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Hoogenboom, GerritJones, James W.White, Jeffrey W.Boote, Kenneth J.[Development of a Phaseolus crop simulation model]Development of a Phaseolus crop simulation model
Hoogenboom, GerritWhite, Jeffrey W.Jones, James W.Boote, Kenneth J.[A new and improved dry bean simulation model: CROPGRO-dry bean]A new and improved dry bean simulation model: CROPGRO-dry bean

To select a plant genotype that will thrive in targeted environments it is critical to understand the genotype by environment interaction (GEI). In this study, multi-environment QTL analysis was used to characterize node addition rate (NAR, node day− 1) on the main stem of the common bean (Phaseo...


Zhang, LiGezan, Salvador A.Vallejos, C. EduardoJones, James W.Boote, Kenneth J.Clavijo Michelangeli, Jose A.Bhakta, Mehul S.Osorno, Juan M.Rao, Idupulapati M.Beebe, Stephen E.Roman Paoli, Elvin O.González, AbiezerBeaver, James S.Ricaurte Oyola, José JaumerColbert, RaphaelCorrell, Melanie J.[Development of a QTL-environment-based predictive model for node addition rate in common bean]Development of a QTL-environment-based predictive model for node addition rate in common bean

The common bean is a tropical facultative short day legume that is now grown in tropical and temperate zones. This observation underscores how domestication and modern breeding can change the adaptive phenology of a species. A key adaptive trait is the optimal timing of the transition from the ve...


Bhakta, Mehul S.Gezan, Salvador A.Clavijo Michelangeli, Jose A.Carvalho, MelissaZhang, LiJones, James W.Boote, Kenneth J.Correll, Melanie J.Beaver, James S.Osorno, Juan M.Colbert, RaphaelRao, Idupulapati M.Beebe, Stephen E.González, AbiezerRicaurte Oyola, José JaumerVallejos, C. Eduardo[A Predictive Model for Time-to-Flowering in the Common Bean Based on QTL and Environmental Variables]A Predictive Model for Time-to-Flowering in the Common Bean Based on QTL and Environmental Variables
Fleisher, D.H.Condori, B.Quiróz, R.Alva, A.Asseng, SentholdBarreda, CarolinaBindi, M.Boote, Kenneth J.Ferrise, R.Franke, A.C.Govindakrishnan, P.M.Harahagazwe, D.Hogenboom, G.Naresh Kumar, S.Merante, P.Nendel, C.Olesen, J.E.Parker, P.S.Raees, D.Raymundo, R.Ruane, Alex C.Stockle, C.Supit, I.Vanuytrecht, ElineWolf, JoostWoli, P.[A potato model inter-comparison across varyng climates and productivity levels]A potato model inter-comparison across varyng climates and productivity levels

Purpose: The purpose of this study is to examine the biophysical and socioeconomic impacts of climate change on maize production and food security in sub-Saharan Africa (SSA) using adapted improved maize varieties and well-calibrated and validated bioeconomic models. Design/methodology/approach: ...


Tesfaye Fantaye, KindieGbegbelegbe, SikaCairns, Jill E.Shiferaw, BekelePrasanna, BoddupalliSonder, KaiBoote, Kenneth J.Makumbi, DanRobertson, Richard D.[Maize systems under climate change in sub-Saharan Africa: Potential impacts on production and food security]Maize systems under climate change in sub-Saharan Africa: Potential impacts on production and food security
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

Ecophysiological models are increasingly used as research and decision support tools in agriculture, but it is often difficult to assess how suitable a model is for a particular application. Model evaluations usually involve bivariate linear regression between observed and simulated values, which...


White, Jeffrey W.Boote, Kenneth J.Hoogenboom, GerritJones, Peter G.[Regression-based evaluation of ecophysiological models]Regression-based evaluation of ecophysiological models
Cammarano, DavideRötter, Reimund P.Asseng, SentholdEwert, FrankWallach, DanielMartre, PierreHatfield, Jerry L.Jones, James W.Rosenzweig, CynthiaRuane, Alex C.Boote, Kenneth J.Thorburn, Peter J.Kersebaum, Kurt-ChristianAggarwal, Pramod K.Angulo, CarlosBasso, BrunoBertuzzi, PatrickBiernath, ChristianBrisson, NadineChallinor, Andrew J.Doltra, JordiGayler, SebastianGoldberg, RichieHeng, LeeHooker, JoshHunt, Leslie A.Ingwersen, JoachimIzaurralde, Roberto CésarMüller, ChristophKumar, Soora NareshNendel, ClaasO'Leary, Garry J.Olesen, J.E.Osborne, Tom M.Palosuo, TaruPriesack, EckartRipoche, DominiqueSemenov, Mikhail A.Shcherbak, IuriiSteduto, PasqualeStöckle, Claudio O.Stratonovitch, PierreStreck, ThiloSupit, IwanTao, FuluTravasso, MariaWaha, KatharinaWhite, Jeffrey W.Wolf, Joost[Uncertainty of wheat water use: Simulated patterns and sensitivity totemperature and CO2]Uncertainty of wheat water use: Simulated patterns and sensitivity totemperature and CO2

Maintaining high levels of productivity under climate change will require developing cultivars that are able to perform under varying drought and heat stresses and with maturities that match water availability. The CSM-CERES-Sorghum model was used to quantify the potential benefits of altering cr...


Singh, P.Nedumaran, S.Sibiry Traoré, Pierre C.Boote, Kenneth J.Rattunde HFWPrasad, PVVSingh, Naveen P.Srinivas KBantilan, MCS[Quantifying potential benefits of drought and heat tolerance in rainy season sorghum for adapting to climate change]Quantifying potential benefits of drought and heat tolerance in rainy season sorghum for adapting to climate change

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