SlideShare ist ein Scribd-Unternehmen logo
1 von 9
Determination of Environment Groups
 and TPE Characterization (Zoom-in)


               Bryan Alexandre (EMBRAPA)




Developing Climate-Smart Crops for a 2030 World Workshop
               ILRI, Addis Ababa, Ethiopia
                   6-8 December 2011
UPLAND RICE PRODUCTION AREA
• Approach “Survey”: Historical Upland Rice Yield
  Data from 1976 to 2006 (free)
YIELD DETREND
Historical Yield = interaction (climate variability x technological advances)
100
                               80
Probability of Exceeding (%)

                               60
                               40
                               20




                                           LFE
                                           FE
                                           HFE
                               0




                                     500    1000   1500      2000       2500        3000   3500   4000
                                                                               -1
                                                          Adjusted Yield (kg ha )
Checking Environment Groups with MTEs




                   Enviroments for the Mult Trial Experiments
                  HFE                   FE                       LFE
   Uncertainty
                 150235               436484                    656363
     index
Environment Group Characterization
• Enviroment Group → Target Population Enviroment;
  – Define the main constraints for increasing yield;
     • HOW???
        – Participatory Breeding;
        – Work Researcher Time Meetings;
        – Mult Trial Experiments (MTEs) and other technics.
     • Example: Main Constraints – DROUGTH
        – Application of crop model (RICE – ECOTROP, CIRAD) for TPE
          characterization (water stress index)
PROFILE STRESS FOR THE TPE
                              UPLAND RICE SHORT CULTIVAR
                                               Days After Emergence

                      24    31    38          45        52         59        67        73          80
                1.0
                0.9
                0.8
Estress Level

                0.7
                0.6




                                             stress L – no soil amendment
                                             stress M – no soil amendment
                                             stress T – no soil amendment
                                             stress L – soil amendment
                0.5




                                             stress M – soil amendment
                                             stress T – oil amendment


                                        Reproductive                               Grain Filling Phase
                0.4




                      400   500   600        700        800       900       1000      1100       1200

                                               Degree Days ( C.Day)
TPE x Site (Planting Date)
                           L                 M                T

                    cnpaf-dec-31
No Soil Amendment


                    cnpaf-dec-15
                    cnpaf-dec-01
                    cnpaf-nov-15
                    cnpaf-nov-01
                     TPE-dec-31
                     TPE-dec-15
                     TPE-dec-01
                     TPE-nov-15
                     TPE-nov-01
                     TPE-dec-31
                     TPE-dec-15
  Soil Amendment




                     TPE-dec-01
                     TPE-nov-15
                     TPE-nov-01
                    cnpaf-dec-31
                    cnpaf-dec-15
                    cnpaf-dec-01
                    cnpaf-nov-15
                    cnpaf-nov-01
                                   0   10 20 30 40 50 60 70 80 90 100
                                           Frequency of Stress (%)
TPE x Interannual and Site Variation
                                          Soil Amendment Scenario
                       TPE                            Site 1                            Site 2
              T    M                L       T     M                     L   T   M                 L
       1999
       2000
Year
       2001
       2002
       2003




                   Stress Frequence (%)          Stress Frequence (%)               Stress Frequence (%)

Weitere ähnliche Inhalte

Ähnlich wie Determination of environment groups and TPE characterization (Zoom-in)

Ähnlich wie Determination of environment groups and TPE characterization (Zoom-in) (7)

Water resources and biofuels water quality april 2012
Water resources and biofuels water quality   april 2012Water resources and biofuels water quality   april 2012
Water resources and biofuels water quality april 2012
 
Energy as Motor of Seawater Reverse Osmosis Desalination Development
Energy as Motor of Seawater Reverse Osmosis Desalination DevelopmentEnergy as Motor of Seawater Reverse Osmosis Desalination Development
Energy as Motor of Seawater Reverse Osmosis Desalination Development
 
Vanessa Haverd_Multiple observation types reduce uncertainty in Australia's t...
Vanessa Haverd_Multiple observation types reduce uncertainty in Australia's t...Vanessa Haverd_Multiple observation types reduce uncertainty in Australia's t...
Vanessa Haverd_Multiple observation types reduce uncertainty in Australia's t...
 
Controlled traffic/permanent bed farming reduces GHG emissions. Jeff Tullberg
Controlled traffic/permanent bed farming reduces GHG emissions. Jeff TullbergControlled traffic/permanent bed farming reduces GHG emissions. Jeff Tullberg
Controlled traffic/permanent bed farming reduces GHG emissions. Jeff Tullberg
 
Measuring berthing data
Measuring berthing dataMeasuring berthing data
Measuring berthing data
 
Girassol field experience (OLGA UGM Paris, 2008)
Girassol field experience (OLGA UGM Paris, 2008)Girassol field experience (OLGA UGM Paris, 2008)
Girassol field experience (OLGA UGM Paris, 2008)
 
Bhrg 2008 girassol_flow_instabilities
Bhrg 2008 girassol_flow_instabilitiesBhrg 2008 girassol_flow_instabilities
Bhrg 2008 girassol_flow_instabilities
 

Mehr von CCAFS | CGIAR Research Program on Climate Change, Agriculture and Food Security

Mehr von CCAFS | CGIAR Research Program on Climate Change, Agriculture and Food Security (20)

CGIAR-AICCRA Knowledge Management Guide (2021)
CGIAR-AICCRA Knowledge Management Guide (2021)CGIAR-AICCRA Knowledge Management Guide (2021)
CGIAR-AICCRA Knowledge Management Guide (2021)
 
Achieving NDC Ambition in Agriculture: How much does agriculture contribute t...
Achieving NDC Ambition in Agriculture: How much does agriculture contribute t...Achieving NDC Ambition in Agriculture: How much does agriculture contribute t...
Achieving NDC Ambition in Agriculture: How much does agriculture contribute t...
 
Achieving NDC Ambition in Agriculture: Mitigation ambition in new & updated N...
Achieving NDC Ambition in Agriculture: Mitigation ambition in new & updated N...Achieving NDC Ambition in Agriculture: Mitigation ambition in new & updated N...
Achieving NDC Ambition in Agriculture: Mitigation ambition in new & updated N...
 
Achieving NDC Ambition in Agriculture: Overview of NDC ambition in the agricu...
Achieving NDC Ambition in Agriculture: Overview of NDC ambition in the agricu...Achieving NDC Ambition in Agriculture: Overview of NDC ambition in the agricu...
Achieving NDC Ambition in Agriculture: Overview of NDC ambition in the agricu...
 
CCAFS and GRA Resources for CLIFF-GRADS 2021
CCAFS and GRA Resources for CLIFF-GRADS 2021CCAFS and GRA Resources for CLIFF-GRADS 2021
CCAFS and GRA Resources for CLIFF-GRADS 2021
 
CSA Monitoring: Understanding adoption, synergies and tradeoffs at farm and h...
CSA Monitoring: Understanding adoption, synergies and tradeoffs at farm and h...CSA Monitoring: Understanding adoption, synergies and tradeoffs at farm and h...
CSA Monitoring: Understanding adoption, synergies and tradeoffs at farm and h...
 
Livestock and sustainability in changing climate: Impacts and global best pra...
Livestock and sustainability in changing climate: Impacts and global best pra...Livestock and sustainability in changing climate: Impacts and global best pra...
Livestock and sustainability in changing climate: Impacts and global best pra...
 
Plant-based protein market in Asia
Plant-based protein market in AsiaPlant-based protein market in Asia
Plant-based protein market in Asia
 
ADB ESLAP case study outputs and synthesis results: Sustainable livestock gui...
ADB ESLAP case study outputs and synthesis results: Sustainable livestock gui...ADB ESLAP case study outputs and synthesis results: Sustainable livestock gui...
ADB ESLAP case study outputs and synthesis results: Sustainable livestock gui...
 
ADB ESLAP Case Study "Dairy value chain in Indonesia"
ADB ESLAP Case Study "Dairy value chain in Indonesia"ADB ESLAP Case Study "Dairy value chain in Indonesia"
ADB ESLAP Case Study "Dairy value chain in Indonesia"
 
Assessment of the environmental sustainability of plant-based meat and pork: ...
Assessment of the environmental sustainability of plant-based meat and pork: ...Assessment of the environmental sustainability of plant-based meat and pork: ...
Assessment of the environmental sustainability of plant-based meat and pork: ...
 
Case study on dairy value chain in China
Case study on dairy value chain in ChinaCase study on dairy value chain in China
Case study on dairy value chain in China
 
Global sustainable livestock investment overview
Global sustainable livestock investment overviewGlobal sustainable livestock investment overview
Global sustainable livestock investment overview
 
The impact of mechanization in smallholder rice production in Nigeria
The impact of mechanization in smallholder rice production in NigeriaThe impact of mechanization in smallholder rice production in Nigeria
The impact of mechanization in smallholder rice production in Nigeria
 
Biodiversity in agriculture for people and planet
Biodiversity in agriculture for people and planetBiodiversity in agriculture for people and planet
Biodiversity in agriculture for people and planet
 
Greenhouse gas (GHG) emissions & priority action in climate mitigation in the...
Greenhouse gas (GHG) emissions & priority action in climate mitigation in the...Greenhouse gas (GHG) emissions & priority action in climate mitigation in the...
Greenhouse gas (GHG) emissions & priority action in climate mitigation in the...
 
Evaluation of Rwanda climate services for agriculture through a gender lens
Evaluation of Rwanda climate services for agriculture through a gender lensEvaluation of Rwanda climate services for agriculture through a gender lens
Evaluation of Rwanda climate services for agriculture through a gender lens
 
Introduction to Climate-Smart Agriculture: Busia County, Kenya
Introduction to Climate-Smart Agriculture: Busia County, KenyaIntroduction to Climate-Smart Agriculture: Busia County, Kenya
Introduction to Climate-Smart Agriculture: Busia County, Kenya
 
Delivering information for national low-emission development strategies: acti...
Delivering information for national low-emission development strategies: acti...Delivering information for national low-emission development strategies: acti...
Delivering information for national low-emission development strategies: acti...
 
Delivering information for national low-emission development strategies: acti...
Delivering information for national low-emission development strategies: acti...Delivering information for national low-emission development strategies: acti...
Delivering information for national low-emission development strategies: acti...
 

Kürzlich hochgeladen

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 

Kürzlich hochgeladen (20)

ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 

Determination of environment groups and TPE characterization (Zoom-in)

  • 1. Determination of Environment Groups and TPE Characterization (Zoom-in) Bryan Alexandre (EMBRAPA) Developing Climate-Smart Crops for a 2030 World Workshop ILRI, Addis Ababa, Ethiopia 6-8 December 2011
  • 2. UPLAND RICE PRODUCTION AREA • Approach “Survey”: Historical Upland Rice Yield Data from 1976 to 2006 (free)
  • 3. YIELD DETREND Historical Yield = interaction (climate variability x technological advances)
  • 4. 100 80 Probability of Exceeding (%) 60 40 20 LFE FE HFE 0 500 1000 1500 2000 2500 3000 3500 4000 -1 Adjusted Yield (kg ha )
  • 5. Checking Environment Groups with MTEs Enviroments for the Mult Trial Experiments HFE FE LFE Uncertainty 150235 436484 656363 index
  • 6. Environment Group Characterization • Enviroment Group → Target Population Enviroment; – Define the main constraints for increasing yield; • HOW??? – Participatory Breeding; – Work Researcher Time Meetings; – Mult Trial Experiments (MTEs) and other technics. • Example: Main Constraints – DROUGTH – Application of crop model (RICE – ECOTROP, CIRAD) for TPE characterization (water stress index)
  • 7. PROFILE STRESS FOR THE TPE UPLAND RICE SHORT CULTIVAR Days After Emergence 24 31 38 45 52 59 67 73 80 1.0 0.9 0.8 Estress Level 0.7 0.6 stress L – no soil amendment stress M – no soil amendment stress T – no soil amendment stress L – soil amendment 0.5 stress M – soil amendment stress T – oil amendment Reproductive Grain Filling Phase 0.4 400 500 600 700 800 900 1000 1100 1200 Degree Days ( C.Day)
  • 8. TPE x Site (Planting Date) L M T cnpaf-dec-31 No Soil Amendment cnpaf-dec-15 cnpaf-dec-01 cnpaf-nov-15 cnpaf-nov-01 TPE-dec-31 TPE-dec-15 TPE-dec-01 TPE-nov-15 TPE-nov-01 TPE-dec-31 TPE-dec-15 Soil Amendment TPE-dec-01 TPE-nov-15 TPE-nov-01 cnpaf-dec-31 cnpaf-dec-15 cnpaf-dec-01 cnpaf-nov-15 cnpaf-nov-01 0 10 20 30 40 50 60 70 80 90 100 Frequency of Stress (%)
  • 9. TPE x Interannual and Site Variation Soil Amendment Scenario TPE Site 1 Site 2 T M L T M L T M L 1999 2000 Year 2001 2002 2003 Stress Frequence (%) Stress Frequence (%) Stress Frequence (%)