The frequency and severity of uncertain rainfall and climate extremes are projected to increase across many parts of the world. Access to rainfall forecasting information becomes an essential and critical resource that smallholder farmers should use to take advantage of good rains and avoid its adverse effects. In many smallholder farming communities, the reliability and accuracy of the scientific information is questionable and therefore not adequately used to make informed farming decisions.
Participatory plant breeding (PPB) is based on the decentralization of selection in farmers’ fields and their involvement in decision-making at all steps of the breeding scheme. Despite the evidence of its benefits to develop population varieties adapted to diversified and local practices and conditions, such as organic farming, PPB is still not widely used. There is a need to share more broadly how the different programs have overcome scientific, practical, and organizational issues and produced a large number of positive outcomes.
In sustainability research, transdisciplinary (TD) approaches that involve practitioners in the research process have emerged as promising tools for enhancing real-world knowledge and engendering societal change. However, empirical insights into how such participation can contribute to the societal effects of TD research are scant and largely rely on single case studies, neglecting practitioners’ perceptions.
The integration of male and female smallholders in high-end value chains (e.g. those for tree crops like cocoa, oil palm, avocado, and mango), has been promoted throughout the global South as a strategy for poverty alleviation, economic growth, employment generation, gender equality, and improved wellbeing. More critical literature, however, questions the inclusiveness of farmers’ value chain engagement. Despite rapid mainstreaming of inclusiveness in policy discourse, remarkably little literature sheds light on the operationalization of the concept. This paper addresses this gap.
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.
The framework is designed to assess resilience to specific challenges (specified resilience) as well as a farming system's capacity to deal with the unknown, uncertainty and surprise (general resilience). The framework provides a heuristic to analyze system properties, challenges (shocks, long-term stresses), indicators to measure the performance of system functions, resilience capacities and resilience-enhancing attributes. Capacities and attributes refer to adaptive cycle processes of agricultural practices, farm demographics, governance and risk management.
The interactions between bottom-up initiatives and top-down structures in the implementation of regional development policies and projects are complex in theoretical and practical terms. Using concepts such as transformative social innovation, adaptive governance, and bridging institutions, we developed an analytical framework to enhance understanding of the processes by which local top-down and bottom-up forces enhance sustainable rural development by co-developing bottom-linked governance.
El presente artículo presenta el estudio de caso desarrollado con la Asociación Agropecuaria de Mujeres Emprendedoras del Municipio de Sotaquirá (ASOAMMES), en el que se propuso y se desarrolló una estrategia de diseño participativo, con el objetivo de generar valor agregado y ventajas competitivas en las actividades productivas que desempeñan las 40 mujeres que conforman dicha asociación.
El establecimiento de prioridades de investigación e innovación es una preocupación permanente en la gobernanza de la ciencia y la tecnología, debido a que permea la definición de los objetos de estudio, la asignación de recursos por parte del Estado y la apropiación social de los resultados. Este artículo analiza las Agendas Estatales de Innovación en México, un programa impulsado por el gobierno mexicano para definir prioridades de innovación en la escala estatal.
El presente trabajo pone en relevancia la promoción del diseño y gestión de innovaciones tecnológicas para la resolución de problemáticas socio-productivas locales. Desde una visión de innovación, que intenta superar la óptica exclusivamente económica, se toma como caso paradigmático una experiencia de producción de hábitat desarrollada en la localidad de Concordia (Entre Ríos, Argentina). La misma, desarrolla colectivamente una tecnología asociada a sistemas constructivos en madera, con el fin de promover procesos productivos sustentables a partir de recursos y saberes locales.