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Efforts are under way in the agricultural research for development community to employ crop growth simulation models for the ex"=ante assessment of the impacts of agricultural technologies, in particular improved crop varieties. The approach, dubbed ``virtual crop modelling'', consists in the man...


Kleinwechter, U.Asseng, SentholdGastelo, M.Ritchie, J.Nelson, J.[Virtual crop modeling for technology impact assessment - lessons from a potato crop growth model]Virtual crop modeling for technology impact assessment - lessons from a potato crop growth model

Molero Milan, AnabelReynolds, Matthew P.Asseng, SentholdKholová, JanaRamírez Villegas, JuliánKrupnik, Timothy J.Jones, Peter[CoP on Crop Modeling Mini-Grants Report 2018]CoP on Crop Modeling Mini-Grants Report 2018

Virtual crop modeling is the representation of future genetic improvements from plant breeding in crop growth simulation models through changes in genetic coefficients or other crop model parameters with the objective of analyzing ex-ante the impacts of improved traits on crop yields and assistin...


Raymundo, R.Kleinwechter, U.Asseng, Senthold[Virtual potato crop modeling: A comparison of genetic coefficients of the DSSAT-SUBSTOR potato model with breeding goals for developing countries]Virtual potato crop modeling: A comparison of genetic coefficients of the DSSAT-SUBSTOR potato model with breeding goals for developing countries

Crop models are used for an increasingly broad range of applications, with a commensurate proliferation of methods. Careful framing of research questions and development of targeted and appropriate methods are therefore increasingly important. In conjunction with the other authors in this special...


Challinor, Andrew J.Müller, ChristophAsseng, SentholdDeva, ChetanNicklin, Kathryn JaneWallach, DanielVanuytrecht, ElineWhitfield, StephenRamírez Villegas, JuliánKöhler, Ann-Kristin[Improving the use of crop models for risk assessment and climate change adaptation]Improving the use of crop models for risk assessment and climate change adaptation
Martre, PierreAsseng, SentholdEwert, FrankMüller, ChristophRötter, Reimund P.Ruane, Alex C.Semenov, Mikhail A.Wallach, DanielWang, EnliAlderman, Phillip D.Kassie, Belay T.Biernath, ChristianBasso, BrunoCammarano, DavideChallinor, Andrew J.Doltra, JordiDumont, BenjaminRezaei, Ehsan EyshiGayler, SebastianKersebaum, Kurt-ChristianKimball, Bruce A.Köhler, Ann-KristinLiu, BingO'Leary, Garry J.Olesen, J.E.Ottman, Michael J.Priesack, EckartReynolds, Matthew P.Stratonovitch, PierreStreck, ThiloThorburn, Peter J.Waha, KatharinaWall, Gerard W.White, Jeffrey W.Zhao, ZhiganZhu, Yan[Crop model improvement reduces the uncertainty of the response totemperature of multi-model ensembles]Crop model improvement reduces the uncertainty of the response totemperature of multi-model ensembles
Ruane, Alex C.Hudson, Nicholas I.Asseng, SentholdCamarrano, DavideEwert, FrankMartre, PierreBoote, Kenneth J.Thorburn, Peter J.Aggarwal, Pramod K.Angulo, CarlosBasso, BrunoBertuzzi, PatrickBiernath, ChristianBrisson, NadineChallinor, Andrew J.Doltra, JordiGayler, SebastianGoldberg, Richard A.Grant, Robert F.Heng, LeeHooker, JoshHunt, Leslie A.Ingwersen, JoachimIzaurralde, Roberto CésarKersebaum, Kurt-ChristianKumar, Soora NareshMüller, ChristophNendel, ClaasO'Leary, Garry J.Olesen, J.E.Osborne, Tom M.Palosuo, TaruPriesack, EckartRipoche, DominiqueRotter, Reimund P.Semenov, Mikhail A.Shcherbak, IuriiSteduto, PasqualeStöckle, Claudio O.Stratonovitch, PierreStreck, ThiloSupit, IwanTao, FuluTravasso, MariaWaha, KatharinaWallach, DanielWhite, Jeffrey W.Wolf, Joost[Multi-wheat-model ensemble responses to interannual climate variability]Multi-wheat-model ensemble responses to interannual climate variability

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