Africa RISING (AR) initiatives in Mali were implemented in Bougouni, Yanfolila, and Koutiala cercles (administrative units) in the Sikasso region of the country.
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The Africa RISING (AR) program in Malawi was implemented in Dedza and Ntcheu districts in the country’s Central region, primarily using an on-farm participatory approach.
This study evaluates the impact of Africa RISING, a sustainable intensification (SI) program, implemented in Bougouni, Yanfolila, and Koutiala cercles in southern Mali beginning in 2012.
This study evaluates the impact of Africa RISING, a large-scale sustainable intensification (SI) program that has been implemented in Central Malawi’s Dedza and Ntcheu districts beginning in 2012.
The workshop was organized by the CGIAR Research Initiative on Low-Emission Food Systems (MITIGATE+), which is implemented by a large consortium of partners.
Welcome to MoreMilk, a pioneering project led by the International Research Institute and its partners.
In Southeast Asia, Vietnam is known as a hotspot for zoonotic diseases that not only cause serious damage to human health, livelihoods, and the environment, but are also expected to occur more often in the coming years due to intensified livestock
A review of measures and indicators for assessing the relationship between women’s empowerment and nutrition
In this review we sought to understand how the relationship between women’s empowerment and women’s and children’s diet and nutrition outcomes have been conceptualized and studied.
Effectively targeting climate investments: A methodology for mapping climate–agriculture–gender inequality hotspots
Climate change is influencing the transformation of agriculture and food systems across the globe in unprecedented ways.
This paper uses trade data from the COMESA statistical database covering 19 countries covering the period 1997 to 2013 to analyze the trade competitiveness of selected agricultural commodities traded among COMESA member states using the revealed c
Food safety is gaining traction in Kenya due to growing public health concerns for domestic and international trade. Past efforts to establish a food safety management system and a coordination mechanism have not borne fruit.
Scoping study report on: National food safety architecture of the horticulture value chain, Kenya
The horticulture sub-sector contributes about 36% of Kenya’s agricultural gross domestic product (GDP) which stands at 24%.
Report on prioritization of food safety issues in the dairy and horticulture value chains, Kenya
Food borne diseases can be caused by biological, chemical and physical hazards. Most food borne illnesses result from consumption of animal source foods and fruits and vegetables.
Changing demand for animal source foods and their effects on the provision of ecosystem services
Higher incomes in developing countries are associated with dietary shifts away from traditional staples towards highly processed foods and foods with higher nutritive value, such as animal source foods (Popkin 2004; Delgado et al. 2001).
Open data infrastructure for resilience analysis: Implementation, examples and case studies in Kenya
This report serves as documentation for the construction, operation and utility of the Horn of Africa Data Catalog (accessible online at http://data.technicalconsortium.org), which was developed to
In this analysis, we make use of household level data to illustrate some very basic characteristics of pastoral livestock keepers, so that we can represent their behavior and adjustment to environmental shocks.
This study showed how arid and semi-arid areas of Kenya are particularly affected by undernutrition in women and children.
The Cereal Systems Initiative for South Asia (CSISA) works to reduce hunger and increase food and income security of resourcepoor farm families in South Asia through the development and inclusive adoption of new cereal
The major significance of this study is thus, to give the already existing dynamic CGE model the ability to better treat the livestock sector by capturing its complete natural picture through coupling of the stock–flow feature of the sector into t