While agricultural production statistics are reported on a geopolitical – often national - basis we often need to know the status of production or productivity within specific sub-regions, watersheds, or agro-ecological zones. Such re-aggregations are typically made using expert judgments or...

"From a theoretical perspective crop yields should tend to converge over time and space as: growth in yield potential exhibits diminishing returns; an increasing share of farmers shift to using high yielding varieties (HYVs); barriers to the free flow of knowledge and information are removed; and...

"Climate change continues to have major impact on crop productivity all over the world. While many researchers have evaluated the possible impact of global warming on crop yields using mainly indirect crop simulation models, there are relatively few direct assessments on the impact of observed...

In this paper we describe how biophysical data can be used, in conjunction with agroecological concepts and multimarket economic models, to systematically evaluate the effects of agricultural R&D in ways that inform research priority setting and resource allocation decisions. Agroecological...

Two increasingly shared perspectives within the international development community are that (a) geography matters, and (b) many government interventions would be more successful if they were better targeted. This paper unites these two notions by exploring the opportunities for, and benefits...

Coffee is the most important export crop in Uganda and an important source of income among smallholder farmers in large parts of the country. The Robusta type dominates coffee production and Ugandan Robusta is demanded by roasters as a component in certain blends due to its special taste...

"Because the conditions for agricultural development vary considerably across space, we need to develop methods that allow us to take such variability into account when evaluating development strategies for particular crops or farming systems. This paper addresses spatially varying...