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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, KindieCassman, Kenneth G.[Bringing CSA Practices to Scale: Assessing their contributions to narrow nutrient and yield gaps]Bringing CSA Practices to Scale: Assessing their contributions to narrow nutrient and yield gaps
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?

Providing food and water security for a population expected to exceed 9 billion by 2050 while conserving natural resources requires achieving high yields on every hectare of currently used arable land suitable for intensification. This is especially relevant for sub-Saharan Africa (SSA), where, u...


Claessens, LievenCassman, Kenneth G.Wart, Justin vanGrassini, PatricioVanlauwe, BernardIttersum, Martin K. vanBussel, Lenny G. J. vanBoogaard, H.Stoorvogel, J.J.Wolf, JoostYang, Haishun[Soil data for yield gap assessment and soil suitability index for sustainable intensification]Soil data for yield gap assessment and soil suitability index for sustainable intensification

Providing food and water security for a population expected to exceed 9 billion by 2050 while conserving natural resources requires achieving high(er) and stable yields on every hectare of currently used arable land suitable for intensification.


Claessens, LievenVanlauwe, BernardCassman, Kenneth G.Wart, Justin vanGrassini, PatricioYang, HaishunIttersum, Martin K. vanBussel, Lenny G. J. vanWolf, JoostBoogaard, H.Groot, Hugo deStoorvogel, J.J.[Soil suitability for sustainable intensification in smallholder systems in Sub-Saharan Africa]Soil suitability for sustainable intensification in smallholder systems in Sub-Saharan Africa
Liu, BingMartre, PierreEwert, FrankPorter, John RChallinor, Andy JMüller, ChristophRuane, Alex C.Waha, KatharinaThorburn, Peter J.Aggarwal, Pramod K.Ahmed, MukhtarBalkovič, JurajBasso, BrunoBiernath, ChristianBindi, MarcoCammarano, DavideSanctis, Giacomo deDumont, BenjaminEspadafor, MónicaRezaei, Ehsan EyshiFerrise, RobertoGarcía Vila, MargaritaGayler, SebastianGao, YujingHoran, HeidiHoogenboom, GerritIzaurralde, Roberto C.Jones, Curtis D.Kassie, Belay T.Kersebaum, Kurt C.Klein, ChristianKöhler, Ann-KristinMaiorano, AndreaMinoli, SaraMartin, Manuel MSNaresh, Soora K.Nendel, ClaasO’Leary, Garry J.Palosuo, TaruPriesack, EckartRipoche, DominiqueRötter, Reimund P.Semenov, Mikhail AStöckle, ClaudioStreck, ThiloSupit, IwanTao, FuluVelde, Marijn van derWallach, DanielWang, EnliWebber, HeidiWolf, JoostXiao, LiujunZhang, ZhaoZhao, ZhiganZhu, YanAsseng, Senthold[Global wheat production with 1.5 and 2.0°C above pre‐industrial warming]Global wheat production with 1.5 and 2.0°C above pre‐industrial warming

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
Asseng, SentholdEwert, FrankMartre, PierreRosenzweig, CynthiaJones, JimHatfield, Jerry L.Ruane, Alex C.Boote, Kenneth J.Thorburn, Peter J.Rötter, Reimund P.Cammarano, DavideBasso, BrunoAggarwal, Pramod K.Angulo, CarlosBertuzzi, PatrickBiernath, ChristianChallinor, Andrew J.Doltra, JordiGayler, SebastianGoldberg, Richard A.Grant, RobertHeng, LeeHooker, JoshHunt, TonyIngwersen, JoachimIzaurralde, Roberto CésarKersebaum, Kurt-ChristianMüller, ChristophNaresh Kumar, SooraNendel, ClaasO'Leary, Garry J.Olesen, J.E.Osborne, Tom M.Palosuo, TaruPriesack, EckartRipoche, DominiqueSemenov, Mikhail A.Shcherbak, IuriiSteduto, PasqualeStöckle, Claudio O.Stratonovitch, PierreStreck ISupit, IwanTao, FuluTravasso, MariaWaha, KatharinaWallach, DanielWhite, Jeffrey W.Williams, JimmyWolf, Joost[Benchmark data set for wheat growth models: Field experiments and AgMIP multi-model simulations]Benchmark data set for wheat growth models: Field experiments and AgMIP multi-model simulations

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
Liu, BingAsseng, SentholdMüller, ChristophEwert, FrankElliott, JoshuaLobell, David B.Martre, PierreRuane, Alex C.Wallach, DanielJones, James W.Rosenzweig, CynthiaAggarwal, Pramod K.Alderman, Phillip D.Anothai, JakaratBasso, BrunoBiernath, ChristianCammarano, DavideChallinor, Andrew J.Deryng, DelphineSanctis, Giacomo deDoltra, JordiFereres, EliasFolberth, ChristianGarcía Vila, MargaritaGayler, SebastianHoogenboom, GerritHunt, Leslie A.Izaurralde, Roberto CésarJabloun, MohamedJones, Curtis D.Kersebaum, Kurt-ChristianKimball, Bruce A.Köhler, Ann-KristinKumar, Soora NareshNendel, ClaasO'Leary, Garry J.Olesen, J.E.Ottman, Michael J.Palosuo, TaruPrasad, P. V. VaraPriesack, EckartPugh, Thomas A. M.Reynolds, Matthew P.Rezaei, Ehsan EyshiRötter, Reimund P.Schmid, ErwinSemenov, Mikhail A.Shcherbak, IuriiStehfest, ElkeStöckle, Claudio O.Stratonovitch, PierreStreck, ThiloSupit, IwanTao, FuluThorburn, Peter J.Waha, KatharinaWall, Gerard W.Wang, EnliWhite, Jeffrey W.Wolf, JoostZhao, ZhiganZhu, Yan[Similar estimates of temperature impacts on global wheat yield by three independent methods]Similar estimates of temperature impacts on global wheat yield by three independent methods

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