Broiler production supplements income of smallholder farm households. Profitability and productivity and analysis are important considerations in measuring efficiency or performance of a farm business; hence, improved output and income are not only a function of increase in the scale of production, but also how efficiently the resources are being utilized. This study therefore estimates the profitability and level of productivity among broiler farmers in Jos North, Plateau State, Nigeria. Multistage sampling technique was employed to select respondents for this study. Primary data collected were analysed using descriptive statistics, farm budgeting model and Total Factor Productivity (TFP) analysis. The study revealed that the net farm income of broiler production was ₦96,900/flock size; suggesting a relatively profitable venture with prospects for improved economic potentials. The estimated percentage profit margin was 45.6%; indicative of the percentage net margin accruable to the farmer from the estimated gross margin and benefit-cost ratio was 0.84. Furthermore, most (54.3%) of broiler farmers were sub-optimally productive as their TFP indices were below the optimal scale; attributable to sub-efficient input mix and cost of production inputs. In addition, constraints of broiler production in the study area included the following; high cost of feeds (92.9); high cost of chicks (85.7%); financial constraints (80%); high cost of poultry equipment (55.7%); high cost of medication (35.7); disease outbreak (28.6%) and inefficient market system (21.4%). Improving access to and subsidy of poultry feeds, chicks, production inputs and credit, extension, medical services and cooperative formation for market linkages are strongly recommended.

The level of yield among sweet potato farmers is on a decline; low output and yield differences was observed, indicating the existence of inefficiency in production systems and variations in input utilization. Efficiency in resource use must be sustained in order to improve productivity and maximize farm output. This study therefore analyzed the technical efficiency of sweet potato production. Multi-stage sampling techniques were adopted in selecting 94 respondents for this study. Data collected was analyzed using descriptive statistics and stochastic frontier production function. The socioeconomic variables of the respondents affected their farm efficiency and level of farm output. The estimated ratio of the L/R test was 0.579; indicating a goodness of fit of the frontier model and thus a rejection of the null hypothesis. The coefficients of sweet potato seeds (vines) (0.362) and labour (0.439) were positive and statistically significant at 5% level of probability, while the coefficients of farm size (-1.333), fertilizer (-0.452) and herbicides (-0.766) were negative but statistically significant at 5% level of probability. The inefficiency model revealed that the coefficient of farm capital (-0.172), education (-2.281), access to credit (-0.472), farming experience (-0.639), extension contact (-0.733) and membership of cooperatives (-0.396) were negative and statistically significant at 5% level of probability. The mean technical efficiency was 0.62 (62%) implying that the sweet potato farmers in the study area were not producing at optimal capacity. The constraints identified significantly affected sweet potato production in the study area. Subsidizing input costs; sensitizing farmers on appropriate farming practices, cooperative formation and efficiency in resource utilization; improving access to agricultural inputs, technology, farm capital, credit and extension services, market linkages, farm labour supply and the development of indigenous technologies in sweet potato production are strongly recommended.