The contributions and dynamic interaction of thousands of stakeholders from all sectors have created the GCARD (Global Conference on Agricultural Research for Development) Roadmap, providing a clear path forward for all involved. The Roadmap highlights the urgent changes required in Agricultural Research for Development (AR4D) systems globally, to address worldwide goals of reducing hunger and poverty, creating opportunity for income growth while ensuring environmental sustainability and particularly meeting the needs of resource-poor farmers and consumer.

The “E-learning methodologies” guide aims to support professionals involved in the design and development of e-learning projects and products. The guide reviews the basic concepts of e-learning with a focus on adult learning, and introduces the various activities and roles involved in an e-learning project. The guide covers methodologies and tips for creating interactive content and for facilitating online learning, as well as some of the technologies used to create and deliver e-learning.

Gender equality is one of the ten core principles of the Voluntary Guidelines on the Responsible Governance of Tenure of Land, Fisheries and Forests in the Context of National Food Security. This guide aims to assist in its implementation through the achievement of responsible gender-equitable governance of land tenure. The guide focuses on equity and on how land tenure can be governed in ways that address the different needs and priorities of women and men.

Forest genetic resources (FGR) are the heritable materials maintained within and among tree and other woody plant species that are of actual or potential economic, environmental, scientific or societal value. They are crucial to the adaptation and protection of our ecosystems, landscapes and production systems, yet are subject to increasing pressures and unsustainable use.

This Module is the third in a series of four that address capacity development competencies in FAO. It is intended to enhance FAO’s practices in designing, developing, delivering and evaluating its activities in support of learning in Member Countries, while ensuring that learning leads to sustainable capacity development.

The State of Food and Agriculture 2014: Innovation in family farming analyses family farms and the role of innovation in ensuring global food security, poverty reduction and environmental sustainability. It argues that family farms must be supported to innovate in ways that promote sustainable intensification of production and improvements in rural livelihoods. Innovation is a process through which farmers improve their production and farm management practices.

This paper explores the use of complex adaptive systems theory in development policy analysis using a case study drawn from recent events in Uganda. It documents the changes that took place in the farming system in Soroti district during an outbreak of African cassava mosaic virus disease (ACMVD) and the subsequent decline in cassava production — the main staple food in the area. Resultant adaptation impacts are analysed across cropping, biological, economic and social systems each of which operate as an interlinked sub-system.

Learning Module 4 is the fourth in the FAO capacity development series. It aims to create a basic understanding of OD and system thinking approaches, as even a basic understanding can cultivate a new way of working. It reflects the learning experience, constructive inputs and wealth of exchanges from the OD seminar series which was held in FAO between March and November 2012.

This module is the second in the series designed to improve Capacity Development (CD) approaches in projects and programmes of the Food and Agriculture Organization of the United Nations (FAO). It includes examples and tools to support endogenous CD processes in the areas of FAO’s mandate. Practitioners also may draw on the other Learning Modules (see box 1) which cover tools from disciplines such as organization analysis and development, learning event planning, facilitation and instructional science.

This paper argues that impact assessment research has not made more of a difference because the measurement of the economic impact has poor diagnostic power. In particular it fails to provide research managers with critical institutional lessons concerning ways of improving research and innovation as a process. Paper's contention is that the linear input-output assumptions of economic assessment need to be complemented by an analytical framework that recognizes systems of reflexive, learning interactions and their location in, and relationship with, their institutional context.