The process of knowledge brokering in the agricultural sector, where it is generally called agricultural extension, has been studied since the 1950s. While agricultural extension initially employed research push models, it gradually moved towards research pull and collaborative research models. The current agricultural innovation systems perspective goes beyond seeing research as the main input to change and innovation, and recognises that innovation emerges from the complex interactions among multiple actors and is about fostering combined technical, social and institutional change.
The “Partnerships for Improving Pastoral Policies” PIPP project has as its objective to update the Tunisian pastoral law and / or to develop a pastoral code. The approach involves multiple institutional levels that include local communities, national governments and international actors. The engagement of different stakeholders in the negotiation process is recognized and fostered. Furthermore, the approach aims to develop capacities of stakeholders involved.
Face à la dégradation des ressources naturelles liée à la surexploitation, à la croissance démographique et au changement climatique, les services nationaux de vulgarisation en Tunisie nécessitent une révision de leurs priorités et une réforme de leurs modes de prestation de services.
ICARDA scientists along with CGIAR LIVESTOCK developed a cloud-based genetic database platform to boost breed improvement programs in community-based livestock breeding programs in Ethiopia.
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.
Breeding programs for local breeds kept by small farmers in developing countries are a major challenge. Animal recording of pedigree and performance under conditions of subsistence livestock farming is remain difficult or next to impossible. 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.
- 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.
The main purpose of this paper is to take stock of some of the most significant results emanating from The International Development Research Centre (IDRC)‐supported programmes, in recent years in the area of organizational capacity development, and feeding into the consultation process for the formulation of IDRC`s next Corporate Strategy Program Framework (CSPF) for the 2010‐2015 period.
Many capacity development (CD) programs and processes aim at long‐term sustainable change, which depends on seeing many smaller changes in at times almost invisible fields (rules, incentives, behaviours, power, coordination etc.). Yet, most evaluation processes of CD tend to focus on short‐term outputs focused on clearly visible changes.
In this article is presented an emergent capacity development approach that the authors have developed through participatory action research in Peru and Ecuador, which they call ‘systemic theories of change’ (STOC), for organisational capacity development. They argue that capacity development should be understood as systemic learning. The STOC approach promotes reflection about how we as individuals, organisations, and broader social groups and societal configurations, understand how change occurs.