, land tenure system, duration of land use and cost of farm land. The major constraints to increased productivity as noted by the respondents based on their degree of effect were lack of capital for agricultural investment, lack of improved farm inputs, high cost of land, land fragmentation, high population and high cost of planting materials. The study therefore recommend that specific areas should be earmarked for agricultural use only and protected from encroachment and other competing uses through appropriate legislations and policies.
Management in Extension Systems
Limon Deb; Md. Mian; Md. Asaduzzaman; Shahali Shahana Mitul; Md. Rahaman
Volume 6, Issue 1 , Spring 2016, , Pages 29-36
Abstract
The purpose of this research was socioeconomicanalysis of farms using primary data in two villages of Mymensingh Sadar. A total of 60 farms including 20 small, 20 medium and 20 large were randomly selected for the study. Socioeconomic analysis showed that indebtedness was higher in large farms than those ...
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The purpose of this research was socioeconomicanalysis of farms using primary data in two villages of Mymensingh Sadar. A total of 60 farms including 20 small, 20 medium and 20 large were randomly selected for the study. Socioeconomic analysis showed that indebtedness was higher in large farms than those of small and medium ones. Large farms also engaged more in farm activities than others. All of the asset position, income expenditure and saving were positively related with farm size but non-farm income was negatively related. Analysis of balance sheet depicted that all the farms became able to generate a positive net worth which was the highest in large farms followed by small and medium ones in terms of percentage term. Income statement analysis showed that each of the farms was profitable and earned positive net profit at the end of the accounting year. Net profit had a positive relation with farm size. Results of ratio analysis expressed that none of the farms was fully financially strong. But maximum of seven ratios were favorable to large farms followed by small and medium farms. So, considering overall situation, large farms were relatively strong followed by small and medium farms in the study area. This study recommends for similar studies in other parts of country to develop a benchmark for comparison which is almost absent in present situation of Bangladesh.
Gilbert Odilla Abura; Raphael Mwiti Gikunda; Godffrey NyongesaNato
Volume 3, Issue 4 , Autumn 2013, , Pages 199-207
Abstract
The purpose of the study was to identify and document technical knowledge and information gaps that can inform development of appropriate training programs for cane farmers. The study employed a survey research design; involving 105 small scale farmers in selected from eight Sub-counties of Kakamega ...
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The purpose of the study was to identify and document technical knowledge and information gaps that can inform development of appropriate training programs for cane farmers. The study employed a survey research design; involving 105 small scale farmers in selected from eight Sub-counties of Kakamega County. Data was analyzed using both descriptive and inferential statistics. Pearson’s product moment correlation coefficient was used to test for significance of relationships between access to information regarding cane production and the productivity of the crop. The results show that there was a strong positive correlation (r =0.722) between the firm size and the acreage under cane crop. The technical knowledge and information gaps varied on the basis of growth stages of the cane crop; 60% of the small scale farmers did not prepare land at the right time, 48% of the farmers did not know how to propagate cane, 34% did not know the cane planting spacing, 48% cultivated uncertified materials due to lack of capital and poor access to the suitable materials as the reasons. Majority of the farmers (92%) confirmed that they knew how to gap, although a few (8%) didn’t, 48% did not remove tillers from their crop, the number of times that the crop was weeded ranged from once (2%) to 8 times (2%), and 64% of the farmers applied organic manure while 87% applied inorganic fertilizers. The results show that majority of the smallholder farmers were unable to apply the recommended crop management practices due to lack of capital and lack knowledge and skills. For instance 38% of the respondents were unable to practice crop rotation due to lack of practical skills. Access to agricultural information regarding cane crop agronomy was rated as low by most of the respondents (58%).There was a positive correlation between access to knowledge and productivity of cane crop with a coefficient of 0.283. The productivity of sugarcane crop in Kakamega County was low and this was contributed by among other factors; lack of capital and inadequate knowledge and skills regarding the crop’s agronomy. The study recommends that strategies should be designed to disseminate practices that require technical knowledge and skills.
Issa F. O.; Obioma O. D.; Sallau R.
Volume 4, Issue 3 , Summer 2014, , Pages 163-171
Abstract
This study assessed of youth involvement in agricultural production in Sabon Gari Local Government Area. The data used for this study were collected using interview schedule administered to 112 respondents who were selected through multi-stage sampling procedure. Descriptive statistics such as frequency, ...
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This study assessed of youth involvement in agricultural production in Sabon Gari Local Government Area. The data used for this study were collected using interview schedule administered to 112 respondents who were selected through multi-stage sampling procedure. Descriptive statistics such as frequency, percentages and means were used to analyze the data. The result revealed that majority (95.5%) of the respondents were males; between 26–30 years of age (33.9%), had formal education (46.4%), married (66.0%); had household size of 1–5 (54.4%); had farm size of 1–2 ha for crops (57.2%), and had a hard size of 1-6 cattle (85.7%). Also, the study also revealed that 69.6% of the respondents were involved in crop production with about (1-5 tonnes) output of major grains. Furthermore, constraints limiting youth involvement in agricultural production were identified as inadequate capital (M=3.8); inadequate modern implements (M=3.7); difficulty in accessing loan (M=3.7); and inadequate extension services (M=3.6). The study recorded effective involvement of youth in agricultural production (79.4%). The study recommends that the youth should form themselves into functional cooperatives so that they can mobilize funds for their farming activities. Furthermore, more extension workers should be employed to enhance extension services delivery especially in fisheries in the study area.
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