The invasive pest, fall armyworm (FAW) was confirmed to be in Ghana in 2016. Stakeholders, including CABI, worked to support the development of a national FAW management plan. A review of the management plan implementation was undertaken using outcome harvesting, a Sprockler inquiry and key informant interviews. Results showed evidence of stakeholder collaboration, leading to increased public awareness of FAW and related management practices, and more coordinated research into low-risk management options.
This publication is one of four CABI briefings on climate change. The key messages in this briefing are:
• Farmers need timely, accurate, and clear advice on how to manage pest risks
• Digitally-enabled early warning systems can help farmers adapt and minimize losses
• The complex interactions between pests, plants, and the environment under future climate change scenarios need further research to determine best practices
• Scaling digital climate information services will require a sharp focus on equity and inclusion
This publication is one of four CABI briefings on climate change. The key messages in this briefing are:
The presentation was delivered to a conference entitled "Science Protecting Plant Health" in Brisbane on September 26th 2017 and then in private policy briefings to ACIAR (Australian Centre for International Agricultural Research) and DAWR (Australian Government Department of Agriculture) in Australia. The presentation includes description of the role of the Tropical Agriculture Platform (TAP) and case study examples from CABI’s work to describe capacity building at the levels of individual, organisation and enabling environment.
Agricultural innovation in low-income tropical countries contributes to a more effective and sustainable use of natural resources and reduces hunger and poverty through economic development in rural areas. Yet, despite numerous recent public and private initiatives to develop capacities for agricultural innovation, such initiatives are often not well aligned with national efforts to revive existing Agricultural Innovation Systems (AIS).
Indicator-based tools are widely used for the assessment of farm sustainability, but analysts still face methodological and conceptual issues, including data availability, the complexity of the concept of sustainability and the heterogeneity of agricultural systems. This study contributes to this debate through the illustration of a procedure for farm sustainability assessment focussed on the case study of the South Milan Agricultural Park, Italy. The application is based on a set of environmental, social and economic indicators retrieved from the literature review.
Although the benefits of genetically modified (GM) crops have been well documented, how do farmers manage the risk of new technology in the early stages of technology adoption has received less attention. We compare the total factor productivity (TFP) of cotton to other major crops (wheat, rice, and corn) in China between 1990 and 2015, showing that the TFP growth of cotton production is significantly different from all other crops. In particular, the TFP of cotton production increased rapidly in the early 1990s then declined slightly around 2000 and rose again.
Familiar mixed dairy sheep farm is the most widespread system in the Mediterranean basin, in Latin America and in developing countries (85%). There is a strong lack of technological adoption in packages of feeding and land use in small-scale farms. To increase competitiveness, it would be of great interest to deepen the knowledge of how innovation was selected, adopted, and spread. The objective of this research was to select strategic feeding and land use technologies in familiar mixed dairy sheep systems and later assess dairy sheep farms in Spain.
Past studies showing that barriers to farmers’ adaptation behaviors are focused on their socio-economic factors and resource availability. Meanwhile, psychological and social considerations are sparingly mentioned, especially for the related studies in developing countries. This study investigates the impact of psychological factors and social appraisal on farmers’ behavioral intention to adopt adaptation measures for the aforementioned reason, due to climate change and not to anthropogenic climate change.
The challenge of food security in Nigeria hinges on several factors of which poor technical efficiency is key. Using a stochastic frontier framework, we estimated the technical efficiency of agricultural households in Nigeria and tested for the significance of mean technical efficiency of food-secure and food-insecure agricultural households. We further assessed the determinants of agricultural households’ inefficiencies within the stochastic frontier model and adopted a standard probit model to assess the determinants of households’ food security status.