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Ensuring an adequate food supply in systems that protect environmental quality and conserve natural resources requires productive and resource-efficient cropping systems on existing farmland. Meeting this challenge will be difficult without a robust spatial framework that facilitates rapid evalua...


Edreira, J.I.R.Cassman, Kenneth G.Hochman, Z.Ittersum, Martin K. vanBussel, Lenny G. J. vanClaessens, LievenGrassini, P.[Beyond the plot: technology extrapolation domains for scaling out agronomic science]Beyond the plot: technology extrapolation domains for scaling out agronomic science
Ittersum, Martin K. vanBussel, Lenny G. J. vanWolf, JoostGrassini, PatricioWart, Justin vanGuilpart, NicolasClaessens, LievenGroot, Hugo deWiebe, KeithMason-D'Croz, DanielYang, HaishunBoogaard, Hendrik L.Oort, Pepijn A.J. vanLoon, Marloes P. vanSaito, KazukiAdimo, OchiengAdjei-Nsiah, SamuelAlhassane, AgaliBala, AbdullahiChikowo, RegisKaizzi, KayukiKouressy, MamoutouMakoi, Joachim H.J.R.Ouattara, KorodjoumaTesfaye Fantaye, KindieCassman, Kenneth G.[Can sub-Saharan Africa feed itself?]Can sub-Saharan Africa feed itself?

Numerous studies have been published during the past two decades that use simulation models to assess crop yield gaps (quantified as the difference between potential and actual farm yields), impact of climate change on future crop yields, and land-use change. However, there is a wide range in qua...


Grassini, PatricioBussel, Lenny G. J. vanWart, Justin vanWolf, JoostClaessens, LievenYang, HaishunBoogaard, H.Groot, Hugo deIttersum, Martin K. vanCassman, Kenneth G.[How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis]How good is good enough? Data requirements for reliable crop yield simulations and yield-gap analysis

Accurate estimation of yield gaps is only possible for locations where high quality local data are available, which are, however, lacking in many regions of the world. The challenge is how yield gap estimates based on location-specific input data can be used to obtain yield gap estimates for larg...


Bussel, Lenny G. J. vanGrassini, PatricioWart, Justin vanWolf, JoostClaessens, LievenYang, HaishunBoogaard, H.Groot, Hugo deSaito, KazukiCassman, Kenneth G.Ittersum, Martin K. van[From field to atlas: Upscaling of location-specific yield gap estimates]From field to atlas: Upscaling of location-specific yield gap estimates

In rainfed crop production, root zone plant-available water holding capacity (RZ-PAWHC) of the soil has a large influence on crop growth and the yield response to management inputs such as improved seeds and fertilisers. However, data are lacking for this parameter in sub-Saharan Africa (SSA). Th...


Leenaars, Johan G.B.Claessens, LievenHeuvelink, Gerard B.M.Hengl, T.González, M.R.Bussel, Lenny G. J. vanGuilpart, N.Yang, H.Cassman, Kenneth G.[Mapping rootable depth and root zone plant-available water holding capacity of the soil of sub-Saharan Africa]Mapping rootable depth and root zone plant-available water holding capacity of the soil of sub-Saharan Africa

Yield gap analysis, which evaluates magnitude and variability of difference between crop yield potential (Yp) or water limited yield potential (Yw) and actual farm yields, provides a measure of untapped food production capacity. Reliable location-specific estimates of yield gaps, either derived f...


Wart, Justin vanBussel, Lenny G. J. vanWolf, JoostLicker RGrassini, PatricioNelson, A.Boogaard, H.Gerber JMueller NDClaessens, LievenIttersum, Martin K. vanCassman, Kenneth G.[Use of agro-climatic zones to upscale simulated crop yield potential]Use of agro-climatic zones to upscale simulated crop yield potential

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