Agricultural transformation and development are critical to the livelihoods of more than a billion small-scale farmers and other rural people in developing countries. Extension and advisory services play an important role in such transformation and can assist farmers with advice and information, brokering and facilitating innovations and relationships, and dealing with risks and disasters.
The quality of rural extension and advisory services is a crucial element in fostering innovation and rural development. This article aims to clarify the concept of quality of rural extension and to develop a preliminary theoretical framework. An ample literature review was conducted in search of articles on service quality and quality of rural extension and advisory services. The first part presents the main results of the literature search on quality of extension services. The definition of quality is not universal.
A worthy agricultural innovation system (AIS) is one that that helps an agricultural sector be productive, sustainable and resilient and facilitates reduction in poverty and malnutrition. How can an AIS be made resilient in the context of the COVID-19 pandemic is a question pondered in this note. The key issue will be continued strong investment in knowledge and technology creation that underpins growth in productivity and the active pursuit of mechanisms that make agriculture more resilient to the emerging environments challenges around the world.
The Unites States Agency for International Development (USAID) Feed the Future De-veloping Local Extension Capacity (DLEC) project conducted a three-country study on youth and EAS in Rwanda, Niger and Gua-temala. These case studies provided a land-scape analysis to inform actions to strengthen the inclusion of youth in EAS to improve their livelihoods and increase the effective-ness of EAS systems.
The profound changes in European policy for farms advisory services (FAS) require a period of experimentation and results observation before the new CAP 2021-2027. This paper focuses on Measure 2 of Rural Development Programme (RDP) 2014-2020. The paper is focused on the description of case studies in three Italian regions: Campania, Emilia-Romagna and Veneto. Different Measure 2 – sub-measure 2.1 models are analyzed through a qualitative approach, using a conceptual framework adapted by Birner et al. (2009).
Though Odisha is India’s top sweetpotato-producing state, most farmers grow low-yielding varieties of limited nutritional value. The Odisha Directorate of Horticulture and the International Potato Center (CIP) spent four years promoting improved varieties and good agricultural practices in four districts of Odisha, resulting in a 25 per cent growth in the area dedicated to the crop, a 17 per cent increase in farm productivity, and a 40 per cent increase in farmer incomes within the project areas; as well as the introduction of a nutritious, orange-fleshed sweetpotato variety.
Capacity building for integrating gender in research and development (R&D) on agricultural innovations often remains with organizing single gender training. Alternatively, it is often limited to hiring a gender specialist to allocate a small amount of her/his time to the project. This has proofed to be ineffective and a heavy burden for gender specialists. This success story presents an innovative approach to capacity development, which successfully changed agricultural researchers’ attitude to gender in Southeast Asia, with a specific focus in Vietnam.
The TOWS Matrix is derived from the SWOT Analysis model. The SWOT analysis is based on two factors; internal factors (Strengths and Weakness) and external factors (Opportunities and Threats). For an organisation to function at the best of its potential, these tools should be utilised at the beginning of the year. This article shows how important these tools are important in an organisation.
This guide on Monitoring, Evaluation and Learning was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.
Este documento explora las demandas tecnológicas y de extensión que los principales actores en el entorno institucional esperan que el INTA atienda, de cara al 2030.