funder_partner: PlantVillage

Scientists convene in Kenya for intensive wheat disease training

Written by Julian Bañuelos-Uribe on November 7, 2023. Posted in News.

An international cohort of scientists representing 12 countries gathered at the Kenya Agricultural and Livestock Research Organization (KALRO) station in Njoro for a comprehensive training course aimed at honing their expertise in wheat rust pathology.

The two-week program “Enhancing Wheat Disease Early Warning Systems, Germplasm Evaluation, Selection, and Tools for Improving Wheat Breeding Pipelines,” was a collaborative effort between CIMMYT and Cornell University and supported by the Wheat Disease Early Warning Advisory System (DEWAS) and Accelerating Genetic Gains in Maize and Wheat projects.

With a mission to bolster the capabilities of National Agricultural Research Systems (NARS), the training course attracted more than 30 participants from diverse corners of the globe.

Maricelis Acevedo, a research professor of global development at Cornell and the associate director of Wheat DEWAS, underscored the initiative’s significance. “This is all about training a new generation of scientists to be at the forefront of efforts to prevent wheat pathogens epidemics and increase food security all over the globe,” Acevedo said.

First initiated in 2008 through the Borlaug Global Rust Initiative, these training programs in Kenya have played a vital role in equipping scientists worldwide with the most up-to-date knowledge on rust pathogens. The initial twelve training sessions received support from the BGRI under the auspices of the Durable Rust Resistance in Wheat and Delivering Genetic Gain in Wheat projects.

This year’s training aims to prepare global scientists to protect against disease outbreaks that threaten wheat productivity in East Africa and South Asia. The course encompassed a wide array of practical exercises and theoretical sessions designed to enhance the participants’ knowledge in pathogen surveillance, diagnostics, modeling, data management, early warning assessments, and open science publishing. Presentations were made by DEWAS partners from the John Innes Centre, Aarhus University, the University of Cambridge and University of Minnesota.

The course provided practical, hands-on experience in selecting and evaluating wheat breeding germplasm, race analysis and greenhouse screening experiments to enhance knowledge of rust diseases, according to Sridhar Bhavani, training coordinator for the course.

“This comprehensive training program encompasses diverse aspects of wheat research, including disease monitoring, data management, epidemiological models, and rapid diagnostics to establish a scalable and sustainable early warning system for critical wheat diseases such as rusts, fusarium, and wheat blast,” said Bhavani, wheat improvement lead for East Africa at CIMMYT and head of wheat rust pathology and molecular genetic in CIMMYT’s Global Wheat program.

An integral part of the program, Acevedo said, was the hands-on training on wheat pathogen survey and sample collection at KALRO. The scientists utilized the international wheat screening facility at KALRO as a training ground for hot-spot screening for rust diseases resistance.

Daisy Kwamboka, an associate researcher at PlantVillage in Kenya, said the program provided younger scientists with essential knowledge and mentoring.

“I found the practical sessions particularly fascinating, and I can now confidently perform inoculations and rust scoring on my own,” said Kwamboka said, who added that she also learned how to organize experimental designs and the basics of R language for data analysis.

DEWAS research leaders Dave Hodson, Bhavani and Acevedo conducted workshops and presentations along with leading wheat rust experts. Presenters included Robert Park and Davinder Singh from the University of Sydney; Diane Sauders from the John Innes Centre; Clay Sneller from Ohio State University; Pablo Olivera from the University of Minnesota; Cyrus Kimani, Zennah Kosgey and Godwin Macharia from KALRO; Leo Crespo, Susanne Dreisigacker, Keith Gardner, Velu Govindan, Itria Ibba, Arun Joshi, Naeela Qureshi, Pawan Kumar Singh and Paolo Vitale from CIMMYT; Chris Gilligan and Jake Smith from the University of Cambridge; and Jens Grønbech Hansen and Mogens S. Hovmøller from the Global Rust Reference Center at Aarhus University.

“I thoroughly enjoyed the knowledge imparted by the invited experts, along with the incredible care they have shown us throughout this wonderful training.”

Narain Dhar, Borlaug Institute for South Asia

For participants, the course offered a crucial platform for international collaboration, a strong commitment to knowledge sharing, and its significant contribution to global food security.

“The dedication of the trainers truly brought the training to life, making it incredibly understandable,” said Narain Dhar, research fellow at the Borlaug Institute for South Asia.

The event not only facilitated learning but also fostered connections among scientists from different parts of the world. These newfound connections hold the promise of sparking innovative collaborations and research endeavors that could further advance the field of wheat pathology.

Wheat pathogen surveillance system set to expand through new investment

Written by Julian Bañuelos-Uribe on October 18, 2023. Posted in Press releases.

One of the world’s largest crop pathogen surveillance systems is set to expand its analytic and knowledge systems capacity to protect wheat productivity in food vulnerable areas of East Africa and South Asia.

Researchers announced the Wheat Disease Early Warning Advisory System (Wheat DEWAS), funded through a $7.3 million grant from the Bill & Melinda Gates Foundation and the United Kingdom’s Foreign, Commonwealth & Development Office, to enhance crop resilience to wheat diseases.

The project is led by David Hodson, principal scientist at CIMMYT, and Maricelis Acevedo, research professor of global development and plant pathology at Cornell University’s College of Agriculture and Life Sciences. This initiative brings together research expertise from 23 research and academic organizations from sub-Saharan Africa, South Asia, Europe, the United States and Mexico.

Wheat DEWAS aims to be an open and scalable system capable of tracking important pathogen strains. The system builds on existing capabilities developed by the research team to provide near-real-time model-based risk forecasts and resulting in accurate, timely and actionable advice to farmers. As plant pathogens continue to evolve and threaten global food production, the system strengthens the capacity of countries to respond in a proactive manner to transboundary wheat diseases.

The system focuses on the two major fungal pathogens of wheat known as rust and blast diseases. Rust diseases, named for a rust-like appearance on infected plants, are hyper-variable and can significantly reduce crop yields when they attack. The fungus releases trillions of spores that can ride wind currents across national borders and continents and spread devastating epidemics quickly over vast areas.

Wheat blast, caused by the fungus Magnaporte oryzae Tritici, is an increasing threat to wheat production, following detection in both Bangladesh and Zambia. The fungus spreads over short distances and through the planting of infected seeds. Grains of infected plants shrivel within a week of first symptoms, providing little time for farmers to take preventative actions. Most wheat grown in the world has limited resistance to wheat blast.

“New wheat pathogen variants are constantly evolving and are spreading rapidly on a global scale,” said Hodson, principal investigator for Wheat DEWAS. “Complete crop losses in some of the most food vulnerable areas of the world are possible under favorable epidemiological conditions. Vigilance coupled with pathogen-informed breeding strategies are essential to prevent wheat disease epidemics. Improved monitoring, early warning and advisory approaches are an important component for safeguarding food supplies.”

Previous long-term investments in rust pathogen surveillance, modelling, and diagnostics built one of the largest operational global surveillance and monitoring system for any crop disease. The research permitted the development of functioning prototypes of advanced early warning advisory systems (EWAS) in East Africa and South Asia. Wheat DEWAS seeks to improve on that foundation to build a scalable, integrated, and sustainable solution that can provide improved advanced timely warning of vulnerability to emerging and migrating wheat diseases.

“The impact of these diseases is greatest on small-scale producers, negatively affecting livelihoods, income, and food security,” Acevedo said. “Ultimately, with this project we aim to maximize opportunities for smallholder farmers to benefit from hyper-local analytic and knowledge systems to protect wheat productivity.”

The system has already proven successful, contributing to prevention of a potential rust outbreak in Ethiopia in 2021. At that time, the early warning and global monitoring detected a new yellow rust strain with high epidemic potential. Risk mapping and real-time early forecasting identified the risk and allowed a timely and effective response by farmers and officials. That growing season ended up being a production record-breaker for Ethiopian wheat farmers.

While wheat is the major focus of the system, pathogens with similar biology and dispersal modes exist for all major crops. Discoveries made in the wheat system could provide essential infrastructure, methods for data collection and analysis to aid interventions that will be relevant to other crops.

Wheat Disease Early Warning Advisory System (DEWAS)

Written by Sarah McLaughlin on March 10, 2023. Posted in Uncategorized.

The Wheat Disease Early Warning Advisory System (Wheat DEWAS) project is bringing new analytic and knowledge systems capacity to one of the world’s largest and most advanced crop pathogen surveillance systems. With Wheat DEWAS, researchers are building an open and scalable system capable of preventing disease outbreaks from novel pathogen strains that threaten wheat productivity in food vulnerable areas of East Africa and South Asia.

The system builds from capabilities developed previously by multi-institutional research teams funded through long-term investments in rust pathogen surveillance, modelling, and diagnostics. Once fully operationalized, the project aims to provide near-real-time, model-based risk forecasts for governments. The result: accurate, timely and actionable advice for farmers to respond proactively to migrating wheat diseases.

The Challenge

Farmers growing wheat face pathogen pressures from a range of sources. Two of the most damaging are the fungal diseases known as rust and blast. Rust is a chronic issue for farmers in all parts of the world. A study in 2015 estimated that the three rust diseases — stem, stripe and leaf — destroyed more than 15 million tons of wheat at a cost of nearly $3 billion worldwide. Wheat blast is an increasing threat to wheat production and has been detected in both Bangladesh and Zambia. Each of these diseases can destroy entire harvests without warning, wiping out critical income and food security for resource-poor farmers in vulnerable areas.

The Response

Weather forecasts and early-warning alerts are modern technologies that people rely on for actionable information in the case of severe weather. Now imagine a system that lets farmers know in advance when dangerous conditions will threaten their crop in the field. Wheat DEWAS aims to do just that through a scalable, integrated, and sustainable global surveillance and monitoring system for wheat.

Wheat DEWAS brings together research expertise from 23 research and academic organizations from sub-Saharan Africa, South Asia, Europe, the United States and Mexico.

Together, the researchers are focused on six interlinked work packages:

Work package	Lead	Objectives
Data Management	Aarhus University; Global Rust Reference Center	Maintain, strengthen and expand the functionality of the existing Wheat Rust Toolbox data management system Create new modules within the Toolbox to include wheat blast and relevant wheat host information Consolidate and integrate datasets from all the participating wheat rust diagnostic labs Develop an API for the two-way exchange of data between the Toolbox and the Delphi data stack Develop an API for direct access to quality-controlled surveillance data as inputs for forecast models Ensure fair access to data
Epidemiological Models	Cambridge University	Maintain operational deployment and extend geographical range Productionalize code for long-term sustainability Multiple input sources (expert, crowd, media) Continue model validation Ensure flexibility for management scenario testing Extend framework for wheat blast
Surveillance (host + pathogen)	CIMMYT	Undertake near-real-time, standardized surveys and sampling in the target regions Expand the coverage and frequency of field surveillance Implement fully electronic field surveillance that permits near real-time data gathering Target surveillance and diagnostic sampling to validate model predictions Map vulnerability of the host landscape
Diagnostics	John Innes Centre	Strengthen existing diagnostic network in target regions & track changes & movement Develop & integrate new diagnostic methodology for wheat rusts & blast Align national diagnostic results to provide a regional & global context Enhance national capacity for wheat rust & blast diagnostics
Information Dissemination and Visualization Tools	PlantVillage; Penn State	Create a suite of information layers and visualization products that are automatically derived from the quality-controlled data management system and delivered to end users in a timely manner Deliver near real time for national partners to develop reliable and actionable advisory and alert information to extension workers, farmers and policy makers
National Partner Capacity Building	Cornell University	Strengthening National partner capacity on pathogen surveillance, diagnostics, modeling, data management, early warning assessment, and open science publishing

Wheat DEWAS partners

Academic organizations: Aarhus University / Global Rust Reference Center; Bangabandhu Sheikh Mujibur Rahman Agricultural University; Cornell University / School of Integrative Plant Science, Plant Pathology & Plant-Microbe Biology Section; Hazara University; Penn State University / PlantVillage; University of Cambridge; University of Minnesota

Research organizations: Bangladesh Wheat and Maize Research Institute (BWMRI); CIMMYT; Department of Agricultural Extension (DAE), Bangladesh; Ethiopian Agricultural Transformation Institute (ATI); Ethiopian Institute of Agricultural Research (EIAR); ICARDA; John Innes Centre (JIC); Kenya Agricultural and Livestock Research Organization (KALRO); National Plant Protection Centre (NPPC), Bhutan; Nepal Agricultural Research Council (NARC); Pakistan Agricultural Research Council (PARC); UK Met Office; Tanzania Agricultural Research Institute (TARI); The Sainsbury Laboratory (TSL) / GetGenome; U.S. Department of Agriculture, Agricultural Research Service; Zambia Agricultural Research Institute (ZARI)

Rapid Point-of-Care Diagnostics for Wheat Rusts (MARPLE)

Written by Bea Ciordia on May 30, 2022. Posted in Uncategorized.

MARPLE (Mobile And Real-time PLant disEase) diagnostics is a new innovative approach for fungal crop pathogen diagnostics developed by Diane Saunders’s team at the John Innes Centre.

MARPLE is the first operational system in the world using nanopore sequencing for rapid diagnostics and surveillance of complex fungal pathogens in situ. Generating results in 48 hours of field sampling, this new digital diagnostic strategy is leading revolutionary changes in plant disease diagnostics. Rapid strain level diagnostics are essential to quickly find new emergent strains and guide appropriate control measures.

Through this project, CIMMYT will:

Deploy and scale MARPLE to priority geographies and diseases as part of the Current and Emerging Threats to Crops Innovation Lab led by Penn State University / PlantVillage and funded by USAID’s Feed the Future.
Build national partner capacity for advanced disease diagnostics. We will focus geographically on Ethiopia, Kenya and Nepal for deployment of wheat stripe and stem rust diagnostics, with possible expansion to Bangladesh and Zambia (wheat blast).
Integrate this new in-country diagnostic capacity with recently developed disease forecasting models and early warning systems. Already functional for wheat stripe rust, the project plans to expand MARPLE to incorporate wheat stem rust and wheat blast.