Justin Van Wart

TL;DR: In this article, a robust yield gap analysis for 10 countries in sub-Saharan Africa using location-specific data and a spatial upscaling approach reveals that, in addition to yield gap closure, other more complex and uncertain components of intensification are also needed, i.e., increasing cropping intensity and sustainable expansion of irrigated production area.

TL;DR: In this article, the authors developed a protocol to overcome these limitations based on examples for irrigated rice in China, irrigated and rainfed maize in the USA, and rain-fed wheat in Germany.

TL;DR: In this paper, the authors present an explicit rationale and methodology for selecting data sources for simulating crop yields and estimating yield gaps at specific locations that can be applied across widely different levels of data availability and quality.

TL;DR: In this paper, the authors compare global agro-climatic zonation schemes for suitability to up-scale location-specific estimates of Yp and Yw, which are the basis for estimating yield gaps at regional, national, and global scales.

TL;DR: In this article, the authors describe an approach that consists of a climate zonation scheme supple- mented by agronomical and locally relevant weather, soil and cropping system data.