Given limited land and water resources available for crop production and population soon to exceed 9 billion, ensuring food security while protecting carbon-rich and biodiverse rainforests, wetlands, and grasslands depends on our ability to increase current crop yields on existing farmland through sustainable intensification. The Global Yield Gap and Water Productivity Atlas (GYGA) provides robust estimates of untapped crop production potential on existing farmland based on current climate and available soil and water resources.
Results from the atlas can serve for identifying regions with greatest potential for investment in agricultural development and technology transfer and to monitor impact over time. Likewise, the atlas provides essential information to assess the feasibility of a country to achieve food self-sufficiency through crop intensification and, if this cannot be achieved, for assessing how much extra land clearing or food import will be needed to meet future demand for food. The atlas is a foundation for studies aiming to explain and mitigate yield gaps and investigate impact of climate change, land use, and environmental footprint of agriculture.
GYGA is an international project requiring collaboration among agronomists with knowledge of production systems, soils, and climate governing crop performance in their countries. A standard protocol for assessing yield potential (Yp), water-limited yield potential (Yw), yield gaps (Yg) and water productivity (WP) is applied for all crops and countries based on best available data, robust crop simulation models, and a bottom-up approach to upscale results from location to region and country. GYGA aspires for global coverage of yield gaps for all major food crops and countries that produce them. The first phase of the project (2012-2015) focussed on cereal crops. Recently, the crop list has been extended with soybean, sugarcane and potato. Detailed maps and associated databases are displayed and available to download.
Currently the country by crop combinations included in the atlas account for 70, 84, and 45%, respectively, of the global rice, maize, and wheat production.
|CROP||% GLOBAL AREA||% GLOBAL PRODUCTION|
NEW: Publications on yield gaps across Europe, on technology extrapolation domains and two publications on soils in sub-Saharan Africa
Please look at our references pages or look inside 'read more' below.
Schils, René L.M., J.E.Olesen, K.C.Kersebaum, B.Rijk, M.Oberforster, V.Kalyada, M.Khitrykau, A.Gobin, H.Kirchev, V.Manolova, I.Manolov, M.Trnka, P.Hlavinka, T.Paluoso, P.Peltonen-Sainio, L.Jauhiainen, J.Lorgeou, H.Marrou, N.Danalatos, S.Archontoulis, N.Fodor, J.Spink, P.P.Roggero, S.Bassu, A.Pulina, T.Seehusen, A.K.Uhlen, K.Żyłowska, A.Nieróbca, J.Kozyra, J.Vasco Silva, B. Martins Maçãs, J.Coutinho, V.Ion, J.Takáč, M. Inés Mínguez, H.Eckersten, L.Levy, J.M.Herrera, J.Hiltbrunner, O.Kryvobok, O.Kryvoshein, R.Sylvester-Bradley, D.Kindred, C.F.E.Topp, H.Boogaard, H.de Groot, J.P.Lesschen, L. van Bussel, J.Wolf, M.Zijlstra, M.P.van Loon M.K.van Ittersum. 2018. Cereal yield gaps across Europe. European Journal of Agronomy. Vol. 101 (November 2018), 109-120; https://doi.org/10.1016/j.eja.2018.09.003
Rattalino Edreira, Juan I, Kenneth G Cassman, Zvi Hochman, Martin K van Ittersum, Lenny van Bussel, Lieven Claessens and Patricio Grassini. 2018. Beyond the plot: technology extrapolation domains for scaling out agronomic science.Environ. Res. Lett. 13 (2018) 054027
Leenaars Johan G.B., Lieven Claessens, Gerard B.M. Heuvelink, Tom Hengl, Maria Ruiperez González, Lenny G.J. van Bussel, Nicolas Guilpart, Haishun Yang, Kenneth G. Cassman. 2018. Mapping rootable depth and root zone plant-available water holding capacity of the soil of sub-Saharan Africa. Geoderma Vol. 324, (2018), 18–36; https://doi.org/10.1016/j.geoderma.2018.02.046
Guilpart N., P. Grassini, J. van Wart, H. Yang, M.K. van Ittersum, Lenny G J van Bussel, J Wolf, L Claessens, J. G B Leenaars and K.G. Cassman. 2017. Rooting for food security in Sub-Saharan Africa. Environ. Res. Lett.12 (2017) 114036; https://doi.org/10.1088/1748-9326/aa9003
Please read the license information in case you are interested in using the data from the Global Yield Gap Atlas.
Data from the Atlas are available for use under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) license.
For commercial use a license agreement is needed. We have different commercial license types available, either for a single use of the data within a project context or multiple use and commercialization, suiting your needs. Please email Patricio Grassini (UNL) or Martin van Ittersum (WUR) to discuss options.
- Maize, Rice, Wheat
- Barley, Potato
- Rapeseed, Sugarbeet
- Beans, Peas
- Update on maize
- Côte D'ivoire, Madagascar, Rwanda, Egypt, Senegal:
- South Africa: