This annual report takes as its theme the central challenge facing the institute and its partners at the start of the new millennium: making the livestock revolution work for the poor. It is a companion report to the institutes new strategic plan, which takes the revolution as its basis in determining how ILRI's programme should evolve in the first decade of the 21st century. The report begins and ends on a farm in central Ethiopia, whose mixed crop-livestock producers are just beginning to participate in the expanding dairy market of the country's capital, Addis Ababa.

This publication provides sharper focus on reducing poverty where it is most absolute and most wide spread. This review outlines a new strategic goal, collaborative ways in which the institute is enhancing its responsiveness to the fast - changing global environment; and five new research themes, viz, Targeting opportunities, Enabling Innovations, Market opportunities, Biotechnology and people, and Livestock and the Environment. The review also identifies three broad pathways, viz security assets, improving productivity, and accessing markets.

This annual report addresses the partnerships that have enhanced ILRI's work at national, regional and international levels, highlighting three particularly inspiring ventures - poverty mapping in East Africa, the Crop-Animal Systems Research Network in Southeast Asia, and development of an improved East Coast fever vaccine, which has engaged researchers from three continents. The five research themes into which ILRI restructured its research portfolio are also outlined.

There is renewed interest in the use of native tree species in ecosystem restoration for their biodiversity benefits. Growing native tree species in production systems (e.g. plantation forests and subsistence agriculture) can also ensure landscape functionality and support for human livelihoods. Achieving these full benefits requires consideration of genetic aspects that are often neglected, such as suitability of germplasm to the site, quality and quantity of the genetic pool used and regeneration potential.

Development of socio-economic scenarios and translating them into suitable storylines and provide an overview of potential data to be used for a quantification of future disease vulnerabilities

The fire severity of the 2013–2014 fire season within Sudanian ecosystems in Burkina Faso was evaluated from Landsat 8 images using derivatives of the Normalized Burn Ratio algorithm (NBR). The relationship between the image-derived severity and the field observed severity i.e. Composite Burn Index (CBI) was best described by a nonlinear model of the form y = a + b*EXP(CBI *c) (R2 = 0.66). Classification of the image-derived burned area into burn severity classes achieved a classification Kappa accuracy statistic of 0.56.