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Dedication: Sam Kilonso (1964-2012)




 A man who welcomed everyone with a huge smile
 and a warm heart. Someone who made a huge
 contribution to rust surveillance work in Kenya.
Tracking the wheat rust
                     pathogens
 D. P. Hodson, J. Grønbech-Hansen, P. Lassen, Y.
   Alemayehu, J. Arista, K. Sonder, P. Kosina, P.
Moncada, K. Nazari, R. F. Park, Z. A. Pretorius, L. J.
            Szabo, T. Fetch and Y. Jin
Outline
Global Rust Monitoring: The
Catalyst – “Ug99”
 Isolate Ug99 – race
  TTKSK
 Unique virulence. Large
  % of commercial
  cultivars susceptible
 Realization that we need
  a global system to
  detect and monitor
  new, virulent races of
  wheat rusts
What is Ug99?
 Not a single entity
 “Ug99 Race group”
 8 known members
 'the group of Pgt races sharing almost identical
  molecular fingerprints to the original Ug99 isolate
  (race TTKSK). Most races in the group have
  virulence to Sr31, but Sr31-avirulent
  progenitors/relatives are also included'.
The Surveillance Network
   Data poor to an increasingly data rich environment
   2007 countries n = 2; 2012 countries n = 27
   Contributing surveys cover about 20% of global
    wheat area




2005                              2012

       An outstanding example of global collaboration
Status: Pathogen Monitoring
 1999: race TTKSK
  “Ug99” identified
 2012: 8 members of
  the Ug99 race group
  – we know what they
  are and where they
  are!
 Spread throughout
  Africa and into Asia.
  Further spread very     Ug99 race group is now in 11 countries
  likely
Changing Pathogen Populations
2009/2010 Data
Race TTKSK
 (original “Ug99”
 [red]) only
 predominates in
 Ethiopia
Other Ug99 race
 group races
 predominate e.g.,
 Sr24 variants
Keeping track of “lots” of data
Data management system
 – The Wheat Rust
 Toolbox (also South Asia
 Toolbox) – collaboration
 with GRRC and Sathguru
Surveys: 27 countries,
 9000+ records
Pathotypes: 21 countries,
 1075 isolates
Data Management: Wheat Rust Toolbox
NB: Generic - Applicable to all rusts                                       Outputs:
                                                                            • Survey Mapping
         On-line Data Entry
                                                                            • Pathotypes, +...




Smartphone
survey tool
                       Quality
                    control/publish

   User                                                               Data Export
Management                                                            / Exchange




                                                                           External Applications
                            Crop Problem Dbase                             e.g., RustMapper
                   (survey, pathotypes, [Trap nursery, Molecular] )
Registered User content –
Toolbox Adding value
On-line data entry (or
 smartphone / tablet app)
Quality control
Automatic, rich content,
 country-specific
 graphical display out
 (tables, graphs, maps)
Public Information Systems:
WWW Rust Tracker.org
                              Aim:
                                Single source of up-to-date
                                 information for all global
                                 wheat rust monitoring
                                 activities

                              Content:
                                Country-specific info: 38
                                 countries
                                Dynamic tools – Wheat Rust
                                 Toolbox driven
 www.rusttracker.cimmyt.org
Rust Tracker.org / Toolbox –
Platform for all rusts
All examples show Yellow Rust
Increased focus on other rusts
Integrated Information Resources
Rust Tracker     Wheat Atlas        WheatRust.org       GlobalRust.org




                                                          Screening
                                                        Nursery Dbase
                                       CIMMYT
   Survey      Barberry
                                    Cultivars Dbase
   Dbase        Dbase
                     Trap Nursery                        Contacts Dbase
   Pathotype            Dbase
    Dbase      Molecular            Wheatpedigree.net
                Dbase                Cultivars Dbase
New activities
 Epidemiological modelling + early warning
  (Cambridge Uni. / Rothamsted)
 Expanded focus on other rusts
 More integrated tools and data sets (Molecular data,
  trap nursery, Barberry surveys, Screening
  nursery……)
 SMS networks – extension / farmer early warning
  systems (FAO)
Summary
 Now have a fully operational global disease monitoring system.
 Surveillance and monitoring network, covering 35 countries and a
  large proportion of the developing world wheat area
 Tracked the spread and status of important stem rust races
  e.g., “Ug99 race group".
 A robust and functional data management system - the Wheat Rust
  Toolbox - is now in place.
 Global collaboration is ensuring that key databases are shared and
  being integrated into different information platforms.
Acknowledgments
 All contributing national partners
                                        Donors:
 PBI, University of Sydney
                                         Bill & Melinda Gates
 ICARDA                                  Foundation
 CIMMYT
                                         DFID
 AAFC, Canada
                                         USAID
 CDL, Minnesota, USA
                                         IFAD
 University of the Free State, South
  Africa
 GRRC, Aarhus University,
  Denmark
 BGRI / Cornell University

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Tracking the wheat rust pathogens

  • 1. Dedication: Sam Kilonso (1964-2012) A man who welcomed everyone with a huge smile and a warm heart. Someone who made a huge contribution to rust surveillance work in Kenya.
  • 2. Tracking the wheat rust pathogens D. P. Hodson, J. Grønbech-Hansen, P. Lassen, Y. Alemayehu, J. Arista, K. Sonder, P. Kosina, P. Moncada, K. Nazari, R. F. Park, Z. A. Pretorius, L. J. Szabo, T. Fetch and Y. Jin
  • 4. Global Rust Monitoring: The Catalyst – “Ug99”  Isolate Ug99 – race TTKSK  Unique virulence. Large % of commercial cultivars susceptible  Realization that we need a global system to detect and monitor new, virulent races of wheat rusts
  • 5. What is Ug99?  Not a single entity  “Ug99 Race group”  8 known members  'the group of Pgt races sharing almost identical molecular fingerprints to the original Ug99 isolate (race TTKSK). Most races in the group have virulence to Sr31, but Sr31-avirulent progenitors/relatives are also included'.
  • 6. The Surveillance Network  Data poor to an increasingly data rich environment  2007 countries n = 2; 2012 countries n = 27  Contributing surveys cover about 20% of global wheat area 2005 2012 An outstanding example of global collaboration
  • 7. Status: Pathogen Monitoring  1999: race TTKSK “Ug99” identified  2012: 8 members of the Ug99 race group – we know what they are and where they are!  Spread throughout Africa and into Asia. Further spread very Ug99 race group is now in 11 countries likely
  • 8. Changing Pathogen Populations 2009/2010 Data Race TTKSK (original “Ug99” [red]) only predominates in Ethiopia Other Ug99 race group races predominate e.g., Sr24 variants
  • 9. Keeping track of “lots” of data Data management system – The Wheat Rust Toolbox (also South Asia Toolbox) – collaboration with GRRC and Sathguru Surveys: 27 countries, 9000+ records Pathotypes: 21 countries, 1075 isolates
  • 10. Data Management: Wheat Rust Toolbox NB: Generic - Applicable to all rusts Outputs: • Survey Mapping On-line Data Entry • Pathotypes, +... Smartphone survey tool Quality control/publish User Data Export Management / Exchange External Applications Crop Problem Dbase e.g., RustMapper (survey, pathotypes, [Trap nursery, Molecular] )
  • 11. Registered User content – Toolbox Adding value On-line data entry (or smartphone / tablet app) Quality control Automatic, rich content, country-specific graphical display out (tables, graphs, maps)
  • 12. Public Information Systems: WWW Rust Tracker.org Aim:  Single source of up-to-date information for all global wheat rust monitoring activities Content:  Country-specific info: 38 countries  Dynamic tools – Wheat Rust Toolbox driven www.rusttracker.cimmyt.org
  • 13. Rust Tracker.org / Toolbox – Platform for all rusts All examples show Yellow Rust Increased focus on other rusts
  • 14. Integrated Information Resources Rust Tracker Wheat Atlas WheatRust.org GlobalRust.org Screening Nursery Dbase CIMMYT Survey Barberry Cultivars Dbase Dbase Dbase Trap Nursery Contacts Dbase Pathotype Dbase Dbase Molecular Wheatpedigree.net Dbase Cultivars Dbase
  • 15. New activities  Epidemiological modelling + early warning (Cambridge Uni. / Rothamsted)  Expanded focus on other rusts  More integrated tools and data sets (Molecular data, trap nursery, Barberry surveys, Screening nursery……)  SMS networks – extension / farmer early warning systems (FAO)
  • 16. Summary  Now have a fully operational global disease monitoring system.  Surveillance and monitoring network, covering 35 countries and a large proportion of the developing world wheat area  Tracked the spread and status of important stem rust races e.g., “Ug99 race group".  A robust and functional data management system - the Wheat Rust Toolbox - is now in place.  Global collaboration is ensuring that key databases are shared and being integrated into different information platforms.
  • 17. Acknowledgments  All contributing national partners Donors:  PBI, University of Sydney  Bill & Melinda Gates  ICARDA Foundation  CIMMYT  DFID  AAFC, Canada  USAID  CDL, Minnesota, USA  IFAD  University of the Free State, South Africa  GRRC, Aarhus University, Denmark  BGRI / Cornell University

Notes de l'éditeur

  1. Data management system developed by Aarhus University, Denmark in collaboration with BGRI / FAOSits on top of a centralized Crop Problem Dbase – currently holds survey and pathotype data but will be expanded to include trap nursery and molecular diagnostic data. Flexible dbase capable of holding all 3 rust diseases – expansion in progress to incorporate yellow rust data.Toolbox permits: user management (different access / permission levels); on-line data entry; data quality control and publishingOutputs: Series of data-base driven graphical tools. Currently: survey mapping, pathotype frequencies and distributions over time. Additional tools planned for the future. All outputs as iframes so seemelessly embedded in external websites eg Rust SPORE at FAO.Standard data export / exchange permitting direct connection to external applications eg RustMapper at CIMMYT.