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Modeling Approach
Scenario source selection
   – Quality check: simulations with hindcasts vs historical climate
   – Present, 2030 pessimistic, 2030 optimistic?
   => Establishment of operational scenario database

Global study
   – Simple model (GLAM)
   – Spatialized gridded approach
   – No detail of varietal differences
   => Global mapping of crop response to CC

Zoom-ins: virtual experiments
   –   GxExM model (SAMARA, RIDEV, CROPGRO
)
   –   Model calibration for key varietal types
   –   Identification of trait (crop parameter) ranges
   –   Zooming in on TPEs for each crop (Total of 10-12?)
   –   Sensitivity analyses: trait variation vs environment
       Ideotype composition for adapted crops
Need 3 types of crop models
Consensus tools to translate environment scenarios
– Accurate impact prediction to guide policy
– Seasonal forecasting, robust standards for yield insurance
– Set rational long-term priorities in research
GxExM models to assist in technology generation
– TPE characterization
– Ideotype concepts for breeding strategies
– Extrapolation of technologies
Heuristic model application in phenotyping
– Intelligent phenotyping: Extract G from GxExMxN(oise)
– Extract « hidden traits » from simple plant observations
– Genotypic reaction norms (behavioural traits)
Crop               Type                 RIDEV   ORYZA   EcoMeristem   SAMARA
                    Rice               Flooded-irrigated
                                       Rainfed-lowland
Crop                Sorghum
                                       Upland
                                       Grain


model               Feature
                                       Bio-EtOH (FF)

                                       Trait

skills              Phenology          Photoperiodism
                                       Thermal response
                                       Microclimate resp.
                    Architecture       Phyllochron
                                       Organ size & Nb
Green = available                      Tillering
Orange = coming     Yield              GY
                                       GYC
                                       Stem sugar
                                       Biomass
                    Water stresses     Drought
                                       Water logging
                                       Submergence
                    Thermal stresses   Cold sterility
                                       Heat sterility
                                       Avoidance: TC
                                       Avoidance: TOF
                    Salinity           Salt tolerance
                    CO2 response       TE, Amax
                                       Canopy heating
                    Resource use       WUE
                                       NUE
                                       RUE
Environmental challenges (1)                     Irrigated rice cropping
                                                 calendars in the Sahel

Migration of agro-climatic zones                                    Saint-Louis

‱ Latitudinal & altitudinal migration
‱ Cropping calendars, crop phenology
    – Change in comparative advantage of                            Rosso

       crop/system
    – Change in comparative advantage of
       different land uses
    – Change in pressure on agro-ecologies and                      Matam
       natural resource base
    => Trust in adaptation capacity of markets
       and stake holders
    => Anticipate, inform, assist                                  Tillaberi

       Let policies ease the transition


   Sorghum varietal
   Zoning for W Africa
15
    High yielding,
    dwarf, early,
    sweet type
2   Plant Height 2.0 m     LAI
                                                            Virtual varieties (sorghum):
                                                 10
                                                            Impact of trait modification
                                     Tillers

1     Ic                                         5
                                           GY


                                        Sugars
                                                     7 2 traits changed:
                                                         plant height &
0                                                06      photoperiodism
                                                                                           20
                         90d                             increased
                                                     5   (4.8 m, + 40 d)
                                                                                           15
    Effect of tallness + lateness                    4
    ‱ Biomass + 44%                                  3                                     10
    ‱ Grain yield – 45%
    ‱ more tillers, more mortality                   2
    ‱ LAI 3 => 7
                                                                                           5
    ‱ Sugar reserves much smaller                    1

                                                     0                                     0
                                                                           130d
SAMARA: Short phyllochron improves vigor but not GY                         50
                                                                            60
                                       50                                   70
                          Culms/hill
                                       60

                                       70
                                                                          GY
                                                                           70
                                                                           60
                                                                 50        50
                                                                 60
                                                             LAI 70



            S                               PI                 F      M
                                                 Internode
 SAHEL108 in WS 2010 at AfricaRice,              NSC
 Senegal (source limited situation)                  70
 Phyllochron 50 °Cd: fast-DR
 Phyllochron 60 °Cd: ‘normal’                        60
 Phyllochron 70 °Cd: slow-DR                         50
Merci

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Crop modelling approach

  • 1. Modeling Approach Scenario source selection – Quality check: simulations with hindcasts vs historical climate – Present, 2030 pessimistic, 2030 optimistic? => Establishment of operational scenario database Global study – Simple model (GLAM) – Spatialized gridded approach – No detail of varietal differences => Global mapping of crop response to CC Zoom-ins: virtual experiments – GxExM model (SAMARA, RIDEV, CROPGRO
) – Model calibration for key varietal types – Identification of trait (crop parameter) ranges – Zooming in on TPEs for each crop (Total of 10-12?) – Sensitivity analyses: trait variation vs environment Ideotype composition for adapted crops
  • 2. Need 3 types of crop models Consensus tools to translate environment scenarios – Accurate impact prediction to guide policy – Seasonal forecasting, robust standards for yield insurance – Set rational long-term priorities in research GxExM models to assist in technology generation – TPE characterization – Ideotype concepts for breeding strategies – Extrapolation of technologies Heuristic model application in phenotyping – Intelligent phenotyping: Extract G from GxExMxN(oise) – Extract « hidden traits » from simple plant observations – Genotypic reaction norms (behavioural traits)
  • 3. Crop Type RIDEV ORYZA EcoMeristem SAMARA Rice Flooded-irrigated Rainfed-lowland Crop Sorghum Upland Grain model Feature Bio-EtOH (FF) Trait skills Phenology Photoperiodism Thermal response Microclimate resp. Architecture Phyllochron Organ size & Nb Green = available Tillering Orange = coming Yield GY GYC Stem sugar Biomass Water stresses Drought Water logging Submergence Thermal stresses Cold sterility Heat sterility Avoidance: TC Avoidance: TOF Salinity Salt tolerance CO2 response TE, Amax Canopy heating Resource use WUE NUE RUE
  • 4. Environmental challenges (1) Irrigated rice cropping calendars in the Sahel Migration of agro-climatic zones Saint-Louis ‱ Latitudinal & altitudinal migration ‱ Cropping calendars, crop phenology – Change in comparative advantage of Rosso crop/system – Change in comparative advantage of different land uses – Change in pressure on agro-ecologies and Matam natural resource base => Trust in adaptation capacity of markets and stake holders => Anticipate, inform, assist Tillaberi Let policies ease the transition Sorghum varietal Zoning for W Africa
  • 5. 15 High yielding, dwarf, early, sweet type 2 Plant Height 2.0 m LAI Virtual varieties (sorghum): 10 Impact of trait modification Tillers 1 Ic 5 GY Sugars 7 2 traits changed: plant height & 0 06 photoperiodism 20 90d increased 5 (4.8 m, + 40 d) 15 Effect of tallness + lateness 4 ‱ Biomass + 44% 3 10 ‱ Grain yield – 45% ‱ more tillers, more mortality 2 ‱ LAI 3 => 7 5 ‱ Sugar reserves much smaller 1 0 0 130d
  • 6. SAMARA: Short phyllochron improves vigor but not GY 50 60 50 70 Culms/hill 60 70 GY 70 60 50 50 60 LAI 70 S PI F M Internode SAHEL108 in WS 2010 at AfricaRice, NSC Senegal (source limited situation) 70 Phyllochron 50 °Cd: fast-DR Phyllochron 60 °Cd: ‘normal’ 60 Phyllochron 70 °Cd: slow-DR 50