- Lack of automated data capture systems affects timely feedback and accuracy of information for breeding decisions.
- CGIAR researchers and national research partners have adopted a digital genetic database, Dtreo, that is enhancing genetic improvement by providing timely and accurate animal ranking information to communities.
- Dtreo is a digital genetic database that is flexible and easy to use, that allows users to capture and save data offline. Data is uploaded to the database once an internet connection has been established.
Genetic improvement on local breeds kept by small farmers in developing countries is challenging. Even though good pedigree and performance recording is crucial and an important component of breeding programs, it remain difficult or next to impossible under conditions of subsistence livestock farming. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
This practitioner’s guide, a companion volume to The Innovation Paradox picks up where the previous report left off. It aims to help policy makers in developing countries better formulate innovation policies. It does so by providing a rigorous typology of innovation policy instruments, including evidence of impact—and more importantly, the critical conditions in terms of institutional capabilities to successfully implement these policy instruments in developing countries.
ICT-driven digital tools to support smallholder farmers are arguably inevitable for agricultural development, and they are gradually evolving with promising outlook. Yet, the development and delivery of these tools to target users are often fraught with non-trivial, and sometimes unanticipated, contextual realities that can make or mar their adoption and sustainability. This article unfolds the experiential learnings from a digital innovation project focusing on surveillance and control of a major banana disease in East Africa which is being piloted in Rwanda.
This article conceptualizes the diffusion of user innovations from a service ecosystem perspective. With the focus on sustainable innovations, the service ecosystem is evaluated, along with other systemic innovation concepts, as a possible theoretical basis for explaining the first adoption and diffusion of user innovations.
The level of agricultural productivity in Sub-Saharan Africa remains far below the global average. This is partly due to the scarce use of production- and process-enhancing technologies. This study aims to explore the driving forces and effects of adopting innovative agricultural technologies in food value chains (FVC). These enhancing FVC technologies are referred to as upgrading strategies (UPS) and are designed to improve specific aspects of crop production, postharvest processing, market interaction, and consumption.
At the 5th Global Science Conference on Climate-Smart Agriculture in Bali, CCAFS, IFAD and USDA-FAS organized the Side event “Accelerating innovation development and scaling climate-smart agriculture to drive a transformation in food systems”. High-level representatives of > 20 governments, research, donor, financial and policy institutions, civil society and private sectors discussed their previously shared insights and agreed to act as an “Insight Group” for further related CCAFS research and action.
La literatura señala que la innovación tiene como base el conocimiento, para promover cambios que generen mayores beneficios en las empresas. En este trabajo, se analiza el nivel de adopción de innovaciones y los factores asociados en 94 empresas familiares agropecuarias y agroindustriales mexicanas, participantes en una capacitación enfocada en aspectos técnicos, administrativos, organizacionales y familiares. Se encuestó al 63% de estas empresas y se analizó la información a través de indicadores de innovación, comparación de medias y correlaciones.
CONTEXT: Adoption and diffusion of digital farming technologies are expected to help transform current agricultural systems towards sustainability. To enable and steer transformation we need to understand the mechanisms of adoption and diffusion holistically. Our current understanding is mainly informed by empirical farm-level adoption studies and by agent-based models simulating systemic diffusion mechanisms. These two approaches are weakly integrated.
Pour accompagner les efforts d’adaptation au changement climatique couplé à la rareté des ressources en eau et promouvoir une agriculture durable à forte valeur ajoutée, la TIL est l'un des moyens les plus significatifs pour améliorer la productivité de l'eau en agriculture. Au Maroc, En dépit des efforts et incitations financières pour accélérer l’adoption de la TIL, les superficies actuellement équipées de cette technologie ne représentent qu'une part négligeable du potentiel.