scholarly journals SENSITIVITY ANALYSIS AND FUTURE FARM SIZE PROJECTION OF BIO-FORTIFIED CASSAVA PRODUCTION IN OYO STATE, NIGERIA

2020 ◽  
Vol 5 (2) ◽  
pp. 61-66
Author(s):  
Kolapo Adetomiwa ◽  
Ojo Christianah Funmilayo ◽  
Lawal Adebayo Morenikeji ◽  
Abayomi Tajudeen Sarumi ◽  
Muhammed Opeyemi Abdulmumin
Keyword(s):  
Return On Investment ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Questionnaire Data ◽  
Cassava Production ◽  
Multistage Sampling ◽  
Structured Questionnaire ◽  
Cassava Varieties

The study examined the costs and returns to bio-fortified cassava production and forecast the future farm size of bio-fortified cassava production in Oyo State, Nigeria. A multistage sampling technique was used to select our respondents. Primary data were used for the study which were collected through a well-structured questionnaire. Data collected were analyzed using descriptive, Markov chain, and budgetary analysis. The result of the study showed that TMS 01/0593, TMS 01/0539 and TMS 01/0220 were the mostly grown varies of bio-fortified cassava varieties in Oyo State, Nigeria. The result of the budgetary analysis showed that the average net return (net farm income) from the production of bio-fortified cassava was ₦196710.95 with RORI of 224.95%. The result revealed that at 35% increase in cost of production, the rate of return on investment dropped to 140.70% in which the investment will not be viable. The bio-fortified cassava farmers have a great potential to boost production through increases in farm sizes of the bio-fortified cassava famers until the year 2026 when equilibrium would be attained at about 2.85ha. In order to adequately achieve these goals, more improved varieties of bio-fortified cassava should be provided. Consequently, infrastructures should be put in place to help boost farmers moral in their cause of production.

scholarly journals Risks and determinants of risk management strategies among rural cassava-based farmers in Imo State

2020 ◽  
Vol 17 (2) ◽  
pp. 100-115
Author(s):  
C.E. Ahaneku ◽  
S.U.O. Onyeagocha ◽  
C.C. Eze ◽  
N.M. Chidiebere-Mark ◽  
G.O. Ellah ◽  
...  
Keyword(s):  
Risk Management ◽  
Management Strategies ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Imo State ◽  
Resistant Species ◽  
Risk Management Strategies ◽  
Multistage Sampling ◽  
Logit Regression Model

Cassava-based farmers are faced with a lot of risks and uncertainties and this results to low agricultural output and hinders the rural farmers from  pursuing their farming activities as an enterprise. The study assessed the risks and determinants of risk management strategies among rural cassava-based farmers in Imo State. A multistage sampling technique was used in the selection of respondents. Data were collected with the use of structured questionnaire administered to 180 respondents. Multinomial logit regression model was used to determine the factors influencing the choice of risk management strategies among rural cassava-based farmers in the study area. Results of the study showed that the farmers were of middle-age, fairly educated and have average farm size of one hectare. Majority of the farmers identified loss of crop due to disease (76.11%) and loss due to erosion (73.89%) as sources of risk farmers were exposed to. Also greater number of the respondents adopted practicing of mixed  cropping and planting of disease resistant species as risk management strategies. The result of the study also confirmed that age, gender, educational level and farm income were the major determinants of the farmers’ choice of risk management strategies. It was recommended that  government should make extension services functional and provide policies that will help boost the socio-economic welfare of farmers as this will significantly propel an increase in the choice effective risk management strategies in the area. Keywords: Risk management, risk management strategies, cassava based farmers.

scholarly journals Gender Differentials in Technical Efficiency among Small-Scale Cassava Farmers in Abia State, Nigeria

2020 ◽  
pp. 98-109
Author(s):  
E. S. Yisa ◽  
M. I. Nwojo ◽  
A. A. A. Coker ◽  
A. Adewumi ◽  
F. D. Ibrahim
Keyword(s):  
Technical Efficiency ◽  
Maximum Likelihood Estimates ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Small Scale ◽  
Gender Differentials ◽  
Female Farmers ◽  
Cassava Production ◽  
Farm Inputs

This study examined gender differentials in technical efficiency among small scale cassava farmers in Abia State, Nigeria. The profitability of cassava production, technical efficiency as well as the factors influencing inefficiency among the farmers in the study area were determined. Well structured questionnaire and interview schedule were employed to obtain primary data from the 133 male and 147 female cassava farmers sampled from two agricultural zones in Abia State. Data were analyzed using descriptive statistics, farm budgeting technique and stochastic frontier production function. A total of 73.68% of males and 81.63% of females were married, with an average household size of 6 and 5 persons, mean farming experience of 18 years for males and 16 years for females, and cultivated less than 2ha of land. Cassava production was profitable with a gross margin of ₦140,978.28 per hectare for males and ₦131,070.27 per hectare for females. The maximum likelihood estimates showed male farmers were more technically efficient with mean efficiency score of 0.82 compared to 0.78 for female farmers. Factors affecting the technical efficiency of male farmers included farm size, educational level, extension contact, credit amount while that of the female farmers were age, farm size, cooperative membership, land ownership and off-farm income. High cost of acquiring credit facilities and farm inputs, poor road network, inadequate extension services, limited farmland were the major constraints faced by farmers in the study area. It was concluded that male farmers were more technically efficient and also had higher gross income per hectare than their female counterpart. Policies aimed at improving the female farmers’ access to land and other farm inputs should be established and implemented by the government in order to increase efficiency was recommended.

scholarly journals Analysis of Resource Use Efficiency of Sesame Production in Hong Local Government Area of Adamawa State, Nigeria

2021 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Bernard H ◽  
Tahir A. D. ◽  
Alkali H. M. ◽  
Ojo C. O.
Keyword(s):  
Resource Use ◽  
Sampling Technique ◽  
Farm Size ◽  
Resource Use Efficiency ◽  
Tertiary Institution ◽  
Access To Credit ◽  
Use Efficiency ◽  
Production Output ◽  
Multistage Sampling ◽  
Structured Questionnaire

The study was conducted to examine the resource use efficiency of sesame production in Hong L.G.A of Adamawa State, Nigeria. Multistage sampling technique was used to select fifty seven sesame farmers in the study area. Data were collected using a structured questionnaire. Data were analysed using descriptive statistics and multiple regression analysis. The results revealed that high percentage (57.9%) of the respondents were female, 91.2% were married and 54.4% were within the age bracket of 31-50 years. Among the farmers, 35.1% attended tertiary institution, most (56.1%) of them had a household size of 3-6 persons and 70% of them had no extension visit. The study also revealed that the majority (70.2%) of the sesame farmers had farm size of 1-2 hectares, 33.3% had a farming experience of 10-15 years, and many had no access to credit (91.%) and membership of cooperatives (86%). The results showed that effects of labour, fertilizer, farm size, chemical and seed were positive and statistically significant. R2 of 90.0% and F-ratio of 65.5 were recorded for the inputs. The study showed that the production inputs (especially labour and seed) contributed to sesame production output and production resources were under-utilized by the farmers.

scholarly journals Determinants of Agroforestry Practitioners Income in Semi-Arid Region of Nigeria

2020 ◽  
pp. 67-72
Author(s):  
B. D. Zira ◽  
M. A. Gupa
Keyword(s):  
Regression Analysis ◽  
Skill Acquisition ◽  
Arid Region ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Semi Arid Region ◽  
Multistage Sampling ◽  
Semi Arid

This study examined the determinants of farm income among Agroforestry Practitioners in Semi-arid region of Nigeria. Using a multistage sampling technique, 300 Practitioners were randomly selected from six purposive selected semi-arid region of Nigeria. The data were analyzed using descriptive statistics and multiple regression analysis. The study revealed an income of between N301,000 and N400,000 among the Agroforestry Practitioners in the study area. Result on the linear regression analysis revealed that the coefficients of Agroforestry farm output (p<0. 01), farm size (p<0. 01, household size (p<0. 05,) and education (p<0. 05,) were found to positively and statistically influence Agroforestry farm income in the study area. It is recommended that multifaceted interventions through infrastructural development that supports access to education and land, skill acquisition and empowerment program should be implemented in the study area.

Analysis of Credit Access and Utilization Among Poultry Farmers in Nigeria

2021 ◽  
Author(s):  
Ayodeji Afolayan ◽  
E. T. Omisope ◽  
Adedamola M. Ajayi ◽  
Oluwafemi Samuel Adeoti ◽  
Oluwatoyin F. Ogunjinmi
Keyword(s):  
Interest Rate ◽  
Regression Models ◽  
Sampling Technique ◽  
Primary Data ◽  
Farm Income ◽  
Significance Level ◽  
Credit Access ◽  
Multiple Regression Models ◽  
Poultry Farmers ◽  
Multistage Sampling

Abstract This study assessed credit access and utilization among poultry farmers and its determinant. Primary data were analyzed from 78 farmers using multistage sampling technique using descriptive statistics, logit and multiple regression models. Findings from the study showed that majority of the respondents were in their active age and 75.6 percent of the poultry farmers were males. Majority (83.3 percent) of the respondents were married and educated. Majority was also in their active age (37.2 percent). The factors determining farmers’ decision to use credit which were significant at 5 percent include; number of years spent in school, farm income, labour cost, cost of feeds and sources of capital while only interest rate was significant at 1 percent. Factors that influenced the credit utilization by the farmers in the study area at 5 percent significance level include; farm income, cost of feeds, and number of birds. It is recommended that subsidization of cost of feeds, usage of family labour, and provision of loan at no or low interest rate should be employed in the study area.

scholarly journals Assessment of disease management and biosecurity measures among poultry farmers in Adamawa State, Nigeria

2021 ◽  
Vol 19 (3) ◽  
pp. 85-92
Author(s):  
John Abakura Hyelda ◽  
◽  
Michael Amurtiya ◽  
Mark Polycarp ◽  
Alfred Balthiya ◽  
...  
Keyword(s):  
Disease Management ◽  
Sampling Technique ◽  
Weather Conditions ◽  
Primary Data ◽  
Extension Agents ◽  
Poultry Production ◽  
Poultry House ◽  
Poultry Farmers ◽  
Multistage Sampling ◽  
Structured Questionnaire

The study assessed disease management and biosecurity measures among poultry farmers in Adamawa State, Nigeria. Specifically, the study identified the prevalent poultry diseases and parasites in the study area, assessed disease management and biosecurity measures, and also identified the constraints limiting poultry production among the farmers. Multistage sampling technique was used to collect primary data from 113 poultry farmers using a structured questionnaire. Data collected were analysed using descriptive statistics and a four-point Liker-scale. Findings of the study revealed that Salmonellosis, Coccidiosis, and Newcastle Disease were the most common diseases in the area. Similarly, regular change of litter, consistent washing of drinkers/feeders, and also cleaning of the surroundings of the poultry house were the common biosecurity measures among in the area. Foremost among these constraints affecting the farmers were; extreme weather conditions, high cost of feed and other inputs, and inadequate capital and/or credit. Key among the recommendations was the need for the employment of more agricultural extension agents in the area.

scholarly journals Factors Influencing Economic Viability of Small and Marginal Farms in Rayalaseema Region of Andhra Pradesh, India

2021 ◽  
pp. 48-57
Author(s):  
M. Ramakrishna ◽  
I. Bhavani Devi ◽  
S. Rajeswari ◽  
P. V. Satyagopal ◽  
G. Mohan Naidu
Keyword(s):  
Andhra Pradesh ◽  
Sampling Technique ◽  
Farm Size ◽  
Farm Income ◽  
Net Income ◽  
Economic Surplus ◽  
Factors Influencing ◽  
Live Stock ◽  
Multistage Sampling ◽  
Selection Of

This study was conducted to estimate the factors influencing the viability of small and marginal farms in Rayalaseema region of Andhra Pradesh. Multistage sampling technique was employed for selection of samples at different levels (districts, mandals and villages) in the present study. A sample of 120 farmers was selected from two districts, six mandals and six villages. The farmers were categorized according to their land holding size into marginal (<1 ha) and small (1-2 ha) category. On the basis of economic surplus left, the sample farmers were grouped as viable and nonviable farmers. The farmers having positive economic surplus are viable farmers and the farmers with negative economic surplus are non-viable farmers. Out of 120 sample farmer’s only 37 farmers were viable and 83 remained non-viable. It is found that net income from live stock and dairy and net income from crops were the major significant discriminating factors that discriminate viable and non-viable farmers. Other significant factors were off farm income, farm size and family expenditure.

scholarly journals Farmers Contribution to Agriculture in Rural Development of Fufore Local Government Area of Adamawa State, Nigeria

2020 ◽  
pp. 156-167
Author(s):  
M. R. Umar ◽  
I. J. Suleiman
Keyword(s):  
Local Government ◽  
Rural Development ◽  
Multiple Regression ◽  
Sampling Technique ◽  
Education Level ◽  
Local Government Area ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Access To Credit

This study was carried out to access farmer’s contribution to Agriculture in Rural Development of Fufore LGA of Adamawa State, Nigeria. Seven wards within the LGA were selected (Ribadu, Gurin, Farang, Mayo-ine, Pariya, Karlahi and Yadim). Thirty (30) questionnaires were randomly distributed to the household in each ward selected through multi-state random sampling technique as primary data. A total of Two Hundred and Ten (210) farmers were selected for the study. Data were analyzed with the aid of descriptive statistics and multiple regression models. Results show that Age, Marital status, Farm size, Family size, Education level have percentage ranging from 10-28.6, 13.3-31, 4-69, 5.2-31 and 15.2-37.6% respectively while Primary occupation, Access to credit, Number of extension visit and farm income percentage values ranged from 3.8-43.9, 15.7-25.7, 5.7-53.4 and 8.1-35.7% respectively.  The result further shows that the majority of the respondents are still in their youthful stage and 31% of them were married. The study further reveals that 69% of the respondents cultivate on 1-5 hectares of land, the result of the multiple regression analysis indicates that farm size was negative and significant at 5% level; Education level has a positive coefficient and significant at 1% level while access to credit coefficient was positive and significant at 5% level. The findings of the regression equation determine the manner towards farmer’s contribution to agriculture in rural development and examine the constraints militating farmer’s contributions to agriculture in the study area. Cob-Douglas function with R­2 value of 0.813 was chosen as the lead equation. Low price of farm output poor extension visits, market distance, is some of the major problems affecting the contribution of agriculture to the development of the study area. It was therefore recommended that there is need to train and provide farming equipment’s, agricultural credit should also provide the needed environment to foster rural development facilities in Fufore Local Government Area of Adamawa State.

scholarly journals Determinants of farmers’ access to microcredit from cooperative societies in Ondo state, Nigeria

2022 ◽  
Vol 11 (2) ◽  
pp. 103-107
Author(s):  
A Kolapo ◽  
AS Ogunleye ◽  
AD Kehinde ◽  
AA Adebanke
Keyword(s):  
Sampling Technique ◽  
Descriptive Statistics ◽  
Farm Size ◽  
Primary Data ◽  
Logit Regression ◽  
Cooperative Society ◽  
Consumer Cooperative ◽  
Ondo State ◽  
Multistage Sampling ◽  
Logit Regression Model

The study examined the determinants of farmers’ access to microcredit from cooperative societies in Ondo state. A multistage sampling technique was used to obtain data from 100 respondents. Primary data was collected for the purpose of the study. We used descriptive statistics and logit regression model to analyses the data collected. Result showed that the farmers were mostly male farmers (64%) while majority of the farmers had a mean age of 44.10 ± 14.70. It was also revealed that consumer cooperative society, producer cooperative society, marketing cooperative society, cooperative farming society and credit and thrift cooperative society were the major forms of cooperative used by the farmers. The result also shows that age, marital status, farm size, farming experience, credit from another source and number of years in the cooperative significantly influenced farmers’ access to microcredit from cooperative society. Int. J. Agril. Res. Innov. Tech. 11(2): 103-107, Dec 2021

scholarly journals Determinants of Adoption of New Agricultural Technologies by Cooperative Farmers in Nigeria

2021 ◽  
pp. 66-75
Author(s):  
Onuoha, Onyekachi Chibueze ◽  
Umebali, Emmanuel
Keyword(s):  
Agricultural Development ◽  
Sampling Technique ◽  
Farm Size ◽  
Primary Data ◽  
Farm Income ◽  
Extension Agents ◽  
Agricultural Technologies ◽  
Institutional Factor ◽  
Factors Affecting ◽  
Frequency Of Contact

Globally, advanced technologies are invented or discovered for the improvement of farming activities. In Nigeria, such technologies are gradually being available from research institutes and imported technologies. The low outputs of farms suggest that these technologies seem not to be highly adopted in Nigeria and the factors that determine the adoption of these technologies are yet to be explored. The study examined the socio-economic and institutional determinants of the adoption of new agricultural technologies by cooperative farmers in Nigeria. A descriptive survey research design was adopted. Multistage random sampling technique was used to select three hundred and twenty farmers (160 individual farmers and 160 co-operative farmers), statistically derived using the Taro Yamane formula. The data used for this study were sourced from primary data. Descriptive and inferential statistics were deployed in the analysis of data. Findings revealed that sex, marital status, farm size and annual farm income socio-economic are the socioeconomic factors affecting the adoption of new agricultural technologies while the frequency of contact with extension agents is the key institutional factor affecting the adoption of agricultural technologies. Recommendations made include that extension services should be improved by the Agricultural Development Programme. There should be at least two extension agents to each community who should visit the farms regularly and expose the farmers to the latest agricultural technologies through Small Plots Adoption Trials (SPATS) and On-Farm Adaptive Research. The extension service workers in ADP should enjoin individual farmers to form effective groups (Co-operative Societies) for easy diffusion of the agricultural technological innovations.

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