This study was undertaken to assess the utility of remotely sensed net primary productivity (NPP) data to measure agricultural sustainability by applying a new methodology that captures spatial variability and trends in total NPP and in NPP removed at harvest. The sustainable intensification of agriculture is widely promoted as a means for achieving the Sustainable Development Goals (SDGs) and transitioning toward a more productive, sustainable, and inclusive agriculture, particularity in fragile environments.
Africa RISING (AR) is a research-for-development program that aims to create opportunities for smallholder farmers to move out of hunger and poverty through sustainable intensification of their farming systems.
Capacity development interventions in support of agricultural innovation are more effective when based on systematic and participatory assessments of existing skills and capacity needs. Recognizing that, an instrument has been developed in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. It consists of a capacity scoring tool that allows assessing innovation capacities, identifying strengths and weaknesses and monitoring capacity changes over time. This paper describes the scoring tool and provides guidelines on how to apply it successfully.
Rice is produced in other parts of Angola, but not in the area around Bailundo, though conditions are favourable and there is much local demand. Building on the provision of technical expertise from other organisations, CDAIS is adding capacity development of another sort, of the ‘soft skills’ required to collaborate, learn, engage and adapt. “Now we will grow rice forever” says Marcos Satuala. “This innovation has given us a great thing – a new crop for us. And with CDAIS we can learn more, and grow more, for our families and to sell.”
"CDAIS is interesting for us because it is improving how we operate”, explains Francisco Venda, president of the Sementes do Planalto seed cooperative based in Bailundo. “We work with many partners, and the new skills have proved invaluable.” Since 2016, CDAIS has been working with this group, helping them to identify and agree their priority needs, and take steps to overcoming them. But much is yet to be done, though the high levels of energy and enthusiasm will ensure that progress will continue long after the project has ended.
Angola has so much potential as an agricultural country, with up to 50 million hectares that could be cultivated. But why
TAP and its partners carried out regional surveys in Asia, Africa and Central America to assess priorities, capacities and needs in national agricultural innovation systems. This document provides a Regional synthesis report on capacity needs assessment for agricultural innovation in Africa. FARA was selected as Recipient Organization by FAO to facilitate TAP implementation in Africa. This is mainly due to its position as the umbrella organization bringing together and forming coalitions of major regional stakeholders in agricultural research and development.
Argentine agriculture has undergone significant transformations over the past three decades. After a long period of stagnant production and productivity, starting in the early 1970s, a number of independent but interconnected events fostered a new technological cycle that induced rapid growth in cereals and oilseeds production. Zero tillage and the introduction of genetically modified soybean varieties were key elements of this change. Argentina reached a leading position across agricultural commodity markets.
The article provides a conceptual framework and discusses research methods for analyzing pluralistic agricultural advisory services. The framework can also assist policy-makers in identifying reform options. It addresses the following question: Which forms of providing and financing agricultural advisory services work best in which situation? The framework ‘disentangles’ agricultural advisory services by distinguishing between (1) governance structures, (2) capacity, (3) management, and (4) advisory methods.
This paper takes a closer look at innovation systems, including the various actors involved, their interrelationships, and governance mechanisms. Innovation systems operate at different levels, in terms of structure, functioning, and performance at the national level, and from two different angles: as a macrostructure that involves different functions and key organizations working on these functions, and as the composite of different innovation networks comprising individuals and local and national organizations.