Enhancing the diversity of agricultural production systems is increasingly recognized as a potential
means to sustainably provide diversified food for rural communities in developing countries, hence
ensuring their nutritional security. However, empirical evidences connecting farm production
diversity and farm-households’ dietary diversity are scarce. Using comprehensive datasets of
market-oriented smallholder farm households from Indonesia and Kenya, and subsistence farmers
Recent research has analyzed whether higher levels of farm production diversity contribute to improved diets in smallholder farm households. We add to this literature by using and comparing different indicators, thus helping to better understand some of the underlying linkages. The analysis builds on data from Indonesia, Kenya, and Uganda. On the consumption side, we used 7-day food recall data to calculate various dietary indicators, such as dietary diversity scores, consumed quantities of fruits and vegetables, calories and micronutrients, and measures of nutritional adequacy.
Background
Classical innovation adoption models implicitly assume homogenous information flow across farmers, which is often not realistic. As a result, selection bias in adoption parameters may occur. We focus on tissue culture (TC) banana technology that was introduced in Kenya more than 10 years ago. Up till now, adoption rates have remained relatively low.
CABI and the Cereal Growers Association (CGA) have been sharing information with farmers in Kenya on how to effectively and safely manage the continuing threat of the invasive fall armyworm (Spodoptera frugiperda). This was achieved thanks to a development communication campaign that combined video sharing through a network of lead farmers and social media.
This document presents a proposed methodology for public expenditure review and analysis for climate change adaptation and mitigation in the agriculture sector (PERCC) and its application to a case study of Kenya. It starts by explaining the basic methodological concepts, classification and labelling of public expenditures that allow for calculating spending in agriculture related to climate change adaptation and mitigation.
Climate change is threatening development gains and intensifying global inequities—putting peace and important gains in human well-being at risk.
Since 1979, IFAD has invested US$455.09 million in 20 programmes and projects in Kenya (at a total cost of US$980.31 million), in support of the Government’s efforts to reduce rural poverty. In Kenya, IFAD loans provide support to smallholders and value chain actors (such as agrodealers, private extension services, small traders and processors) in the dairy sector, aquaculture, livestock and cereal value chains. In addition, they strengthen the resilience of the natural resource base and improve access to rural financial services.
Accurate and operational indicators of the start of growing season (SOS) are critical for crop modeling, famine early warning, and agricultural management in the developing world. Erroneous SOS estimates–late, or early, relative to actual planting dates–can lead to inaccurate crop production and food-availability forecasts. Adapting rainfed agriculture to climate change requires improved harmonization of planting with the onset of rains, and the rising ubiquity of mobile phones in east Africa enables real-time monitoring of this important agricultural decision.
There are growing expectations that Information and Communication Technology (ICT) applications could help improve on-farm yields amongst smallholder farmers in developing countries, and consequently, food and nutrition security. However, few studies have quantified the actual contribution of ICT applications on farmers’ yields, and these studies predominantly focused on crop production. We assessed the potential of ICT applications to close milk yield gaps among small- and medium scale dairy cattle farmers in Africa.