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Theme: Innovations

Working with smallholders to understand their needs and build on their knowledge, CIMMYT brings the right seeds and inputs to local markets, raises awareness of more productive cropping practices, and works to bring local mechanization and irrigation services based on conservation agriculture practices. CIMMYT helps scale up farmers’ own innovations, and embraces remote sensing, mobile phones and other information technology. These interventions are gender-inclusive, to ensure equitable impacts for all.

A farmer in Tanzania holds a handful of drought-tolerant maize seed. (Photo: Anne Wangalachi/CIMMYT)

Molecular breeding speeds development of better seeds

Written by Emma Orchardson on . Posted in Features.

To adequately confront rapidly changing plant pests and diseases and safeguard food security for a growing population, breeders — in collaboration with their partners — have to keep testing and applying new breeding methods to deliver resilient seed varieties at a much faster rate using minimal resources. Molecular markers are essential in this regard and are helping to accelerate genetic gains and deliver better seed to smallholders across sub-Saharan Africa in a much shorter timeframe.

Progress made so far in molecular plant breeding, genetics, genomic selection and genome editing has contributed to a deeper understanding on the role of molecular markers and greatly complemented breeding strategies. However, phenotyping remains the single most costly process in plant breeding, thus limiting options to increase the size of breeding programs.

Application of molecular markers increases the ability to predict and select the best performing lines and hybrids, prior to selection in the field. “This enables breeders to expand the size of a breeding program or the populations they work on using the same amount of resources,” says Manje Gowda, a maize molecular breeder at the International Maize and Wheat Improvement Center (CIMMYT).

“There are three stages in the use of molecular markers: discovery, validation and deployment,” he explains. “At the discovery phase, the objective is to find molecular markers associated or tightly linked with the trait of interest, while also assessing whether the trait is more complex or easier to handle with few markers for selection.”

The molecular markers identified at the discovery stage are validated in independent bi-parental or backcross populations, and the marker trait associations — which are consistent across different genetic backgrounds and diverse environments — are then moved to the deployment stage. Here, they are considered for use in breeding either as part of marker assisted selection or forward breeding, marker assisted back crossing and marker assisted recurrent selection.

Screening for resistance markers

CIMMYT scientists have discovered several marker trait associations for crop diseases including maize lethal necrosis (MLN), maize streak virus (MSV), corn rust and turcicum leaf blight. All these trait-associated markers have been validated in biparental populations.

For MLN, after screening several thousands of lines, researchers identified a few with resistance against the viral disease, namely KS23-5 and KS23-6. These lines were obtained from synthetic populations developed by Kasetsart University in Thailand and serve as trait donors. Researchers were able to use these as part of forward breeding, producing doubled haploid (DH) lines by using KS23-6 as one parent and screening for the presence of MLN resistance genes.

“This screening helps eliminate the lines that may carry susceptible genes, without having to phenotype them under artificial inoculation,” says Gowda. “These markers are also available to all partners to screen for MLN resistance, thereby saving on costs related to phenotyping.”

Scientists also used these MLN resistance markers to introgress the MLN resistance into several elite lines that are highly susceptible to the disease but have other desirable traits such as high grain yield and drought tolerance. The marker-assisted backcrossing technique was used to obtain MLN resistance from the KS23-5 and KS23-6 donor lines. This process involves crossing an elite, commercial line — as a recurrent parent in the case of CIMMYT elite lines — with a donor parent line (KS23) with MLN resistance. These were then backcrossed over two to three cycles to improve the elite line carrying MLN resistance genes. In the past three years, more than 50 lines have been introgressed with the MLN resistance gene from KS23-6 donor line.

Aida Zewdu Kebede, a PhD student at the University of Hohenheim, sits next to an experimental plot for doubled haploid maize in Agua Fría, Mexico. (Photo: Thomas Lumpkin/CIMMYT)
Aida Zewdu Kebede, a PhD student at the University of Hohenheim, sits next to an experimental plot for doubled haploid maize in Agua Fría, Mexico. (Photo: Thomas Lumpkin/CIMMYT)

An impetus to breeding programs

“The work Manje Gowda has been carrying out is particularly important in that it has successfully moved from discovery of valuable markers and proof-of-concept experiments to scalable breeding methods which are being used effectively,” says CIMMYT Trait Pipeline and Upstream Research Coordinator Mike Olsen. “Enabling routine implementation of molecular markers to increase selection efficiency of breeding programs in the context of African maize improvement is quite impactful.”

At CIMMYT, Gowda’s team applied genomic selection at the early stage of testing the breeding pipeline for different product profiles. “The objective was to testcross and phenotype 50% of the Stage One hybrids and predict the performance of remaining 50% of the hybrids using molecular markers,” Gowda explains.

The team have applied this strategy successfully each year since 2017, and the results of this experiment show that selection efficiency is the same as when using phenotypic selection, but using only 32% of the resources. From 2021 onwards, the aim is to use the previous year’s Stage One phenotypic and genotypic data to predict 100% of the lines. This will not only save the time but improve efficiency and resource use. The previous three-year Stage One historical data is helping to reduce the phenotyping of lines from 50% to 15%, with an increase in saving resources of up to 50%.

For the commercial seed sector, integrating molecular marker-based quality control measures can help deploy high-quality seeds, an important factor for increasing crop yields. In sub-Saharan Africa, awareness on marker-based quality has improved due to increased scientist and breeder trainings at national agricultural research systems (NARS), seed companies and national plant protection organizations, as well as regulators and policymakers.

Currently, many NARS and private sector partners are making it mandatory to apply marker-based quality control to maintain high-quality seeds. Since NARS and small- and medium-sized seed companies’ breeding programs are smaller, CIMMYT is coordinating the collection of samples from different partners for submission to service providers for quality control purposes. CIMMYT staff are also helping to analyze quality control data and interpret results to sharing with partners for decision-making. For the sustainability of this process, CIMMYT is training NARS partners on quality control, from sample collection to data analyses and interpretation, and this will support them to work independently and produce high-quality seed.

Such breeding improvements have become indispensable in supporting maize breeding programs in the public and private sectors to develop and deliver improved maize varieties to smallholder farmers across sub-Saharan Africa.

A farmer in Tanzania stands in front of her maize plot where she grows improved, drought tolerant maize variety TAN 250. (Photo: Anne Wangalachi/CIMMYT)
A farmer in Tanzania stands in front of her maize plot where she grows improved, drought tolerant maize variety TAN 250. (Photo: Anne Wangalachi/CIMMYT)
Philip Pardey stands in a wheat field. (Photo: David Hansen/University of Minnesota)

Q&A: CGIAR investment has generated returns of 10 times the amount invested

Written by Alison Doody on . Posted in Features.

Disclaimer: The views and opinions expressed in this article are those of Philip Pardey and do not necessarily reflect the official views or position of the International Maize and Wheat Improvement Center (CIMMYT).

Working with national agricultural research centers (NARS), CGIAR centers, including the International Maize and Wheat Improvement Center (CIMMYT), have played a pivotal role in staving off the last global food crisis, mainly through enhancing the yields of staple food crops like cereals.

A new report, commissioned by the Supporters of Agricultural Research (SoAR) Foundation and authored by experts from the University of California, Davis, the University of Minnesota and North Dakota State University shows that over the past five decades, CGIAR investment has generated returns of 10 times the amount invested.

We caught up with co-author Philip Pardey, a professor at the University of Minnesota and Director of the university’s GEMS Informatics Center, to discuss the report’s implications, the importance of collaboration between NARS and CGIAR, and why investment in agricultural research and development (R&D) is needed now more than ever.

According to the report, CGIAR investment has returned a benefit-cost ratio of 10:1. How does this compare to other government investments?

A benefit-cost ratio of 10:1 means that on average, a dollar invested today brings a future return equivalent to $10 in present-day value. This is high: any ratio over the threshold of 1:1 justifies investment.

This indicates that governments — and others who invest in CGIAR and related public food and agricultural R&D — would have profited society by doing more agricultural R&D compared with the investment opportunities normally available to them. Opportunities for investment in other national and global public goods, like education and infrastructure, might also have yielded very high returns, but there is no comparable evidence that those other opportunities yielded similar return on investments.

Drawing on the findings of this report, and other related work, we conclude that the economic evidence justifies at least a doubling of overall investments in public food and agricultural R&D.

The report shows evidence of massive underinvestment in agricultural research and development (R&D) in past years. Why is that?

As we show in the report, inflation adjusted CGIAR funding has declined sharply by around 25% in the past few years. There is nothing in the economic evidence that justifies this scaling back.

Some commentators have suggested that the easy gains from agricultural R&D have already been made and that the historical returns-to-research evidence is no longer representative of the returns to more recent R&D. However, the empirical evidence refutes that notion. For example, a 2019 study from Rao et al. showed that the contemporary returns of agricultural R&D are as high as ever.

What are the risks of continuing on this path of underinvestment in agricultural R&D?

In the second half of the 20th century, global food supply grew faster than demand and real food prices fell significantly, alleviating hunger and poverty for hundreds of millions around the world. Whether or not that pattern can be repeated in the first half of the 21st century will depend crucially on investments in agricultural R&D, including investments made through CGIAR.

Global demand for food is projected to grow by 70% from 2010 to 2050. Simply meeting that increased demand will call for transformative innovations in agriculture to adapt to a changing climate, combat co-evolving pests and diseases, and increase productivity of a fairly fixed land base and a shrinking supply of agricultural water. To make food abundant and affordable for the increasingly urban, poorest of the poor demands doing much more — and much better — than simply keeping up.  If adequate investments in agricultural R&D are absent, even the odds of keeping up look increasingly questionable.

Your report shows that returns are a joint effort between NARS and CGIAR. Can you elaborate on that?

The impact evidence we reviewed for our study made clear that the success of CGIAR research is inextricably intertwined with research undertaken by national programs. In fact, this national-international R&D connectedness makes it difficult to figure out what share of the overall benefits from research are attributable to CGIAR or national innovation systems.

CGIAR has appropriately shifted its attention to low-income countries that are still heavily dependent on agriculture for livelihoods and food security. These also tend to have lower national R&D capacities and more fragile innovation systems, as well as limited, albeit emerging, private sector capabilities to support their food and agricultural sectors.

Supporting the evolution of agricultural innovation systems within CGIAR’s target economies requires doubling down on technology discovery, adaptation and delivery activities.

Philip Pardey at the University of Minnesota, USA. (Photo: InSTePP/University of Minnesota)
Philip Pardey at the University of Minnesota, USA. (Photo: InSTePP/University of Minnesota)

How can CGIAR better meet current global food challenges?

CGIAR has been demonstrably successful as an international instrument of technology discovery and in enhancing the international transfer, or spillover, of these new technologies. Tackling longer term agricultural technology challenges has been a key part of past successes.

However, a significant share of the funding for the CGIAR appears to have shifted away from the more strategic development of international public innovation goods to more localized economic development activities with a technology component. For example, the share of unencumbered CGIAR funding shrank from around 80% in 1971 to 50% in 2000, and since 2010 has plummeted to very low levels. The impact evidence provides little support for the notion that this shift in funding, which often implies a greater emphasis on more localized and shorter-term activities, is a high payoff strategy that best leverages CGIAR’s comparative advantages.

As it continually repositions its role as a source of international public innovation goods targeted to agriculturally dependent low-income countries, CGIAR will need to rethink how it partners with the public agencies, universities and private research entities that are the major source of innovations in food and agriculture.

When CGIAR was founded, a large share of the world’s agricultural R&D was done by public agencies in rich countries. Now the agriculturally large, middle-income countries spend on par with the rich countries, and the innovation landscape in rich and many middle-income countries is increasingly dominated by private firms. This comes with new partnership opportunities for CGIAR, but also new challenges, not least given the increasingly proprietary nature of the innovations and data that are driving developments in the food and agricultural sectors.

In your report you have documented clear evidence to support investment in agricultural R&D. What are the next steps in engaging national governments and decision makers to get agricultural R&D back on their agendas?

Today, as in the past, funding streams for CGIAR research are in decline and under threat. This mirrors a pattern of declining public support over recent decades for agricultural R&D conducted by national programs in many of the world’s richer countries.

However, public expectations about the roles of government to address glaring market failures may be realigning. For instance, the COVID-19 crisis exposed weakness in many public health systems, with calls for renewed and hopefully sustained, long-term investments in these public programs. COVID has also revealed the fragility of food supply systems, even in rich countries. The tide of public opinion also seems to be turning regarding the growing risks associated with climate change.

Evidence-based efforts to communicate the inter-relatedness between climate, public health and agriculture risks, and the role of innovation in reducing these growing risks over the decades ahead is critical to right-sizing and realigning the public roles in agricultural R&D.

Just as strong public investments play a crucial and complimentary role regarding significant private investments in health research, so too does the basic and pre-competitive research, undertaken with public funding, prime the pump for the growing private roles in agricultural innovation.

And even as the worldwide demand for more diversified diets continues to increase, demand for staple crops such as wheat and maize will also continue to grow and will remain crucial to securing favourable nutrition and food security outcomes in the decades ahead. Innovations in agriculture are hard won, and there are long lags (often a decade or more) between spending on agricultural R&D and getting new crop technologies in the hands of farmers. Thus there is a real sense of urgency to revitalize the investments in agricultural R&D required to produce the innovations that are needed now more than ever to sustainably feed the world.

Philip Pardey is a Professor of Applied Economics and Director of the GEMS Informatics Center, a joint venture of the College of Food, Agricultural and Natural Resource Sciences (CFANS) and the Minnesota Supercomputing Institute (MSI), both at the University of Minnesota.

Close up of a durum wheat spike. (Photo: Xochiquetzal Fonseca/CIMMYT)

Landmark study generates genomic atlas for global wheat improvement

Written by Emma Orchardson on . Posted in Press releases.

Close up of a durum wheat spike. (Photo: Xochiquetzal Fonseca/CIMMYT)
Close up of a durum wheat spike. (Photo: Xochiquetzal Fonseca/CIMMYT)

In a landmark discovery for global wheat production, an international team led by the University of Saskatchewan and including scientists from the International Maize and Wheat Improvement Center (CIMMYT) has sequenced the genomes for 15 wheat varieties representing breeding programs around the world, enabling scientists and breeders to much more quickly identify influential genes for improved yield, pest resistance and other important crop traits.

The research results, just published in Nature, provide the most comprehensive atlas of wheat genome sequences ever reported. The 10+ Genome Project collaboration involved more than 95 scientists from universities and institutes in Australia, Canada, Germany, Israel, Japan, Mexico, Saudi Arabia, Switzerland, the UK and the US.

“It’s like finding the missing pieces for your favorite puzzle that you have been working on for decades,” said project leader Curtis Pozniak, wheat breeder and director of the USask Crop Development Centre (CDC). “By having many complete gene assemblies available, we can now help solve the huge puzzle that is the massive wheat pan-genome and usher in a new era for wheat discovery and breeding.”

“These discoveries pave the way to identifying genes responsible for traits wheat farmers in our partner countries are demanding, such as high yield, tolerance to heat and drought, and resistance to insect pests,” said Ravi Singh, head of global wheat improvement at CIMMYT and a study co-author.

One of the world’s most cultivated cereal crops, wheat plays an important role in global food security, providing about 20 per cent of human caloric intake globally. It’s estimated that wheat production must increase by more than 50% by 2050 to meet an increasing global demand.

The study findings build on the first complete wheat genome reference map published by the  International Wheat Genome Sequencing Consortium in 2018, increasing the number of wheat genome sequences almost 10-fold, and allowing scientists to identify genetic differences between wheat varieties.

The research team was also able to track the unique DNA signatures of genetic material incorporated into modern cultivars from wild wheat relatives over years of breeding.

“With partners at Kansas State University, our CIMMYT team found that a DNA segment in modern wheat derived from a wild wheat relative can improve yields by as much as 10%,” said Philomin Juliana, CIMMYT wheat breeder and study co-author.  “We can now work to ensure this gene is included in the next generation of modern wheat cultivars.”

The team also used the genome sequences to isolate an insect-resistant gene called Sm1, that enables wheat plants to withstand the orange wheat blossom midge, a pest which can cause more than $60 million in annual losses to Western Canadian producers.

“Understanding a causal gene like this is a game-changer for breeding because you can select for pest resistance more efficiently by using a simple DNA test than by manual field testing,” explained Pozniak.

The 10+ Genome Project was sanctioned as a top priority by the Wheat Initiative, a coordinating body of international wheat researchers.

“This project is an excellent example of coordination across leading research groups around the globe.  Essentially every group working in wheat gene discovery, gene analysis and deployment of molecular breeding technologies will use the resource,” said Wheat Initiative Scientific Coordinator Peter Langridge.

Read the full press release from the University of Saskatchewan.

RELATED PUBLICATIONS: 

Multiple Wheat Genomes Reveal Global Variation in Modern Breeding

FOR MORE INFORMATION, OR TO ARRANGE INTERVIEWS, CONTACT THE MEDIA TEAM:

Marcia MacNeil, Communications Officer, CGIAR Research Program on Wheat, CIMMYT. M.macneil@cgiar.org

Victoria Dinh, Media Relations, Univeristy of Saskatchewan, Victoria.dinh@usask.ca

ABOUT CIMMYT:

The International Maize and What Improvement Center (CIMMYT) is the global leader in publicly-funded maize and wheat research and related farming systems. Headquartered near Mexico City, CIMMYT works with hundreds of partners throughout the developing world to sustainably increase the productivity of maize and wheat cropping systems, thus improving global food security and reducing poverty. CIMMYT is a member of the CGIAR System and leads the CGIAR programs on Maize and Wheat and the Excellence in Breeding Platform. The Center receives support from national governments, foundations, development banks and other public and private agencies. For more information visit staging.cimmyt.org

ABOUT CDC:

The Crop Development Centre (CDC) in the USask College of Agriculture and Bioresources is known for research excellence in developing high-performing crop varieties and developing genomic resources and tools to support breeding programs.  Its program is unique in that basic research is fully integrated into applied breeding to improve existing crops, create new uses for traditional crops, and develop new crops. The CDC has developed more than 400 commercialized crop varieties.

Wheat stalks grow in a in India. (Photo: Saad Akhtar)

Progress and opportunities for CIMMYT spring wheat breeding

Written by Alison Doody on . Posted in News.

Wheat stalks grow in a in India. (Photo: Saad Akhtar)
Wheat stalks grow in a field in India. (Photo: Saad Akhtar)

Wheat scientists in the Accelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AGG) project, led by the International Maize and Wheat Improvement Center (CIMMYT), presented a range of new research at the 2020 Borlaug Global Rust Initiative (BGRI) Technical Workshop in October, highlighting progress in spring wheat breeding, disease screening and surveillance and the use of novel genomic, physiological tools to support genetic gains.

Sridhar Bhavani, CIMMYT senior scientist and head of Rust Pathology and Molecular Genetics, delivered a keynote presentation on a “Decade of Stem Rust Phenotyping Network: Opportunities, Challenges and Way Forward,” highlighting the importance of the international stem rust phenotyping platforms established with national partners in Ethiopia and Kenya at the Ethiopian Institute for Agricultural Research station in Debre Zeit, and the Kenya Agricultural and Livestock Research Organization station in Njoro, respectively. These platforms support global wheat breeding, genetic characterization and pre-breeding, surveillance and varietal release, and will continue to be an important mechanism for delivering high performing material into farmers’ fields.

CIMMYT wheat breeder Suchismita Mondal chaired a session on breeding technologies, drawing on her expertise leading the trait delivery pipeline in AGG (including rapid generation cycling and speed breeding). She led a lively Q&A on the potential for genomics and data-driven approaches to support breeding.

In the session, CIMMYT Associate Scientist and wheat breeder Philomin Juliana presented a “Retrospective analysis of CIMMYT’s strategies to achieve genetic gain and perspectives on integrating genomic selection for grain yield in bread wheat,” demonstrating that phenotypic selection — making breeding selections based on physically identifiable traits — has helped increase the proportion of genes associated with grain yield in CIMMYT’s globally distributed spring wheat varieties. Her work demonstrates the efficiency of indirect selection for yield in CIMMYT’s Obregon research station, and the potential of genomic selection, particularly when incorporating environmental effects.

The use of Obregon as a selection environment was further explored by CIMMYT wheat breeder Leo Crespo presenting “Definition of target population of environments in India and their prediction with CIMMYT’s international nurseries.” This work confirms Obregon’s relevance as an effective testing site, allowing the selection of superior germplasm under distinct management conditions that correlate with large agroecological zones for wheat production in India. Similar analyses will be conducted in AGG with the support of the CGIAR Excellence in Breeding Platform to optimize selection conditions for eastern Africa.

A wheat field is fed by drip irrigation in Obregon, Mexico. (Photo: H. Gomez/CIMMYT)
A wheat field is fed by drip irrigation in Obregon, Mexico. (Photo: H. Gomez/CIMMYT)

Supporting future genetic gains

CIMMYT’s Head of Global Wheat Improvement Ravi Singh presented “Genetic gain for grain yield and key traits in CIMMYT spring wheat germplasm — progress, challenges and prospects,” highlighting the International Wheat Improvement Network as an important source of new wheat varieties globally. He described progress on the implementation of genomic selection and  the use of state of the art tools to collect precise plant trait information, known as high-throughput phenotyping (HTP), in CIMMYT wheat breeding.

With partners, he is now conducting both genotyping (measuring the genetic traits of a plant) and phenotyping for all entries in the earliest stages of yield trials in Mexico. In addition, his team has succeeded in phenotyping a large set of elite lines at multiple field sites across South Asia. Looking forward, they aim to shorten generation advancement time, improve the parental selection for “recycling” (re-using parents in breeding), and adding new desirable traits into the pipeline for breeding improved varieties.

Following on from Ravi’s presentation, CIMMYT scientist Margaret Krause highlighted progress in HTP in her talk on “High-Throughput Phenotyping for Indirect Selection on Wheat Grain Yield at the Early-generation Seed-limited Stage in Breeding Programs.” This work highlights the potential of drones to capture highly detailed and accurate trait data, known as aerial phenotyping, to improve selection at the early-generation, seed-limited stages of wheat breeding programs.

This kind of physiological understanding will support future phenotyping and selection accuracy, as seen in the work that CIMMYT scientist Carolina Rivera shared on “Estimating organ contribution to grain-filling and potential for source up-regulation in wheat cultivars with contrasting source-sink balance.” Her research shows that a plant’s production of biomass is highly associated with yield under heat stress and that it is possible to achieve greater physiological resolution of the interaction between traits and environment to deliver new selection targets for breeding.

Overall, the talks by AGG scientists demonstrated tremendous progress in spring wheat breeding at CIMMYT and highlighted the importance of new tools and technologies to support future genetic gains.

All presentations can be found on the BGRI Workshop 2020 website.

The Borlaug Global Rust Initiative is an international community of hunger fighters committed to sharing knowledge, training the next generation of scientists, and engaging with farmers for a prosperous and wheat-secure world. The BGRI is funded in part through the Delivering Genetic Gain in Wheat (DGGW) project from the Bill & Melinda Gates Foundation and the UK Foreign, Commonwealth & Development Office.

CIMMYT scientists recognized for impact

Written by Marcia MacNeil on . Posted in News.

Four scientists working with the International Maize and Wheat Improvement Center (CIMMYT) have been recognized as 2020 recipients of the Clarivate™ Highly Cited Researchers list.

The honor recognizes exceptional research performance demonstrated by the production of multiple papers that rank in the top 1% by citations for field and year, according to the Web of Science citation indexing service.

Called a “who’s who” of influential researchers, the list draws on data and analysis performed by bibliometric experts and data scientists at the Institute for Scientific Information™ at Clarivate.

The 2020 CIMMYT honorees include:

  • José Luis Francisco Crossa: CIMMYT Distinguished Scientist.
  • Julio Huerta: CIMMYT-seconded wheat breeder and rust geneticist with Mexico’s Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias (INIFAP).
  • Matthew Reynolds: CIMMYT Distinguished Scientist, wheat physiologist and member, Mexican Academy of Sciences.
  • Ravi Singh: CIMMYT Distinguished Scientist and Head of Bread Wheat Improvement.

“I congratulate my colleagues in the Global Wheat Program for this excellent recognition of their important work,” said incoming CIMMYT Global Wheat Program Director Alison Bentley.

For more information, you can view the full Highly Cited Researchers 2020 list and information on the methodology.

A farmer assesses soil on his plot in Ethiopia. (Photo: Simret Yasabu/CIMMYT)

Taking stock of the national toolbox

Written by Emma Orchardson on . Posted in Features.

The Government of Ethiopia has consistently prioritized agriculture and sees it as a core component of the country’s growth. However, despite considerable efforts to improve productivity, poor management of soil health and fertility has been an ongoing constraint. This is mainly due to a lack of comprehensive site-and context-specific soil health and fertility management recommendations and dissemination approaches targeted to specific needs.

The government envisions a balanced soil health and fertility system that helps farmers cultivate and maintain high-quality and fertile soils through the promotion of appropriate soil-management techniques, provision of required inputs, and facilitation of appropriate enablers, including knowledge and finance.

So far, a plethora of different research-for-development activities have been carried out in support of this effort, including the introduction of tools which provide location-specific fertilizer recommendations. For example, researchers on the Taking Maize Agronomy to Scale in Africa (TAMASA) project, led by the International Maize and Wheat Improvement Center (CIMMYT), have created locally calibrated versions of Nutrient Expert® (NE) — a tool for generating fertilizer recommendations — for maize farmers in Ethiopia, Nigeria and Tanzania.

Nutrient Expert® is only one of the many fertilizer recommendation tools which have been developed in recent years covering different levels of applicability and accuracy across spatial scales and users, including smallholder farmers, extension agents and national researchers. However, in order to make efficient use of all the resources available in Ethiopia, there is a need to systematically evaluate the merits of each tool for different scales and use cases. To jump start this process, researchers from the TAMASA project commissioned an assessment of the tools and frameworks that have been developed, adapted and promoted in the country, and how they compare with one another for different use-cases. Seven tools were assessed, including Nutrient Expert®, the Ethiopian Soil Information System (EthioSIS) and RiceAdvice.

For each of these, the research team asked determined how the tool is currently being implemented — for example, as an app or as a generic set of steps for recommendation generation — and its data requirements, how robust the estimates are, how complicated the interface is, how easy it is to use, the conditions under which it performs well, and the spatial scale at which it works best.

Farmer Gudeye Leta harvests his local variety maize in Dalecho village, Gudeya Bila district, Ethiopia. (Photo: Peter Lowe/CIMMYT)
Farmer Gudeye Leta harvests his local variety maize in Dalecho village, Gudeya Bila district, Ethiopia. (Photo: Peter Lowe/CIMMYT)

Combining efforts and information

The results of this initial assessment indicate that the type of main user and the scale at which decisions are made varied from tool to tool. In addition, most of the tools considered have interactive interfaces and several — including Nutrient Expert® and RiceAdvice — have IT based platforms to automate the optimization of fertilizer recommendations and/or analyze profit. However, the source codes for all the IT based platforms and tools are inaccessible to end-users. This means that if further evaluation and improvements are to be made, there should be a means of collaborating with developers to share the back-end information, such as site-specific response curves and source codes.

Because most of the tools take different approaches to making fertilizer application site-specific, each of them renders unique strengths and trade-offs. For example, Nutrient Expert® may be considered strong in its approach of downscaling regionally calibrated responses to field level recommendations based on a few site-specific responses from farmers. By contrast, its calibration requires intensive data from nutrient omission trials and advice provision is time consuming.

Overall, the use of all the Site-Specific Decision-Support Tools (SSDST) has resulted in improved grain yields compared to when farmers use traditional practices, and this is consistent across all crops. On average, use of Nutrient Expert® improved maize, rice and wheat yields by 5.9%, 8.1% and 4.9%, respectively. Similarly, the use of RiceAdvice resulted in a 21.8% yield advantage.

The assessment shows that some of the tools are useful because of their applicability at local level by development agents, while others are good because of the data used to develop and validate them. However, in order to benefit the agricultural system in Ethiopia from the perspective of reliable fertilizer-use advisory, there is a need to develop a platform that combines the merits of all available tools. To achieve this, it has been suggested that the institutions who developed the individual tools join forces to combine efforts and information, including background data and source codes for IT based tools.

While the COVID-19 pandemic has disrupted efforts to convene discussions around this work, CIMMYT has and will continue to play an active advocacy role in supporting collaborative efforts to inform evidence-based reforms to fertilizer recommendations and other agronomic advice in Ethiopia and the wider region. CIMMYT is currently undertaking a more rigorous evaluation of these tools and frameworks as a follow up on the initial stocktaking activity.

Usman Kadir and his family de-husk maize on their farm in Ethiopia. (Photo: Apollo Habtamu/ILRI)

Faster results at a lower cost

Written by Emma Orchardson on . Posted in Blogs.

Usman Kadir and his family de-husk maize on their farm in Ethiopia. (Photo: Apollo Habtamu/ILRI)
Usman Kadir and his family de-husk maize on their farm in Ethiopia. (Photo: Apollo Habtamu/ILRI)

The current COVID-19 pandemic — and associated measures to reduce its spread — is projected to increase extreme poverty by 20%, with the largest increase in sub-Saharan Africa, where 80 million more people would join the ranks of the extreme poor. Accelerating the process of delivering high-quality, climate resilient and nutritionally enriched maize seed is now more critical than ever.However, developing these varieties is not a rapid or cheap process. Over the course of five years, researchers on the Stress Tolerant Maize for Africa (STMA) project developed a range of tools and technologies to reduce the overall cost of producing a new high yielding, stress tolerant hybrids for smallholder farmers in the region.

Maize breeding starts with crossing two parents and essentially ends after testing their great-great-great-great grandchildren in as many locations as possible. This allows plant breeders to identify the new varieties which will perform well in the conditions faced by their target beneficiaries — in the case of STMA, smallholder farmers in Africa. In other parts of the world, new tools and technologies are routinely added to breeding programs to help reduce the cost and time it takes to produce new varieties.

Scientists on the STMA project focused on testing and scaling new tools specifically for maize breeding programs in sub-Saharan Africa and began by taking a closer look at the most expensive part of the breeding process: phenotyping or collecting precise information on plant traits.

“Within a breeding program, phenotyping is the single most costly step,” explains CIMMYT molecular breeder Manje Gowda. “Molecular technologies provide opportunities to reduce this cost.” The research team tested two methods to speed up this step and make it more cost efficient: forward breeding and genomic selection.

Speeding up a long and costly process

Two important traits maize breeders look for in their plant progeny are susceptibility for two key maize diseases: maize streak virus (MSV) and maize lethal necrosis (MLN). In traditional breeding, breeders must extensively test lines in the field for their susceptibility to these diseases, and then remove them before the next round of crossing. This carries a significant cost.

Using a process called forward breeding, scientists can screen for DNA markers known to be associated with susceptibility to these diseases. This allows breeders to identify lines vulnerable to these diseases and remove them before field testing.

Scientists on the STMA project applied this approach in CIMMYT breeding programs in eastern and southern Africa over the past four years, saving an estimated $300,000 in field costs. Under the AGG project, research will now focus on applying forward breeding to identify susceptibility for another fast-spreading maize pest, fall armyworm, as well as extending use of this method in partners’ breeding programs.

A CIMMYT research associate inspects maize damaged by fall army worm at KALRO Kiboko Research Station in Kenya. (Photo: Peter Lowe/CIMMYT)
A CIMMYT research associate inspects maize damaged by fall army worm at KALRO Kiboko Research Station in Kenya. (Photo: Peter Lowe/CIMMYT)

Forward breeding is ideal for “simple” traits which are controlled by a few genes. However, other desired traits, such as tolerance to drought and low nitrogen stress, are genetically complex. Many genes control these traits, with each gene only contributing a little towards overall stress tolerance.

In this case, a technology called genomic selection can be of service. Genomic selection estimates the performance, or breeding value, of a line based largely on genetic information. Genomic selection uses more than 5,000 DNA markers, without the need for precise information about what traits these markers control. The method is ideal for complicated traits such as drought and low nitrogen stress tolerance, where hundreds of small effect genes together largely control how a plant grows under these stresses.

CIMMYT scientists used this technology to select and advance lines for drought tolerance. They then tested these lines and compared their performance in the field to lines selected conventionally. They found that the two sets of resulting hybrid varieties — those advanced using genomic selection and those advanced in the field — showed the same grain yield under drought stress. However, genomic selection only required phenotyping half the lines, achieving the same outcome with half the budget.

Innovations in the field

While DNA technology is reducing the need for extensive field phenotyping, research is also underway to reduce the cost of the remaining necessary phenotyping in the field.

Typically, many traits — such as plant height or leaf drying under drought stress — are measured by hand, using the labor of large teams of people. For example, plant and ear height is traditionally measured by a team of two using a meter stick.

Mainasarra Zaman-Allah, a CIMMYT abiotic stress phenotyping specialist based in Zimbabwe, has been developing faster, more accurate ways to measure these traits.  He implemented the use of a small laser sensor to measure plant and ear height which only requires one person. This simple yet cost effective tool has reduced the cost of measuring these traits by almost 60%. Similarly, using a UAV-based platform has reduced the cost of measuring a trait known as canopy senescence — leaf drying associated with drought susceptibility —by over 65%.

The identification of plants which are tolerant to key diseases has traditionally involved scoring the severity of disease in each plot visually, but walking through hundreds of plots daily can lead to errors in human judgement. To combat this, CIMMYT biotic stress phenotyping specialist LM Suresh collaborated with Jose Luis Araus and Shawn Kefauver, scientists at the University of Barcelona, Spain, to develop image analysis software that can quantify disease severity, thereby avoiding problems associated with unintentional human bias.

Plant breeders need uniform, or homozygous, lines for selection. With conventional plant breeding this is difficult: no matter how many times you cross a line, a small amount of DNA will remain heterozygous — having two different alleles of a particular gene — and reduce accuracy in line selection.

A technology called doubled haploid allows breeders to develop homozygous lines within two seasons. While this technology has been used in temperate maize breeding programs since the 1990s, it was not available for tropical environments until 10 years ago. In 2013, thanks to joint work with Kenyan partners at the CIMMYT Doubled Haploid facility in Kiboko, this technology was made available to African breeding programs. Now Vijay Chaikam, a CIMMYT doubled haploid specialist based in Kenya, is working towards reducing the cost of this technology as well.

The efforts begun by the STMA research team is now continuing under the Accelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AGG) project. As this work is carried forward, the next crucial step is ensuring that the next generation of African maize breeders have access to these technologies and tools.

“Improving national breeding programs will really drive success in raising maize yields in the stress prone environments faced by many farmers in our target countries,” says Mike Olsen, CIMMYT’s upstream trait pipeline coordinator. Under AGG, in collaboration with the CGIAR Excellence in Breeding Program, these tools will be scaled out.

A diagram outlines the links between different factors influencing gender dynamics in demand articulation and adoption of laborsaving technologies. (Graphic: Nancy Valtierra/CIMMYT)

New publications: Voicing demand for farm power

Written by Emma Orchardson on . Posted in Publications.

A new study examines how intra-household gender dynamics affect women’s articulation of demand for and adoption of labor-saving technologies in maize-based systems, drawing on empirical data from diverse household categories in Ethiopia and Kenya, where both women and men play important roles in agriculture.

Where agriculture relies heavily on manual labor, small-scale mechanization can reduce labor constraints and contribute to higher yields and food security. However, demand for and adoption of labor-saving machinery remains weak in many areas. Paradoxically, this includes areas where women face a particularly high labor burden.

“How do we make sense of this?” asks Lone Badstue, a rural development sociologist at the International Maize and Wheat Improvement Center (CIMMYT). “What factors influence women’s articulation of demand for and use of farm power mechanization?”

To answer this question, an international team of researchers analyzed data from four analytical dimensions — gender division of labor; gender norms; gendered access to and control over resources like land and income; and intra-household decision-making — to show how interactions between these influence women’s demand for and use of mechanization.

“Overall, a combination of forces seems to work against women’s demand articulation and adoption of labor-saving technologies,” says Badstue. Firstly, women’s labor often goes unrecognized, and they are typically expected to work hard and not voice their concerns. Additionally, women generally lack access to and control over a range of resources, including land, income, and extension services.

This is exacerbated by the gendered division of labor, as women’s time poverty negatively affects their access to resources and information. Furthermore, decision-making is primarily seen as men’s domain, and women are often excluded from discussions on the allocation of labor and other aspects of farm management. Crucially, many of these factors interlink across all four dimensions of the authors’ analytical framework to shape women’s demand for and adoption of labor-saving technologies.

A diagram outlines the links between different factors influencing gender dynamics in demand articulation and adoption of laborsaving technologies. (Graphic: Nancy Valtierra/CIMMYT)
A diagram outlines the links between different factors influencing gender dynamics in demand articulation and adoption of laborsaving technologies. (Graphic: Nancy Valtierra/CIMMYT)

Demand articulation and adoption of labor-saving technologies in the study sites are shown to be stimulated when women have control over resources, and where more permissive or inclusive norms influence gender relations. “Women’s independent control over resources is a game changer,” explains Badstue. “Adoption of mechanized farm power is practically only observed when women have direct and sole control over land and on- or off-farm income. They rarely articulate demand or adopt mechanization through joint decision-making with male relatives.”

The study shows that independent decision-making by women on labor reduction or adoption of mechanization is often confronted with social disapproval and can come at the cost of losing social capital, both within the household and in the community. As such, the authors stress the importance of interventions which engage with these issues and call for the recognition of technological change as shaped by the complex interplay of gender norms, gendered access to and control over resources, and decision-making.

Read the full article ‘How local gender norms and intra-household dynamics shape women’s demand for labor-saving technologies: insights from maize-based livelihoods in Ethiopia and Kenya’ in Gender, Technology and Development.

Read more recent publications by CIMMYT researchers:

1. Activity profiling of barley vacuolar processing enzymes provides new insights into the plant and cyst nematode interaction. 2020. Labudda, M., Rozanska, E., Prabucka, B., Muszynska, E., Marecka, D, Kozak, M, Dababat, A.A, Sobczak, M. In: Molecular Plant Pathology v. 21, no, 1, pg. 38-52.

2. Heteromorphic seeds of wheat wild relatives show germination niche differentiation. 2020. Gianella, M., Balestrazzi, A., Pagano, A., Müller, J.V., Kyratzis, A.C., Kikodze, D., Canella, M., Mondoni, A., Rossi, G., Guzzon, F. In: Plant Biology v. 22, no. 2, pg. 191-202.

3. Genetic dissection of maternal influence on in vivo haploid induction in maize. 2020. Nair, S.K., Chaikam, V., Gowda, M., Hindu, V., Melchinger, A.E., Prasanna, B.M. In: The Crop Journal v. 8 no. 2, pg. 287-298.

4. Genome-wide analyses and prediction of resistance to MLN in large tropical maize germplasm. 2020. Nyaga, C., Gowda, M., Beyene, Y., Muriithi, W.T., Makumbi, D., Olsen, M., Mahabaleswara, S.L., Jumbo, M.B., Das, B., Prasanna, B.M. In: Genes v. 11, no. 1, art. 16.

5. Performance and yield stability of maize hybrids in stress-prone environments in eastern Africa. 2020. Rezende, W.S., Beyene, Y., Mugo, S.N., Ndou, E., Gowda, M., Julius Pyton Sserumaga, Asea, G., Ismail Ngolinda, Jumbo, M.B., Oikeh, S.O., Olsen, M., Borém, A., Cruz, C.D., Prasanna, B.M. In: The Crop Journal v. 8, no. 1, pg. 107-118.

6. Genetic analysis of QTL for resistance to maize lethal necrosis in multiple mapping populations. 2020. Awata, L.A.O., Beyene, Y., Gowda, M., Mahabaleswara, S.L., Jumbo, M.B., Tongoona, P., Danquah, E., Ifie, B.E., Marchelo-D’ragga, P.W., Olsen, M., Ogugo, V., Mugo, S.N., Prasanna, B.M. In: Genes v. 11, no. 1, art. 32.

7. Variation in occurrence and aflatoxigenicity of Aspergillus flavus from two climatically varied regions in Kenya. 2020. Monda, E., Masanga, J., Alakonya, A. In: Toxins v. 12, no. 1, art. 34.

8. A detached leaf assay to rapidly screen for resistance of maize to Bipolaris maydis, the causal agent of southern corn leaf blight. 2020. Aregbesola, E., Ortega Beltran, A., Falade, T. D. O., Gbolagade Jonathan, Hearne, S., Bandyopadhyay, R. In: European Journal of Plant Pathology v. 156, no. 1, pg. 133-145.

9. Spread and impact of fall armyworm (Spodoptera frugiperda J.E. Smith) in maize production areas of Kenya. 2020. De Groote, H., Kimenju, S.C., Munyua, B., Palmas, S., Kassie, M., Bruce, A.Y. In: Agriculture, Ecosystems and Environment v. 292, art. 106804.

10. Genetic dissection of grain yield and agronomic traits in maize under optimum and low-nitrogen stressed environments. 2020. Berhanu Tadesse Ertiro, Olsen, M., Das, B., Gowda, M., Labuschagne, M. In: International Journal of Molecular Sciences v. 21, no. 2, art. 543.

11. ToxA-Tsn1 interaction for spot blotch susceptibility in Indian wheat: an example of inverse gene-for-gene relationship. 2020. Sudhir Navathe, Punam S. Yadav., Chand, R., Vinod Kumar Mishra, Vasistha, N.K., Prabina Kumar Meher, Joshi, A.K., Pushpendra Kumar Gupta In: Plant Disease v. 104, no. 1, pg. 71-81.

12. Novel sources of wheat head blast resistance in modern breeding lines and wheat wild relatives. 2020. Cruppe, G., Cruz, C.D., Peterson, G.L., Pedley, K.F., Asif, M., Fritz, A.K., Calderon Daza, L., Lemes da Silva, C., Todd, T.C., Kuhnem, P., Singh, P.K., Singh, R.P., Braun, H.J., Barma, N.C.D., Valent, B. In: Plant Disease v. 104, no. 1, pg. 35-43.

13. Stripe rust resistance genes in a set of Ethiopian bread wheat cultivars and breeding lines. 2020. Gebreslasie Zeray Siyoum, Huang, S., Gangming Zhan, Badebo, A., Qingdong Zeng, Jianhui Wu, Qilin Wang, Shengjie Liu, Lili Huang, Xiaojing Wang, Zhensheng Kang, Dejun Han In: Euphytica v. 216, no. 2, art. 17.

14. Appraisal of wheat genomics for gene discovery and breeding applications: a special emphasis on advances in Asia. 2020. Rasheed, A., Takumi, S., Hassan, M.A., Imtiaz, M., Ali, M., Morgounov, A.I., Mahmood, T., He Zhonghu In: Theoretical and Applied Genetics v. 113, pg. 1503–1520.

15. Diversity and incidence of plant-parasitic nematodes associated with saffron (Crocus sativus L.) in Morocco and their relationship with soil physicochemical properties. 2020. Mokrini, F., Salah-Eddine Laasli, Karra, Y., El Aissami, A., Dababat, A.A. In: Nematology v. 22, no. 1, pg. 87-102.

16. Maya gene variants related to the risk of type 2 diabetes in a family-based association study. 2020. Domínguez-Cruz, M.G., Muñoz, M. de L., Totomoch-Serra, A., García-Escalante, M.G., Burgueño, J., Valadez-González, N., Pinto-Escalantes, D., Diaz-Badillo, A. In: Gene v. 730, art. 144259.

17. Effect of allele combinations at Ppd-1 loci on durum wheat grain filling at contrasting latitudes. 2020. Arjona, J.M., Royo, C., Dreisigacker, S., Ammar, K., Subira, J., Villegas, D. In: Journal of Agronomy and Crop Science, v. 206, no. 1, pg. 64-75.

18. Yield and quality in purple-grained wheat isogenic lines. 2020. Morgounov, A.I., Karaduman, Y., Akin, B., Aydogan, S., Baenziger, P.S., Bhatta, M.R., Chudinov, V., Dreisigacker, S., Velu, G., Güler, S., Guzman, C., Nehe, A., Poudel, R., Rose, D., Gordeeva, E., Shamanin, V., Subasi, K., Zelenskiy, Y., Khlestkina, E. In: Agronomy v. 10, no. 1, art. 86.

19. Anther extrusion and its association with Fusarium head blight in CIMMYT wheat germplasm. 2020. Kaijie Xu, Xinyao He, Dreisigacker, S., He Zhonghu, Singh, P.K. In: Agronomy v. 10, no. 1 art. 47.

20. Does farm structure affect rural household incomes? Evidence from Tanzania. 2020. Chamberlin, J., Jayne, T.S. In: Food Policy v. 90, art. 101805.

21. GAR dwarf gene Rht14 reduced plant height and affected agronomic traits in durum wheat (Triticum durum). 2020. Shan Duan, Zhangchen Zhao, Yue Qiao, Chunge Cui, Morgounov, A.I., Condon, A.G., Liang Chen, Yin-Gang Hu In: Field Crops Research v. 248, art. 107721.

22. Ex-ante and ex-post coping strategies for climatic shocks and adaptation determinants in rural Malawi. 2020. Abid, M., Ali, A., Rahut, D.B., Raza, M., Mehdi, M. In: Climate Risk Management v. 27, art. 100200.

23. Management of spot blotch and heat stress in spring wheat through azoxystrobin-mediated redox balance. 2020. Sudhir Navathe, Chand, R., Vinod Kumar Mishra, Pandey, S.P., Kumar, U., Joshi, A.K. In: Agricultural Research v. 9, pg. 169–178.

24. Spatial variation in fertilizer prices in Sub-Saharan Africa. 2020. Bonilla Cedrez, C., Chamberlin, J., Guo, Z., Hijmans, R.J. In: PLoS One v. 115, no. 1, art. e0227764.

25. Unravelling the variability and causes of smallholder maize yield gaps in Ethiopia. 2020. Banchayehu Tessema Assefa, Chamberlin, J., Reidsma, P., Silva, J.V., Ittersum, M.K. van. In: Food Security v. 12, pg. 83-103.

26. Linking land distribution with food security: empirical evidence from Pakistan. 2020. Mahmood, H.Z., Ali, A., Rahut, D.B., Pervaiz, B., Siddiqui, F. In: Journal of Animal and Plant Sciences v. 30, no.1, pg. 175-184.

27. Agricultural growth and sex-disaggregated employment in Africa: future perspectives under different investment scenarios. 2020. Frija, A., Chebil, A., Mottaleb, K.A., Mason-D’Croz, D., Dhehibi, B. In: Global Food Security v. 24, art. 100353.

28. Genetic diversity analysis using DArTseq and SNP markers in populations of Aegilops species from Azerbaijan. 2020. Abbasov, M., Sansaloni, C.P., Burgueño, J., Petroli, C.D., Akparov, Z., Aminov, N., Babayeva, S., Izzatullayeva, V., Hajiyev, E., Rustamov, K., Mammadova, S.A., Amri, A., Payne, T.S. In: Genetic Resources and Crop Evolution v. 67, no. 2, pg. 281-291.

29. Bridging the disciplinary gap in conservation agriculture research, in Malawi. A review. 2020. Hermans, T.D.G., Whitfield, S., Dougill, A.J., Thierfelder, C. In: Agronomy for Sustainable Development v. 40, no. 1, art. 3.

30. Scaling agricultural mechanization services in smallholder farming systems: case studies from sub-Saharan Africa, South Asia, and Latin America. 2020. Van Loon, J., Woltering, L., Krupnik, T.J., Baudron, F., Boa, M., Govaerts, B. In: Agricultural Systems v. 180, art. 102792.

A member of an agricultural mechanization youth association in Ethiopia’s Tigray region fills a two-wheel tractor with water before irrigation. (Photo: Simret Yasabu/CIMMYT)

The beginning of a beautiful partnership

Written by Emma Orchardson on . Posted in Features.

In most developing countries, smallholder farmers are the main source of food production, relying heavily on animal and human power. Women play a significant role in this process — from the early days of land preparation to harvesting. However, the sector not only lacks appropriate technologies — such as storage that could reduce postharvest loss and ultimately maximize both the quality and quantity of the farm produce — but fails to include women in the design and validation of these technologies from the beginning.

“Agricultural outputs can be increased if policy makers and other stakeholders consider mechanization beyond simply more power and tractorization in the field,” says Rabe Yahaya, an agricultural mechanization expert at CIMMYT. “Increases in productivity start from planting all the way to storage and processing, and when women are empowered and included at all levels of the value chain.”

In recent years, mechanization has become a hot topic, strongly supported by the German Federal Ministry for Economic Cooperation and Development (BMZ). Under the commission of BMZ, the German development agency GIZ set up the Green Innovation Centers (GIC) program, under which the International Maize and Wheat Improvement Center (CIMMYT) supports mechanization projects in 16 countries — 14 in Africa and two in Asia.

As part of the GIC program, a cross-country working group on agricultural mechanization is striving to improve knowledge on mechanization, exchange best practices among country projects and programs, and foster links between members and other mechanization experts. In this context, CIMMYT has facilitated the development of a matchmaking and south-south learning matrix where each country can indicate what experience they need and what they can offer to the others in the working group. CIMMYT has also developed an expert database for GIC so country teams can reach external consultants to get the support they need.

“The Green Innovation Centers have the resources and mandate to really have an impact at scale, and it is great that CIMMYT was asked to bring the latest thinking around sustainable scaling,” says CIMMYT scaling advisor Lennart Woltering. “This is a beautiful partnership where the added value of each partner is very clear, and we hope to forge more of these partnerships with other development organizations so that CIMMYT can do the research in and for development.”

This approach strongly supports organizational capacity development and improves cooperation between the country projects, explains Joachim Stahl, a capacity development expert at CIMMYT. “This is a fantastic opportunity to support GIZ in working with a strategic approach.” Like Woltering and Yahaya, Stahl is a GIZ-CIM integrated expert, whose position at CIMMYT is directly supported through GIZ.

A catalyst for South-South learning and cooperation

Earlier this year, CIMMYT and GIZ jointly organized the mechanization working group’s annual meeting, which focused on finding storage technologies and mechanization solutions that benefit and include women. Held from July 7–10 July, the virtual event brought together around 60 experts and professionals from 20 countries, who shared their experiences and presented the most successful storage solutions that have been accepted by farmers in Africa for their adaptability, innovativeness and cost and that fit best with local realities.

CIMMYT postharvest specialist Sylvanus Odjo outlined how to reduce postharvest losses and improve food security in smallholder farming systems using inert dusts such as silica, detailing how these can be applied to large-scale agriculture and what viable business models could look like. Alongside this and the presentation of Purdue University’s improved crop storage bags, participants had the opportunity to discuss new technologies in detail, asking questions about profitability analysis and the many variables that may slow uptake in the regions where they work.

Harvested maize cobs are exposed to the elements in an open-air storage unit in Ethiopia. (Photo: Simret Yasabu/CIMMYT)
Harvested maize cobs are exposed to the elements in an open-air storage unit in Ethiopia. (Photo: Simret Yasabu/CIMMYT)

Discussions at the meeting also focused heavily on gender and mechanization – specifically, how women can benefit from mechanized farming and the frameworks available to increase their access to relevant technologies. Modernizing the agricultural sector in developing countries in ways that would benefit both men and women has remained a challenge for many professionals. Many argue that the existing technologies are not gender-sensitive or affordable for women, and in many cases, women are not well informed about the available technologies.

However, gender-sensitive and affordable technologies will support smallholder farmers produce more while saving time and energy. Speaking at a panel discussion, representatives from AfricaRice and the Food and Agriculture Organization of the United Nations (FAO) highlighted the importance of involving women during the design, creation and validation of agricultural solutions to ensure that they are gender-sensitive, inclusive and can be used easily by women. Increasing their engagement with existing business models and developing tailored digital services and trainings will help foster technology adaptation and adoption, releasing women farmers from labor drudgery and postharvest losses while improving livelihoods in rural communities and supporting economic transformation in Africa.

Fostering solutions

By the end of the meeting, participants had identified and developed key work packages both for storage technologies and solutions for engaging women in mechanization. For the former, the new work packages proposed the promotion of national and regional dialogues on postharvest, cross-country testing of various postharvest packages, promotion of renewable energies for power supply in storing systems and cross-country scaling of hermetically sealed bags.

To foster solutions for women in mechanization, participants suggested the promotion and scaling of existing business models such as ‘Woman mechanized agro-service provider cooperative’, piloting and scaling gender-inclusive and climate-smart postharvest technologies for smallholder rice value chain actors in Africa, and the identification and testing of gender-sensitive mechanization technologies aimed at finding appropriate tools or approaches.

Cover image: A member of Dellet – an agricultural mechanization youth association in Ethiopia’s Tigray region – fills a two-wheel tractor with water before irrigation. (Photo: Simret Yasabu/CIMMYT)

Power of data: To enhance food security

Written by Mary Donovan on . Posted in In the media.

Data has become a key driver of growth and change in today’s world.

There is growing recognition that data is indispensable for effective planning and decision-making in every sector. But the state of digital data in developing countries is far from satisfactory. In Asia, monitoring the Sustainable Development Goals (SDGs) remains a challenge due to a lack of accurate data.

Read more: https://thehimalayantimes.com/opinion/power-of-data-to-enhance-food-security/

A researcher demonstrates the use of the AgroTutor app on a mobile phone in Mexico. (Photo: Francisco Alarcón/CIMMYT)

Digital revolution can transform agri-food systems

Written by Alison Doody on . Posted in Features.

A digital transformation is changing the face of international research for development and agri-food systems worldwide. This was the key takeaway from the 4th annual CGIAR Big Data in Agriculture Convention held virtually last month.

“In many countries, farmers are using data to learn about market trends and weather predictions,” said Martin Kropff, director general of the International Maize and Wheat Improvement Center (CIMMYT), in a video address to convention participants. “But many still do not have access to everything that big data offers, and that is where CIMMYT and partners come in.”

As a member of CGIAR, CIMMYT is committed to ensuring that farmers around the world get access to data-driven solutions and information, while at the same time ensuring that the data generated by farmers, researchers and others is used ethically.

According to CGIAR experts and partner organizations, there are four key areas with the potential to transform agriculture in the next 10 years: data, artificial intelligence (AI), digital services and sector intelligence.

Key interventions will involve enabling open data and responsible data use, developing responsible AI, enabling and validating bundled digital services for food systems, and building trust in technology and big data — many of which CIMMYT has been working on already.

Harnessing data and data analytics

Led by CIMMYT, the CGIAR Excellence in Breeding (EiB) team have been developing the Enterprise Breeding System (EBS) — a single data management software solution for global breeding programs. The software aims to provide a solution to manage data across the entire breeding data workflow — from experiment creation to analytics — all in a single user-friendly dashboard.

CIMMYT and partners have also made significant breakthroughs in crop modelling to better understand crop performance and yield gaps, optimize planting dates and irrigation systems, and improve predictions of pest outbreaks. The Community of Practice (CoP) on Crop Modeling, a CGIAR initiative led by CIMMYT Crop Physiologist Matthew Reynolds, aims to foster collaboration and improve the collection of open access, easy-to-use data available for crop modelling.

The CIMMYT-led Community of Practice (CoP) on Socio-Economic Data continues to work at the forefront of making messy socio-economic data interoperable to address urgent and pressing global development issues in agri-food systems. Data interoperability, one of the foundational components of the FAIR data standards supported by CGIAR, addresses the ability of systems and services that create, exchange and consume data to have clear, shared expectations for its content, context and meaning. In the wake of COVID-19, the world witnessed the need for better data interoperability to understand what is happening in global food systems, and the CoP actively supports that process.

The MARPLE team carries out rapid analysis using the diagnostic kit in Ethiopia. (Photo: JIC)
The MARPLE team carries out rapid analysis using the diagnostic kit in Ethiopia. (Photo: JIC)

Improving data use and supporting digital transformation

In Ethiopia, the MARPLE (Mobile And Real-time PLant disEase) diagnostic kit — developed by CIMMYT, the Ethiopian Institute of Agricultural Research (EIAR) and the John Innes Centre (JIC) — has helped researchers, local governments and farmers to rapidly detect diseases like wheat rust in the field. The suitcase-sized kit cuts down the time it takes to detect this disease from months to just 48 hours.

In collaboration with research and meteorological organizations including Wageningen University and the European Space Agency (ESA), CIMMYT researchers have also been developing practical applications for satellite-sourced weather data. Crop scientists have been using this data to analyze maize and wheat cropping systems on a larger scale and create more precise crop models to predict the tolerance of crop varieties to stresses like drought and heatwaves. The aim is to share the climate and weather data available on an open access, user-friendly database.

Through the AgriFoodTrust platform — a new testing and learning platform for digital trust and transparency technologies – CIMMYT researchers have been experimenting with technologies like blockchain to tackle issues such as food safety, traceability, sustainability, and adulterated and counterfeit fertilizers and seeds. Findings will be used to build capacity on all aspects of the technologies and their application to ensure this they are inclusive and usable.

In Mexico, CIMMYT and partners have developed an application which offers tailored recommendations to help individual farmers deal with crop production challenges sustainably. The AgroTutor app offers farmers free information on historic yield potential, local benchmarks,  recommended agricultural practices,  commodity price forecasting and more.

Stepping up to the challenge

As the world becomes increasingly digital, harnessing the full potential of digital technologies is a huge area of opportunity for the agricultural research for development community, but one that is currently lacking clear leadership. As a global organization already working on global problems, it’s time for the CGIAR network to step up to the challenge. Carrying a legacy of agronomic research, agricultural extension, and research into adoption of technologies and innovations, CGIAR has an opportunity to become a leader in the digital transformation of agriculture.

Currently, the CGIAR System is coming together as One CGIAR. This transformation process is a dynamic reformulation of CGIAR’s partnerships, knowledge, assets, and global presence, aiming for greater integration and impact in the face of the interdependent challenges facing today’s world.

“One CGIAR’s role in supporting digitalization is both to improve research driven by data and data analytics, but also to foster the digitalization of agriculture in low and lower-middle income countries,” said CIMMYT Economist Gideon Kruseman at a session on Exploring CGIAR Digital Strategy at last month’s Big Data convention.

“One CGIAR — with its neutral stance and its focus on global public goods — can act as an honest broker between different stakeholders in the digital ecosystem.”

Cover photo: A researcher demonstrates the use of the AgroTutor app on a mobile phone in Mexico. (Photo: Francisco Alarcón/CIMMYT)

Crop Modeling community of practice

Written by Rodrigo Ordóñez on . Posted in Videos.

The Community of Practice on Crop Modeling is part of the CGIAR Platform for Big Data in Agriculture and encompasses a wide range of quantitative applications, based around the broad concept of parametrizing interactions within and among the main drivers of cropping systems. These are namely: Genotype, Environment, Management and Socioeconomic factors (GEMS) to provide information and tools for decision support. The Community of Practice was formed in 2017 and is led by Wheat Physiologist Matthew Reynolds at the International Maize and Wheat Improvement Center (CIMMYT) in Texcoco, Mexico.

Crop modeling has already contributed to a better understanding of crop performance and yield gaps; predictions of potential pest and disease epidemics; more efficient irrigation and fertilization systems, and optimized planting dates. These outputs help decision makers look ahead and prepare their research and extension systems to fight climate change where it is most needed. However, there is a significant opportunity — and need — to improve the global coordination of crop modeling efforts in agricultural research. This will, in turn, greatly improve the world’s ability to develop more adaptive, resilient crops and cropping systems.

Our Community of Practice aims to promote a better-coordinated and more standardized approach to crop modeling in agricultural research. With over 900 members involving CGIAR centers and a wide range of international partners, the Crop Modeling Community of Practice is already facilitating and sharing knowledge, resources, “model-ready” data, FAIR (Findable, Accessible, Interoperable, Reusable) data principles, and other useful information; while promoting capacity building and collaboration within the CGIAR and its community.

Get more information about the Crop Modeling Community of Practice on the Big Data website.

Join the Crop Modeling mailing list to get information about publications, webinars, new tools, updates and collaboration opportunities.

Connect to our LinkedIn group: Crop Modeling CoP.

Breaking Ground: Andrea Gardeazábal transforms data into meaningful information

Written by Mary Donovan on . Posted in Features.

Andrea Gardeazábal has many titles — Monitor, Evaluation and Learning Manager, ICT for Agriculture — but the core of what she does is knowledge management. She merges monitoring, evaluation, accountability and learning (MEAL) with information communication technologies (ICT) to transform data into something meaningful.

A political scientist by training, Gardeazábal knows the power of data and statistics. As she began working on ICT-for-development projects in the field, she observed a lack of understanding of ICT and how the development sector could take advantage of these tools.

“I knew this was progressing very fast; that this was the future. Everyone was talking about ICT and the future with the internet of things, and social media was just getting started,” she said. So she asked herself, how could the development sector take advantage of these new technologies?

Gardeazábal was working on projects bringing computers to rural areas in Colombia, which did not have internet connection or electricity. The problem could not be solved simply with a machine. She wanted to understand how to use ICT for development in a meaningful way. This triggered an interest in MEAL, to understand how ICT benefits the development sector, or does not, and to reintegrate that information into project design and impact.

After working in ICT for civil participation, education and microfinance, she joined CIMMYT with the mission to understand ICT for agriculture. Now she merges ICT tools with MEAL, leading the design, development and operation of systems for data collection, data cleaning, data analysis and data visualization with the Integrated Development program’s projects in Colombia, Guatemala and Mexico.

Ensuring intended results

Monitoring, learning, accountability and evaluation is crucial to ensure CIMMYT delivers on its objectives. Monitoring means ensuring that operations in the field are happening as planned. Rather than waiting until the end of the project when the donor asks for a report, Gardeazábal’s team monitors operations in the field on a quarterly or yearly basis. The team, both in the field and at headquarters, uses this data to check that the project is achieving what was intended and make interventions or adjustments if necessary.

Evaluation looks at project results and evidence. The team collects evidence for every single data point that they have, and then evaluates that evidence for impact and results in the field. This data is not only related to yield increase, but includes sustainable production, capacity development, and adequate technology adaptation and adoption processes.

Accountability is transparency with funders, so that everyone involved in a project is accountable for the processes, decisions and impact. CIMMYT is able to show progress through a transparent relationship with funders.

Learning happens after the team collects information, produces results evaluations, and understands what was done well and where the process had to be redirected. This information can then inform design of new projects or project phases. “We use the data and analysis of each project to redesign or modify our plans for the next project or even what kinds of projects we want to conduct,” Gardeazábal said.

Andrea Gardeazábal merges ICT tools with monitoring, evaluation, accountability and learning to improve project design.
Andrea Gardeazábal merges ICT tools with monitoring, evaluation, accountability and learning to improve project design. (Photo: Francisco Alarcón/CIMMYT)

What ICT can offer

In the past, a MEAL team would collect data from a representative sample at the start of the project, then go back to the office and analyze that data. At the end of the project, the team would complete the same exercise, to see the difference from what they gathered at the beginning.

With ICT tools, researchers are able to gather and analyze robust data more quickly and can communicate efficiently with the beneficiaries of a project throughout its course. Artificial intelligence and machine learning algorithms can help in understanding large sets of data so that this information can strengthen and streamline the MEAL process and project impact.

“We don’t need to wait until the end of the project for the results in the field or to have a sense of what the farmers are saying and achieving. We have a lot of tools, from the ICT side, that help make monitoring and evaluation more efficient,” Gardeazábal explained.

An international award recognized some of these ICT tools earlier this year. Gardeazábal formed part of the winning team with members from the Alliance of Bioversity International and CIAT and the International Institute for Applied Systems Analysis (IIASA) working on groundbreaking data systems and tools that help over 150,000 farmers in Mexico.

The team tracked over 500 variables over different farming plots and analyzed them with geographic, weather and market data to help identify the best management practices for each plot. This information — including historic yield potential, local benchmarks, windows of opportunity, recommended agricultural practices and commodity price forecasting — is available to farmers through an app called AgroTutor (Android, iOS).

The importance of an enabling environment

However, Gardeazábal cautions against the idea that technology on its own is going to end poverty or increase food security.

“ICT is a vehicle for innovation in agriculture. Just having an app in the field is not enough to generate the change that we are actually looking for. You need an enabling environment, a network, engagement of the farmers and the buy-in of scientists to take advantage of ICT tools.”

From drones and satellite imagery to artificial intelligence, ICT tools can help CIMMYT carry out its mission by streamlining the data gathering and analytics processes.

However, this work is not done in isolation from the environment surrounding it. CIMMYT does not only work on increasing yields, but also manages resources and local networks in efficient ways. Teams must monitor data on air quality, water use and efficient information flows, analyze this data, and then return to the field with recommendations for the most sustainable production within integrated agri-food systems.

CIMMYT field workers working on wheat crossing as part of the breeding process.

Webinar explores continuous improvement approach to plant breeding

Written by Marcia MacNeil on . Posted in News.

CIMMYT field workers working on wheat crossing as part of the breeding process.
CIMMYT field workers working on wheat crossing as part of the breeding process. (Photo: CIMMYT)

A recent webinar organized by the CGIAR Excellence in Breeding Platform (EiB) and Accelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AGG) project, invited national agricultural research systems, seed companies, other interested breeders to explore tools, techniques and transitions toward a continuous improvement culture in breeding.

Continuous improvement (CI) is an approach that is being used to modernize breeding programs, to ensure they consistently get significantly improved varieties in farmers’ fields. It helps teams create a new way of thinking and working. The goal is to ensure striving for excellence becomes part of an organizational culture. To get there, CI provides a set of clear principles and tools to help diagnose problems and then solve them.

The webinar featured a leading international CI expert —Theresa Heitman, an EiB consultant — who introduced the Lean Improvement Methodology, an approach to help breeders grow their programs and improve results without adding more resources. It examines the way breeders create value for the customer, using specific methods and tools to reduce or eliminate non-value added activities.

Other presenters included B.M. Prasanna from the CGIAR Research Program on Maize, Gustavo Teixeira and Theresa Heitman from EiB and Dan Makumbi from EiB and the International Maize and Wheat Improvement Center (CIMMYT), Marcelo Almeida from Syngenta, and Sharifah Shahrul from the International Rice Research Center (IRRI).

The CI webinar is part of a series of webinars co-organized by EiB and AGG. Forthcoming sessions will cover assessing genetic gains and other topics.

This story was originally posted on the CGIAR Excellence in Breeding Platform website.

Farmer speaks on mobile phone in field.

Creating impact through wider data sharing

Written by Nima Chodon on . Posted in News.

Farmer speaks on mobile phone in field.
Farmer speaks on his mobile phone in Bihar, India. (Photo: M. DeFreese/CIMMYT)

The Bihar Convergence Platform for agriculture, a synergistic partnership to innovate and initiate targeted interventions that help farmers to have informed choices with proven scientific recommendations, has been consistently working to accelerate interventions and improve the lives and capacity of small and marginal farmers since its establishment in October 2019.

The Cereal Systems Initiative for South Asia (CSISA), in association with CABI and the Open Data Institute, hosted a six-day virtual interactive training in September for platform members on the theme “creating impact through wider data sharing.” The training aimed at strengthening technical expertise of the participants, creating an enabling environment to unlock the benefits of data sharing and developing space for participants to discuss, brainstorm and co-design initiatives to be implemented together by the platform in coming days.

The training ended with a common understanding about the challenges and constraints in agriculture because data is in silos. Furthermore, participants agreed on the need to look at the existing data with a broader lens to accelerate the pace of development in agriculture in the state. Participants expressed that sharing the data under set norms with standardized licensing could act as a catalyst to increase the benefits for smallholder farmers.

To constructively deal with the challenges in agriculture together, the platform members stressed the need to start analyzing existing data from a wider perspective and data sharing as the key for designing fact-based interventions for larger good and impact.

Platform members interact during virtual training.
Platform members interact during virtual training. (Photo: Sugandha Munshi/CIMMYT)

The platform is chaired by the Vice Chancellor of Bihar Agriculture University, with key members from Bihar Rural Livelihood Promotion Society known as Jeevika, Bihar Agriculture University, Dr Rajendra Prasad Central Agriculture University, Agriculture Technology Application Resource Institute, ICAR-RCER, and the CSISA project, along with private groups like IFFCO, Bayer, and ITC.

Out of the many activities jointly implemented by the platform, the Data Ecosystem is the key arena where the platform works together in strengthening the impact of data and incorporating them in accelerating quality interventions for farmers.

This story was first published on the CSISA website.