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Author: Leslie Domínguez

Smallholder farmers’ multi-front strategy combats rapidly evolving wheat rust in Ethiopia

 

Ethiopian wheat planting. (Photo: CIMMYT)

New research shows that smallholder farmers in Ethiopia used various coping mechanisms apart from fungicides in response to the recent wheat rust epidemics in the country. Scientists from the International Maize and Wheat Improvement Center (CIMMYT) and the Ethiopian Institute of Agricultural Research (EIAR) call for continuous support to research and extension programs to develop and disseminate improved wheat varieties with resistant traits to old and newly emerging rust races.

Rising wheat yields cannot catch up rising demand

Wheat is the fourth largest food crop in Ethiopia cultivated by smallholders, after teff, maize and sorghum. Ethiopia is the largest wheat producer in sub-Saharan Africa and average farm yields have more than doubled in the past two decades, reaching 2.74 tons per hectare on average in 2017/18. Farmers who use improved wheat varieties together with recommended agronomic practices recorded 4 to 6 tons per hectare in high-potential wheat growing areas such as the Arsi and Bale zones. Yet the country remains a net importer because demand for wheat is rapidly rising.

The Ethiopian government has targeted wheat self-sufficiency by 2023 and the country has huge production potential due to its various favorable agroecologies for wheat production.

However, one major challenge to boosting wheat production and yields is farmers’ vulnerability to rapidly evolving wheat diseases like wheat rusts.

The Ethiopian highlands have long been known as hot spots for stem and yellow wheat rusts caused by the fungus Puccinia spp., which can spread easily under favorable climatic conditions. Such threats may grow with a changing climate.

Recurrent outbreaks of the two rusts destroyed significant areas of popular wheat varieties. In 2010, a yellow rust epidemic severely affected the popular Kubsa variety. In 2013/14, farmers in the Arsi and Bale zones saw a new stem rust race destroy entire fields of the bread wheat Digalu variety.

In response to the 2010 yellow rust outbreak, the government and non-government organizations, seed enterprises and other development supporters increased the supply of yellow rust resistant varieties like Kakaba and Danda’a.

Fungicide is not the only solution for wheat smallholder farmers

Two household panel surveys during the 2009/10 main cropping season, before the yellow rust epidemic, and during the 2013/14 cropping season analyzed farmers’ exposure to wheat rusts and their coping mechanisms. From the survey, 44% of the wheat farming families reported yellow rust in their fields during the 2010/11 epidemic.

Household data analysis looked at the correlation between household characteristics, their coping strategies against wheat rust and farm yields. The study revealed there was a 29 to 41% yield advantage by increasing wheat area of the new, resistant varieties even under normal seasons with minimum rust occurrence in the field. Continuous varietal development in responding to emerging new rust races and supporting the deployment of newly released rust resistant varieties could help smallholders cope against the disease and maintain improved yields in the rust prone environments of Ethiopia.

The case study showed that apart from using fungicides, increasing wheat area under yellow rust resistant varieties, increasing diversity of wheat varieties grown, or a combination of these strategies were the main coping mechanisms farmers had taken to prevent new rust damages. Large-scale replacement of highly susceptible varieties by new rust resistant varieties was observed after the 2010/11 epidemic.

The most significant wheat grain yield increases were observed for farmers who increased both area under resistant varieties and number of wheat varieties grown per season.

The additional yield gain thanks to the large-scale adoption of yellow rust resistant varieties observed after the 2010/11 epidemic makes a very strong case to further strengthen wheat research and extension investments, so that more Ethiopian farmers have access to improved wheat varieties resistant to old and newly emerging rust races.

Read the full study on PLOS ONE:
https://doi.org/10.1371/journal.pone.0219327

Ethiopian maize breeders will directly apply knowledge gained from training

Training attendees outside the Rift Valley Hotel in Adama, Ethiopia. (Photo: CIMMYT)

From July 22–26, the Stress Tolerant Maize for Africa (STMA) project organized a training in Adama, Ethiopia to update maize technicians on recent developments in maize research, data collection and seed production. The training was designed to stimulate good breeding programs, good data collection in trial and nurseries, production of better quality seed and development of improved varieties. Around 25 trainees attended, mainly from maize breeding research centers. Similar trainings were conducted in all STMA project countries over the last three and a half years.

CIMMYT staff from Ethiopia, Kenya and Zimbabwe and staff from the Ethiopian Institute of Agricultural Research (EIAR) Bako Research Center delivered training on methodologies and gave practical demonstrations on tablets. Presentations focused on the origin and botany of the maize plant, constraints to maize production in Ethiopia, data collection, breeding for abiotic stresses, new tools for phenotyping, maize lethal necrosis (MLN), and seed quality control.

Mandefro Nigussie, Director General of EIAR, said that the training was important because it addressed data collection. “If we are missing the data, we are missing the investment of the country,” he noted. He recognized CIMMYT’s culture in empowering research centers through trainings. The role of EIAR is to generate, test, disseminate and scale technologies. Therefore, having technicians who are aware of the recent developments in their areas is crucial.

Cosmos Magorokosho, maize breeder and STMA project leader, said that the core components of the training were to give technicians a strong understanding of the basics of maize and the physiology of maize plant. The knowledge they gained from this training will support them during data collection and when breeding for resistance to diseases and pests and improved seed production.

Upon completing five days training, all trainees received certificates along with the presentations and other relevant documents for future reference. CIMMYT maize breeder Dagne Wegary said he appreciated the active participation and dedication of the trainees and the interest they showed to improve their knowledge and skills. He reminded them that this is the start of a long journey and they will have to use the knowledge and skills gained to help farmers produce more and ensure food security. Trainees reflected that the training increased their existing knowledge in maize breeding and helped them to understand the current developments in the area. They said they would directly apply what they have learned and transfer the knowledge to other colleagues working in maize breeding.

Breaking Ground: Fernando H. Toledo researches new models of analysis under simulated scenarios

Postcard_Fernando Toledo

Genomics is a wide theme of interest for geneticists. As part of the efforts to advance on this subject, Fernando H. Toledo, associated scientist in agricultural statistics at the International Maize and Wheat Improvement Center (CIMMYT), is working on the research of genomic selection models to increase accuracy. His research considers several complex traits and environmental conditions under climate change scenarios.

The research in which Toledo works is multidisciplinary — it involves genetics and breeding knowledge, as well as statistics and computer science. “This work is fundamental for the breeding and farming community. Our aim is to allow breeders to pursue precise selection of new genetic materials with good performance and ensuring food security in the field under varying environmental conditions.”

Fernando H. Toledo was born in São Paulo, Brazil, but grew up in Curitiba, Paraná, one of the biggest agricultural states in the country. He obtained his engineering degree, with a major in crop science, at Paraná Federal University.

He got his master’s degree in genetics and plant breeding at Lavras Federal University, under the supervision of Magno Ramalho, one of the most prestigious breeders in Brazil. During his Ph.D. in quantitative genetics at the Agricultural College of the University of São Paulo, Fernando was advised by Roland Vencovsky, known as the father of quantitative genetics in the country. “The main lesson I took from both of them was that biometrics science must try to answer the breeders’ questions.”

Toledo got a scholarship from the Brazilian National Council for Scientific and Technological Development (CNPq) to spend a season at CIMMYT in 2013, where he developed part of his thesis about the use of selection indices under the supervision of José Crossa.

CIMMYT’s work is highly relevant to breeding activities in Brazil. It dates back to the 1950s when Brazilian breeders and geneticists took maize populations and varieties to be important resources of their current germplasm. “The public and private sectors in Brazil recognize the importance of CIMMYT, which awoke my interest in working in a relevant institute for agriculture in developing countries.”

In 2015, Toledo applied for a postdoctoral position at the Biometrics and Statistics Unit of the Genetic Recourses Program at CIMMYT. He started working as an associate scientist in 2017.

As part of this unit, Toledo is currently involved in the planning and analysis of field trials comprising phenotypic and genomic data. He is developing new models and methods for these analysis as well as plant breeding simulations. “Genomic selection has been used over CIMMYT’s breeding programs before but there are still a lot of improvements to implement, so new models of analysis can be tested under simulated scenarios, which results in better recommendations for breeders.”

On top of that, he is implementing new open-source high-performance software products to facilitate the use of cutting-edge methods for data analysis. “I really like the connection we can build at CIMMYT in terms of practical work for breeders and the development of new statistical methods, models, tools and software we release to attend their requirements, with the main aim of improving precision during the selection of the best genetic materials.”

Led by Juan Burgueño, senior biometrician and head of the Biometrics and Statistics Unit, Toledo is training students, scientists and partners regarding statistical concepts and data analysis. “These trainings courses are a great opportunity to share our work with others and to learn the scientists’ needs in order to improve our capabilities.”

Toledo’s main inspiration to continue his work at CIMMYT is having the opportunity to generate knowledge for others in developing countries. “Our work is driven by the breeders’ needs and that usually helps them to improve their understanding by using what we developed for them and making it a forward-backward relation, which is fascinating.”