African farming systems are highly heterogeneous: between agroecological and socioeconomic environments, in the wide variability in farmers’ resource endowments and in farm management. This means that single solutions (or ‘silver bullets’) for improving farm productivity do not exist. Yet to date few approaches to understand constraints and explore options for change have tackled the bewildering complexity of African farming systems. In this paper we describe the Nutrient Use in Animal and Cropping systems – Efficiencies and Scales (NUANCES) framework.
This paper (Part I) present a case study of work conducted by the International Centre for Tropical Agriculture (CIAT) to adapt network mapping techniques to a rural and developing country context. It reports on work in Colombia to develop a prototype network diagnosis tool for use by service providers who work to strengthen small rural groups. It is complemented by a further paper in this issue by Louise Clark (Part II) which presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia.
The livelihoods of mountain farmers are often constrained by poor access to markets and limited entrepreneurial skills for adding value to produce. Research and development organizations have now recognized that improving market access and enhancing the ability of resource-poor mountain farmers to diversify their links with markets are among the most pressing challenges in mountain agriculture.
Sustainable agricultural intensification requires the use of multiple agricultural technologies in an integrated manner to enhance productivity while conserving the natural resource base. This study analyses the adoption and impacts of sustainable intensification practices (SIPs) using a dataset from Ghana. A multivariate probit (MVP) model was estimated to assess the adoption of multiple SIPs. Moreover, we used a multivalued semi-parametric treatment effect (MVTE) model to estimate the effects of adopting multiple SIPs on maize productivity.
The Raya valley in Tigray, where Alamata Woreda is located, has suitable climate and rich water resources, among others, to grow various tropical fruits. Development of fruits only started a few years ago (1996) with the Raya Valley Development Project and the OoARD (Office of Agriculture and Rural Development), mostly focusing on papaya. A participatory rural appraisal (PRA) study conducted by the Woreda stakeholders identified tropical fruits as a potential marketable commodity in 2005.
This guide is the second in a series of documents designed to support agencies implementing participatory agroenterprise development program operating within defined geographical areas.
The study was commissioned by the Advisory Service on Agricultural Research for Development of the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) and was carried out in cooperation with GIZ Western Kenya and the International Centre for Tropical Agriculture in Nairobi. Overall objective of the study was to design a strategy and make recommendations for locally adapted climate smart agriculture (CSA) tailored to smallholder needs in Western Kenya. This included the production of practical policy and technical guidance material.
The article examines the effect of membership in farmer groups (MFG) on adoption lag of agricultural technologies and farm performance in Burundi, the Democratic Republic of Congo and Rwanda. We use duration and stochastic production frontier models on farm household data. We find that the longer the duration of MFG, the shorter the adoption lag and much more so if combined with extension service delivery. Farmer groups function as an important mechanism for improving farm productivity through reduced technical inefficiency in input use.
Agricultural Innovation Marketplace - South-South Cooperation Beyond Theory provides a thorough discussion of the creation, the current status, and future of the Agriculture Innovation Marketplace (The MKTPlace), an international, open partnership aiming to contribute to agricultural development in Africa, Latin America, and the Caribbean. Using the recent success of Brazilian agriculture, this partnership seeks to learn from those achievements, financing and organizing projects in other developing countries.
Background: Up to now, efforts to help local communities out of the food-insecurity trap were guided by researcher (or other actors)-led decisions on technologies to be implemented by the communities. This approach has proved inefficient because of low adoption of the so-called improved technologies. This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal.