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
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
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.