Providing food and other products to a growing human population while safeguarding natural ecosystems and the provision of their services is a significant scientific, social and political challenge. With food demand likely to double over the next four decades, anthropization is already driving climate change and is the principal force behind species extinction, among other environmental impacts. The sustainable intensification of production on current agricultural lands has been suggested as a key solution to the competition for land between agriculture and natural ecosystems.
In this chapter, it is applied the CGPE model to analyzing the performance of policy processes with respect to the production of efficient policy choices. Within the CGPE approach participation of stakeholder organizations is modeled in two ways. First, as classical lobbying influence and second as informational influence within a model of political belief formation.
The Agricultural Innovation System (AIS) is a network of organizations, enterprises and individuals that focuses on bringing new products, processes and forms of organization into economic use, together with the institutions and policies that affect their behaviour and performance. In the small North East Indian state of Tripura, System of Rice Intensification (SRI) has grown to develop into an innovation system where various stakeholders have come together to make the state self-sufficient in food grains.
A central concern about achieving global food security is reconfiguring agri-food systems towards sustainability. However, historically-informed trajectories of agri-food system development remain resistant to a change in direction. Through a systematic literature review, the authors identify three research domains exploring this phenomenon and six explanations of resistance: embedded nature of technologies, misaligned institutional settings, individual attitudes, political economy factors, infrastructural rigidities, research and innovation priorities.
AARINENA was established to strengthen cooperation among national, regional and international agricultural research institutions and centers to ultimately support the agricultural sector in its member countries. Women farmers significantly contribute to the agricultural development in the WANA region, but often remain invisible in agricultural research and knowledge transfer.
This brief outlines why it is needed an index to measure and monitor women’s access to the services, markets, policies and other aspects constraining their ability to contribute to and benefit from opportunities in agriculture and agribusiness, especially in the developing world. This would allow policy-makers, women’s development advocates and development partners to better focus their efforts so they make agriculture work for women
This Working Paper on Capacity Building is one of a series of 10 papers published alongside DFID's Research Strategy 2008-2013. It presents the case for DFID-funded research on Capacity Building - drawing on the responses given during a global consultation that DFID convened in 2007 about its future research.
The Scaling Agricultural Innovations Workshop gathered scaling experts from a range of organizations and agriculture sectors to share their experiences and ideas on the findings and lessons learned from five case studies (hybrid maize in Zambia, irrigated rice in Senegal, Purdue Improved Crop Storage bags in Kenya, agricultural machinery services in Bangladesh, and Kuroiler chickens in Uganda).
Xanthomonas Wilt of Banana (BXW) is a complex problem in the African Great Lakes Region that is affecting the livelihoods of millions of smallholder farmers. Since the first disease reports from Uganda and the Democratic Republic of Congo in 2001, BXW has been studied widely. The majority of these studies focus on the technological or biophysical dimensions, while aspects and influence of socio-cultural, economic and institutional dimensions only recently started to gain attention.
The main goal of the study is to quantify the effects of a) change in nitrogen fertilization rate, b) adjustment of sowing date, c) implementation of new cultivars, and d) supplementary irrigation on maize cropping systems across six African countries including Ghana, Nigeria, Kenya, Malawi, Ethiopia and Burkina Faso. For this purpose, 30 years (1980-2010) of climate data are used as well as soil and management information obtained from global datasets at 0.5° x 0.5° spatial resolution.