Prevalence of malnutrition among under-five children is very high in many developing countries of the World. As a step towards reducing the prevalence, there is need to identify the important determinants of malnutrition in the specific context. This study examined the prevalence and determinants of malnutrition among under-five children of farming households in Kwara State, Nigeria. Descriptive and regression analyses were used to analyze anthropometrics data collected from 127 children selected randomly from 40 rural villages in the State. Descriptive results indicate that 23.6%, 22.0% and 14.2% of the sample children were stunted, underweight and wasted respectively. Regression analysis shows that the significant determinants of malnutrition were gender and age of child, education and body mass index of mother, calorie intake of the households, access to clean water and presence of toilet in the households. To reduce the present high rate of malnutrition in the area, the study suggests the targeting of women with education programmes and provision of clean water, including the enforcement of healthy environment in the rural areas.

There has been an intense debate in the last two decades on the nature of the relationship between income and calorie intake. This paper relooks at the relationship using parametric and nonparametric techniques. The paper employed a survey data set collected from farm households in rural Nigeria. Our analysis indicates that average per capita daily calorie intake in the study area is 2428 kilocalories, which is below the recommended intake level. We find that income has a significant positive relationship with calorie intake. Nonetheless, the calorie-income elasticity is estimated as 0.181, suggesting that calorie intake does not increase substantially with increases in income. The results also reveal a positive and significant relationship between farm size and calorie intake. A combination of policy strategies, including income growth, agricultural development and targeted food programmes could reduce the problems of inadequate calorie consumption among poor households.

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The study analyzed the risks involved in fruit and vegetable farming in Osun state, Nigeria. Specifically, the study examined the risk attitude of farmers, factors influencing risk attitude as well as farmer’s perception on major sources of production and market risks. The study was based on a survey of 150 farmers, comprising 75 predominantly fruit and vegetable farmers, respectively, and covering 12 communities within the six agro-ecological zones in the state. Data were collected using a well structured questionnaire. Descriptive statistics, discriminant analysis and Kruskal–Wallis ranking analysis were used in the study. The study revealed that the average age of the fruit and vegetable respondent was 58.5 and 40.1, respectively, with the male respondents outnumbering the females in each case. The average year of experience was 30.8 and 15.3 for fruit and vegetable respondent, respectively. An average area of (5.36 and 2.21) ha was cultivated by the fruit and vegetable farmers, while orange and okra are the most widely grown fruit and vegetable crops. Damage by pest and disease, traditional methods of farming and weather dependency were the most perceived sources of production risk by the fruit and vegetable farmers. Perishability of produce, low price of produce, poor product handling and packaging as well as exploitation by middlemen were the most perceived sources of market risk. The study also revealed that maintaining good relationship with traders, selling at low prices due to perishability, selling within the locality and non-farm businesses were the major risk management strategies employed by the farmers. Based on the study findings, it is recommended that introduction of a more comprehensive agricultural insurance scheme and introduction of improved technology can ameliorate the effect of risks on fruit and vegetable farmers. Also, public intervention can facilitate better risk management through improved information system. Bangladesh J. Agril. Res. 37(3): 473-491, September 2012 DOI: http://dx.doi.org/10.3329/bjar.v37i3.12125

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