The objective of this report is to present data and expert knowledge on poverty and zoonoses hotspots to inform prioritisation of study areas on the transmission of disease in emerging livestock systems in the developing world, where prevention of zoonotic disease might bring greatest benefit to poor people.

This study produces a set of maps and tables that locate significant populations of poor livestock keepers and has broadly assessed how poor livestock keeping populations are likely to change over the next 3-5 decades. The outputs of the study are based on innovative analysis using new global data sets.

The animal science systems group at Texas A & M University (TAMU) has developed a computer based beef cattle production model for use in tropical countries. This model can be used to predict animal and herd productivity under a variety of management regions in diverse environments. Economic analyses can then be made, based on these predictions.

In the sustainable intensification (SI) of smallholder agroecosystems, researchers and farmers collaborate to produce more food on land currently in cultivation, secure wellbeing in the present day, and bolster ecosystem services to sustain agricultural productivity into the future. In recent years there has been debate in the SI literature about the meaning and boundaries SI, accompanied by calls for clearly defined metrics to evaluate SI efforts. In this review, we present the current state of the literature in regards to SI metrics.

The GHG (greenhouse gas) mitigation potential from the agricultural sector is set to increase in coming decades. Much of the agricultural mitigation potential lies in developing countries where systems are dominated by smallholder farmers. There is therefore an opportunity for smallholders not only to gain environmental benefits from carbon friendly practices, but also to receive much needed financial input, either directly from carbon financing, or from development agencies looking to support carbon friendly activities.