Chris M. Mwungu

Survey data of intra-household decision making and smallholder agricultural production in Northern Uganda and Southern Tanzania

This article provides a description of intra-household survey data that were collected in Uganda and Tanzania in 2014 and 2015, respectively. The surveys were implemented using a structured questionnaire administered among 585 households in Uganda and 608 in Tanzania. Information on decision making processes in agricultural production was collected from the principal adult male and female decision-makers in each household. The survey consisted of two parts. Firstly, the decision-makers, both male and female of each household were jointly interviewed. Secondly, individual interviews were carried out, questioning the decision-makers separately. The datasets include both household and individual level data containing numeric, categorical and string variables. The datasets have been shared publicly on the Harvard dataverse.

Effect of feeding oat and vetch forages on milk production and quality in smallholder dairy farms in Central Kenya

Despite the significant livestock contribution to households’ nutrition and incomes in many African smallholder farms, milk productivity remains low. Inadequate feeding is the main reason for the underperformance. To contribute towards addressing this, an on-farm feeding trial was undertaken in Ol-joro-Orok Central Kenya. A feed basket using oat (Avena sativa) cv Conway and vetch (Vicia villosa) was compared to farmers practice. Milk production (kg) and quality parameters, including butterfat, protein, lactose, and density, were monitored, and cost-benefit analysis (CBA) undertaken. Feeding both oat and vetch increased milk production by 21% (morning) and 18%, (evening), equivalent to 1.4xa0kg/day. Increases (%) in quality were butter fat (18.2), solid-non-fat (16.5), lactose (16.2), and protein (16.1). Concomitantly, the CBA returned positive results, supporting the hypothesis of economic advantage in using oat and vetch in milk production in the area, and possibly in other similar areas.

Survey data on cost and benefits of climate smart agricultural technologies in western Kenya

This paper describes data that were collected in three counties of western Kenya, namely Siaya, Bungoma, and Kakamega. The main aim of collecting the data was to assess the climate smartness, profitability and returns of soil protection and rehabilitation measures. The data were collected from 88 households. The households were selected using simple random sampling technique from a primary sampling frame of 180 farm households provided by the ministry of agriculture through the counties agricultural officers. The surveys were administered by trained research assistants using a structured questionnaire that was designed in Census and Survey Processing System (CSPro). Later, the data was exported to STATA version 14.1 for cleaning and management purposes. The data are hosted in an open source dataverse to allow other researchers generate new insights from the data (http://dx.doi.org/10.7910/DVN/K6JQXC).