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.

Sustainable intensification (SI) is at the forefront of food security discussions as a means to meet the growing demand for agricultural production while conserving land and other resources. A broader definition of SI is emerging that takes into account the human condition, nutrition and social equity. Next steps require identification of indicators and associated metrics, to track progress, assess tradeoffs and identify synergies. Through a systematic, qualitative review of the literature we identified SI indicators, with a primary focus on African smallholder farming systems.

The International Livestock Research Institute (ILRI) hosted a 3-day workshop sponsored by the

Differences in resource endowment between regions influence the technologies used in livestock production and cause location-specific effects on production and technical change. Access to

This study was coordinated by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) to identify areas that are food insecure and vulnerable to the impacts of future climate change, across the priority regions for the CGIAR centres. The research was undertaken by a team of scientists from the International Livestock Research Institute (ILRI).