Farmers in Asia like to grow cassava because the crop will tolerate long dry periods and poor soils, and will produce reasonable yields with little inputs. Most farmers realize, however, that cassava production on slopes can cause severe erosion, while production without fertilizer inputs may lead to a decline in soil productivity. Research has shown that cassava yields can be maintained for many years with adequate application of fertilizers, and that there are various ways to reduce erosion.
Coordinated formal efforts to generate technologies for enhancing agricultural development in Ethiopia was mainly rooted in formal research and development institutions up to very recently. A number of improved technologies have been generated wlth the efforts made so far and the superiority of some of the technologies over the traditional practices has already been proved, at least for the major commodities.
The livelihoods of mountain farmers are often constrained by poor access to markets and limited entrepreneurial skills for adding value to produce. Research and development organizations have now recognized that improving market access and enhancing the ability of resource-poor mountain farmers to diversify their links with markets are among the most pressing challenges in mountain agriculture.
As global populations continue to increase, agricultural productivity will be challenged to keep pace without overtaxing important environmental resources. A dynamic and integrated approach will be required to solve global food insecurity and position agriculture on a trajectory toward sustainability. Genetically modified (GM) crops enhanced through modern biotechnology represent an important set of tools that can promote sustainable agriculture and improve food security.
Rapid appraisal of agricultural innovation systems (RAAIS) is a participatory, diagnostic tool for integrated analysis of complex agricultural problems. RAAIS facilitates interaction between different groups of stakeholders in collecting and analysing data. The poster briefs what RAAIS is, when to use it, what is available and where it has been used.
The presentation is for the ILRI Innovation Platform (IP) Training Workshop. At the end of this session participants will be able to: Capture basic concepts in IP monitoring and evaluation; Comprehend why it is important to monitor and evaluate IPs; Contribute to fine-tuning of Africa RISING IP monitoring and evaluation framework; Identify IP TG members championing the M&E work at the research sites.
Empirical studies on agricultural technology adoption generally divide a population into adopters and nonadopters, and analyse the reasons for adoption or nonadoption at a point in time. In reality, technology adoption is not a one-off static decision, rather it involves a dynamic process in which information gathering, learning and experience play pivotal roles, particularly in the early stage of adoption. A conceptual framework for an adoption pathway is suggested in which farmers move from learning to adoption, to continuous or discontinuous use over time.
Capacity development (CapDev) is increasingly acknowledged as a crucial part of agricultural development. In the CGIAR Strategic Results Framework (SRF), CapDev is included as a ‘cross-cutting issue’ and as a strategic enabler of Research for Development (R4D) impact for CGIAR and its partners. It goes far beyond the transfer of knowledge and skills through training, and cuts across multiple levels.
This brief is part of a series of ‘Legacy Products’ developed under the CGIAR Research Program on Integrated Systems for the Humid Tropics (Humidtropics – www.humidtropics.org ) to help CGIAR Research Programs integrate key ‘capacity development in systems’ concepts into their work. It introduces the rationale of capacity needs assessment, frameworks/steps and requirements.
Sustainable agricultural intensification requires the use of multiple agricultural technologies in an integrated manner to enhance productivity while conserving the natural resource base. This study analyses the adoption and impacts of sustainable intensification practices (SIPs) using a dataset from Ghana. A multivariate probit (MVP) model was estimated to assess the adoption of multiple SIPs. Moreover, we used a multivalued semi-parametric treatment effect (MVTE) model to estimate the effects of adopting multiple SIPs on maize productivity.