The study assessed the factors affecting poultry (broiler) production in Imo State, Nigeria. Multistage sampling technique was used in selecting the respondents. A total of eighty four (84) poultry producers were randomly selected with the aid of well-structured questionnaire. Data were analyzed using descriptive statistics and multiple regression models. The result shows that majority (59.5%) of the producers were male, mean age was 45 years, mean household size was 6 persons, 67.86% of the producers attended tertiary education, mean years of farming experience was 9.3 years. The multiple regression analysis showed that farm experience, drug costs, farm size and disease occurrence were statistically significant at 10% level of probability implying that these are the key factors affecting poultry production. The major constraints militating against poultry production were high feed cost, lack of fund, outbreak of disease and high transportation cost. The study recommended that the government should provide credit facilities to poultry producers to abate lack of fund and provision of appropriate vaccines in the study area.

The study assessed the determinants of Poverty Status of Cassava based farmers in Imo State, specifically; it examined the socio-economic characteristics of cassava farmers and assessed determinants of poverty status among cassava-based farmers in Imo state. Multistage and purposive sampling techniques were used in selecting sixty (60) cassava-based farmers in the three agricultural zones in the area. Data used for the study were obtained using structured questionnaire. The data obtained were analyzed using descriptive statistics, Foster Greer Thorbecke (FGT) and ordered probit model. The result showed that the mean age was 50 years, 67% of the respondents were women, 47% of the respondents attended secondary education, they have 25 years mean farming experience, the mean household size was 6 persons, 88% of the farmers are married, and they have mean farm size of 1.03 hectare. The result of Foster Greer Thorbecke (FGT) analysis showed that the estimate of the poverty profile of cassava-based farmers in the study area was N62, 476.67k, the poverty incidence was 0.25, and the poverty depth and severity were 0.0659 and 0.0362 respectively. This implied that 6.59% of the total expenditure is required to close the poverty gap while in extreme cases additional 3.62% was required to cross the poverty line. The ordered probit analysis showed that education, household size, farm income and extension contact were statistically significant at 1% and 5% probability levels, respectively. Findings revealed that education, household size, farm income and extension contact were the significant determinants of farmers poverty status.

The preference for cash-less transaction by Nigerians cannot be exaggerated, but despite its patronage, there exist limited access and utilization of the cash-less technologies among farmers in South-East Nigeria. The study analysed the determinants of rural farmers' preference for cash-less transactions in Imo state, South-East Nigeria. Multi-stage sampling technique was employed in selection of 100 farmers for the study. The determinant of rural farmers' preference for cash-less transactions in Imo State, was achieved using logit model. The result of the analysis showed that age (5%), gender (10%) education levels of the farmers (1%), user friendliness of technologies (5%), transaction charge (5%) and security of transactions (5%) were found to be the major determinants of farmers preference for cash-less transactions based on their levels of significance. Centred on the findings, the study recommended the strengthening of the use of cash-less transaction by farmers by providing a favourable financial environment through better orientation programs, so as to enable a smooth transition from a cash-based economy to cash-less economy.

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This study aims at analyzing climate change perception of poultry production in Imo State, Nigeria. Data used for the study were obtained using a structured questionnaire from eighty-four (84) respondents who were randomly selected from twelve villages in the study area. Data were analyzed using descriptive statistics, multiple regression models and Likert scale. Findings revealed that the mean age of the respondents was 45 years, mean household size was 6 persons, 60% were male, mean years of experience was 9.1years, majority of them attended tertiary education. The multiple regression analysis showed that ambient temperature, humidity, rainfall distribution, mortality and feed unavailability were statistically significant at 10% level of probability and were the key determinants of the effect of climate change. The coefficient of multiple determination R2 was 0.725544 which implies that 72.55% variation in poultry output was accounted for by the regressors variables while the remaining 27.5% was due to random disturbance. From the distribution of poultry farmers according to the perception of climate change, the result showed that 89% and 74% of the poultry farmers were aware that climate change has an effect on egg and meat production, and also feed grain availability respectively. About 90% of them were aware that high sunshine harms egg production, also, 74% and 71% of them were aware that high temperature and low rainfall leads to low egg quality. The study, therefore, recommended that relevant and up-to-date information on climate change should be made available to poultry farmers.