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New publications: Voicing demand for farm power

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., MĂŒller, 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-Gonzålez, 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., GĂŒler, 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.

Rust-resistant bread wheat varieties widely adopted in Ethiopia

Wheat fields in the Arsi highlands, Ethiopia, 2015. (Photo: CIMMYT/ Peter Lowe)
Wheat fields in the Arsi highlands, Ethiopia, 2015. (Photo: CIMMYT/ Peter Lowe)

A state-of-the-art study of plant DNA provides strong evidence that farmers in Ethiopia have widely adopted new, improved rust-resistant bread wheat varieties since 2014.

The results — published in Nature Scientific Reports — show that nearly half (47%) of the 4,000 plots sampled were growing varieties 10 years old or younger, and the majority (61%) of these were released after 2005.

Four of the top varieties sown were recently-released rust-resistant varieties developed through the breeding programs of the Ethiopian Institute for Agricultural Research (EIAR) and the International Maize and Wheat Improvement Center (CIMMYT).

Adoption studies provide a fundamental measure of the success and effectiveness of agricultural research and investment. However, obtaining accurate information on the diffusion of crop varieties remains a challenging endeavor.

DNA fingerprinting enables researchers to identify the variety present in samples or plots, based on a comprehensive reference library of the genotypes of known varieties. In Ethiopia, over 94% of plots could be matched with known varieties. This provides data that is vastly more accurate than traditional farmer-recall surveys.

This is the first nationally representative, large-scale wheat DNA fingerprinting study undertaken in Ethiopia. CIMMYT scientists led the study in partnership with EIAR, the Ethiopian Central Statistical Agency (CSA) and Diversity Array Technologies (DArT).

“When we compared DNA fingerprinting results with the results from a survey of farmers’ memory of the same plots, we saw that only 28% of farmers correctly named wheat varieties grown,” explained Dave Hodson, a principal scientist at CIMMYT and lead author of the study.

The resulting data helps national breeding programs adjust their seed production to meet demand, and national extension agents focus on areas that need better access to seed. It also helps scientists, policymakers, donors and organizations such as CIMMYT track their impact and prioritize funding, support, and the direction of future research.

“These results validate years of international investment and national policies that have worked to promote, distribute and fast-track the release of wheat varieties with the traits that farmers have asked for — particularly resistance to crop-destroying wheat rust disease,” said Hodson.

Ethiopia is the largest wheat producer in sub-Saharan Africa. The Ethiopian government recently announced its goal to become self-sufficient in wheat, and increasing domestic wheat production is a national priority.

Widespread adoption of these improved varieties, demonstrated by DNA fingerprinting, has clearly had a positive impact on both economic returns and national wheat production gains. Initial estimates show that farmers gained an additional 225,500 tons of production — valued at $50 million — by using varieties released after 2005.

The study results validate investments in wheat improvement made by international donor agencies, notably the Bill & Melinda Gates Foundation, the Ethiopian government, the UK Foreign, Commonwealth and Development Office (FCDO, formerly DFID), the US Agency for International Development (USAID) and the World Bank. Their success in speeding up variety release and seed multiplication in Ethiopia is considered a model for other countries.

“This is good news for Ethiopian farmers, who are seeing better incomes from higher yielding, disease-resistant wheat, and for the Ethiopian government, which has put a high national priority on increasing domestic wheat production and reducing dependence on imports,” said EIAR Deputy Director General Chilot Yirga.

The study also confirmed CGIAR’s substantial contribution to national breeding efforts, with 90% of the area sampled containing varieties released by Ethiopian wheat breeding programs and derived from CIMMYT and the International Center for Agricultural Research in the Dry Areas (ICARDA) germplasm. Varieties developed using germplasm received from CIMMYT covered 87% of the wheat area surveyed.

“This research demonstrates that DNA fingerprinting can be applied at scale and is likely to transform future crop varietal adoption studies,” said Kindie Tesfaye, a senior scientist at CIMMYT and co-author of the study. “Additional DNA fingerprinting studies are now also well advanced for maize in Ethiopia.”

This research is supported by the Bill and Melinda Gates Foundation and CGIAR Fund Donors. Financial support was provided through the “Mainstreaming the use and application of DNA Fingerprinting in Ethiopia for tracking crop varieties” project funded by the Bill & Melinda Gates Foundation (Grant number OPP1118996).

RELATED PUBLICATIONS:

Ethiopia’s Transforming Wheat Landscape: Tracking Variety Use through DNA Fingerprinting

FOR FURTHER INFORMATION OR INTERVIEW REQUESTS:

Dave Hodson, International Maize and Wheat Improvement Center (CIMMYT), d.hodson@cgiar.org

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

The beginning of a beautiful partnership

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)

Critical reflections on COVID-19

The COVID-19 global health crisis has disrupted food and agricultural systems around the world, affecting food production, supply chains, trade and markets, as well as people’s livelihoods and nutrition. Following an initial assessment in May 2020, the Food and Agriculture Organization of the United Nations (FAO) joined the International Fund for Agricultural Development (IFAD), the International Maize and Wheat Improvement Center (CIMMYT) and other CGIAR centers to conduct a comprehensive assessment of the impacts of the COVID-19 pandemic on Bangladesh’s agri-food system.

The report shares critical reflections and lessons learned, as well as providing detailed quantitative and qualitative information on all disruption pathways and possible recovery strategies.

According to the research team, the major visible impact was the decline of food demand due to the disruption of value chain actors in the food market and income shortages, especially among low- and daily wage-earning populations. This reduced demand lead in turn to reduced prices for agricultural goods, particularly perishable food items like vegetables, livestock and fish products.

Additionally, constraints on the movement of labor led to a disruption in agricultural services, including machinery and extension services, while domestic and international trade disruptions created input shortages and lead to price volatilities which increased production costs. This increase, coupled with reductions in production and output prices, essentially wiped farmer profits.

A farmer takes maize grain to a local reserve in Bangladesh. (Photo: Fahad Kaizer/FAO)
A farmer takes maize grain to a local reserve in Bangladesh. (Photo: Fahad Kaizer/FAO)

Building back a better food system

The latest report was launched at the same time as the CGIAR COVID-19 Hub in Bangladesh, which aims to build local resilience to the effects of the pandemic and support government-led recovery initiatives. At a panel discussion presenting the results of the assessment, researchers emphasized the importance of social safety net mechanisms and food demand creation, as well as the need for strong monitoring of food systems to ensure continued availability and affordability, and early detection of any critical issues.

The discussion centered on the need for public access to trustworthy information in order to raise awareness and instill confidence in the food they consume. One key recommendation which emerged is facilitating the digitalization of farming, which looks to re-connect farmers and consumers and build the food system back better. The accelerated development of digital platforms connecting farmers to markets with contactless delivery systems can ensure the safer flow of inputs and outputs while generating a higher share of consumer money for farmers. There is also a need to explore green growth strategies for reducing food waste — the creation and distribution of improved food storage systems, for instance — and circular nutrient initiatives to better utilize food waste as feed and bio manure.

Read the full report “Second rapid assessment of food and nutrition security in the context of COVID-19 in Bangladesh, May – July 2020”

A catastrophe avoided

There are decades when nothing happens and weeks when decades happen. So goes the old saw. In the social sciences, these “weeks” are often referred to as critical junctures. They are moments when the old rules of the game — the long-established ways of doings things — go out the window and new patterns begin to emerge. The breadbasket states of northwestern India seem to be having one of those weeks.

After years of research and advocacy that appeared to be making little headway, researchers at the International Maize and Wheat Improvement Center (CIMMYT) and the Indian Council of Agricultural Research (ICAR) are seeing a sudden and dramatic increase in the adoption of some of the technologies and techniques they have long argued are necessary in this region, including direct-seeding of rice, crop diversification and the adoption of Happy Seeder technology.

A case of unintended consequences

In March 2020 the Indian government decreed a national lockdown in response to the COVID-19 crisis. This triggered the largest internal migration since partition, as millions of migrant workers and day laborers scrambled to return to their home villages. Estimates suggest that up to 1 million workers left the northwestern states of Haryana and Punjab alone.

Agriculture in the region is dominated by the labor- and input-intensive production of rice and wheat in rotation. This system is the most productive per hectare in India, but it is also extremely sensitive to external shocks. The success of both the rice and wheat crop depend on the timely transplantation of rice in mid-June.

As the results of a recently published study demonstrate, delays in this schedule can have devastating downstream effects not only on rice and wheat yields, but on regional air quality too. Models of the worst-case delay scenario predicted a total economic loss of nearly $1.5 billion. Moreover, they predicted that, if no action were taken, up to 80% of rice residue would be burned later in the autumn, when cooler conditions contribute to seasonally poor air quality.

Such an exacerbation of the region’s air pollution would be dire under normal conditions. During a global pandemic of a primarily respiratory illness, it could be devastating.

Fortunately, solutions and technologies that CIMMYT researchers had been studying for decades, along with ICAR, Punjab Agricultural University (PAU) and other national partners, promised to help ward off the worst effects of the crisis. The adoption of direct-seeding technology could help reduce the labor-intensiveness of rice production, crop diversification could minimize the economic impacts of the crisis, and the use of Happy Seeder technology could alleviate the practice of residue burning.

A farmer burns rice residues after harvest to prepare the land for wheat planting around Sangrur, Punjab, India. (Photo: Neil Palmer/CIAT)
A farmer burns rice residues after harvest to prepare the land for wheat planting around Sangrur, Punjab, India. (Photo: Neil Palmer/CIAT)

Decades of work pay off

The study, co-authored by researchers at CIMMYT, ICAR and the International Rice Research Institute (IRRI), relied on a sophisticated ex ante model of four different rice-transplanting delay scenarios. It is published in the November 2020 issue of Agricultural Systems.

However, given the time-sensitivity and high-stakes of the issue, the lead researchers did not wait for the articles publication to press their case. Earlier this year they circulated their initial findings and recommendations to policymakers via their national partners. Notably, after receiving a one-pager summarizing these, the Chief Minister of Punjab released a video address echoing their points.

“Policymakers realized the need for these kinds of solutions,” says Balwinder Singh, a CIMMYT scientist and lead author of the paper. They then moved quickly to incentivize their adoption through various mechanisms, such as subsidizing direct-seeding drills and ensuring the timely availability of machines and other inputs.

This year, 500,000 hectares were converted to direct seeding, explains M.L. Jat, a principal scientist at CIMMYT. This represents 34% more area converted in 2020 alone than in the previous 10 years. Additionally, 330,000 hectares were converted to other crops, principally cotton, maize and legumes.

Singh and Jat have been carrying out a multi-year survey to assess farmer willingness to adopt Happy Seeder technology and have documented a drastic increase in farmer interest in the technology during 2020. For Jat, this highlights the power of partnerships. “If you don’t include your partners from the beginning, they will not own what you say,” he argues.

Such changes are to be celebrated not only as an important response to the current labor shortage, but also as key to ensuring the long-term sustainability of agricultural production in the region, having important implications for the stewardship of water resources, air pollution and soil health.

“Policies encouraging farming practices that save resources and protect the environment will improve long-term productivity and sustainability of the nation,” says S. K. Chaudhari, deputy director general for Natural Resource Management at ICAR.

A farmer in India uses a tractor fitted with a Happy Seeder. (Photo: Dakshinamurthy Vedachalam/CIMMYT)
A farmer in India uses a tractor fitted with a Happy Seeder. (Photo: Dakshinamurthy Vedachalam/CIMMYT)

Warding off catastrophe

Although the agricultural cycle is not yet over, and early data are still partial, Singh and Jat estimate that thanks to the dramatic adoption of alternative agricultural practices this year, their worst-case estimates have been avoided. Given the rapid response from both policymakers and farmers, the real-world effects of the COVID-19 labor crisis are likely closer to the mid-range severity scenarios of their analysis. Indeed, early estimates predict no rice yield losses and minor-to-no wheat yield losses over baseline. For the researchers, the relief is palpable and the lessons couldn’t be clearer.

“These technologies were there for decades, but they were never appreciated because everything was normal,” says Jat. “This clearly indicates a need for investment in the technology and the research. You may encounter a problem at any time, but you cannot generate the technology overnight.”

What can the last 30 years of research tell us?

A farmer in Morogoro, Tanzania, discusses differences in his maize ears caused by differences in on-farm conditions. (Photo: Anne Wangalachi/CIMMYT)
A farmer in Morogoro, Tanzania, discusses differences in his maize ears caused by differences in on-farm conditions. (Photo: Anne Wangalachi/CIMMYT)

Global climate change represents an existential threat to many of the world’s most vulnerable farmers, introducing new stresses and amplifying the unpredictability and risk inherent in farming. In low- and middle-income countries that are heavily reliant on domestic production, this increased risk and unpredictability threatens disastrous consequences for the food security and wellbeing of rural and urban populations alike.

Given the stakes, substantial investments have been made towards developing climate-resilient crops. But what happens when the innovations widely considered to be beneficial don’t gain traction on the ground, among those who stand to lose the most from inaction? What can researchers, policymakers and funders do to ensure that the most vulnerable rural populations don’t lose out on the benefits?

These are the questions posed by a new scoping review co-authored by Kevin Pixley, interim deputy director general for research and partnerships and director of the Genetic Resources Program at the International Maize and Wheat Improvement Center (CIMMYT).

The paper relies on a descriptive analysis of 202 studies from the past 30 years which assess the determinants of climate-resilient crop adoption by small-scale producers in low- and middle-income countries. These were identified through an extensive search and screening process of multiple academic databases and grey literature sources, and selected from an initial pool of over 6,000 articles.

Taking stock

The authors identified interventions determining adoption across the literature surveyed. A key theme which emerged was the need for context-sensitive technical and financial support for climate-resilient crop adoption. Nearly 16% of the studies found that adoption depended on access to relevant extension programs. Around 12% identified access to credit and other financial instruments as key, while a further 12% identified the implementation of community programs supporting climate-resilient crops as a determining factor.

However, the study stresses that there are no one-size-fits-all solutions. Increased adoption of climate-resilient agricultural innovations will depend on interventions being highly context informed. For example, the review shows that while some studies identified older farmers as more reluctant to adopt new technologies, an equal number of studies found the opposite.

Moreover, the review identified important opportunities for further research. Gender-based approaches, for example, remain a blind spot in the literature. The majority of studies reviewed only included women if they were household heads, thus overlooking the role they may play in influencing the adoption of new agricultural technologies in male-headed households.

A community-based seed producer in Kiboko, Kenya, inspects her crop of drought-tolerant maize. (Photo: Anne Wangalachi/CIMMYT)
A community-based seed producer in Kiboko, Kenya, inspects her crop of drought-tolerant maize. (Photo: Anne Wangalachi/CIMMYT)

Driving evidence-based policymaking

The review was published as part of a collection of 10 research papers produced as part of Ceres2030: Sustainable Solutions to End Hunger. The project, a partnership between Cornell University, the International Food Policy Research Institute (IFPRI) and the International Institute for Sustainable Development (IISD), distills decades of scientific and development research into a clear menu of policy options for funders committed to achieving the UN’s Sustainable Development Goal 2: Ending world hunger by 2030.

The full collection of papers was published on October 12 across various Nature Research journals.

Speaking at a German government event on achieving Sustainable Development Goal 2, Bill Gates praised the Ceres2030 initiative, noting that “nothing on this scale has ever been done because we lacked the tools to analyze this complex information. But with the new research, solid evidence will drive better policymaking.”

He went on to highlight the CGIAR’s leadership role in these efforts, saying: “The CGIAR system is a key global institution that is investing in these approaches. It’s a critical example of how innovation can lead the way.”

Digital revolution can transform agri-food systems

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

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 GardeazĂĄbal transforms data into meaningful information

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, GardeazĂĄbal 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?

GardeazĂĄbal 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 GardeazĂĄbal merges ICT tools with monitoring, evaluation, accountability and learning to improve project design.
Andrea GardeazĂĄbal merges ICT tools with monitoring, evaluation, accountability and learning to improve project design. (Photo: Francisco AlarcĂłn/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. GardeazĂĄbal 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, GardeazĂĄbal 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.

International Wheat Yield Partnership launches European Winter Wheat Hub

Building on a wealth of existing investment in UK wheat research and development, including the UK Research and Innovation BBSRC-funded Designing Future Wheat programme (DFW), the International Wheat Yield Partnership (IWYP) has formed a new European Winter Wheat Hub that will accelerate research discoveries from the UK and globally into commercial plant breeding.

A public-private partnership, the IWYP-European Winter Wheat Hub will combine novel traits discovered by collaborative international teams into a range of high performing European winter wheat genetic backgrounds for assessment and use in winter wheat breeding programs.

The global agriculture companies BASF, KWS, RAGT and Syngenta, in collaboration with the UK National Institute for Agricultural Botany (NIAB), will provide a translational pipeline supporting European winter wheat improvement. In partnership with IWYP, commercial breeders will select key genetic discoveries of potential value for the European wheat community from global IWYP research projects. NIAB will then use its expertise in pre-breeding to produce genetic material for the validation and development of selected IWYP research outputs.

Joining the wider existing IWYP Hub Network of large translational pipelines operating on spring wheat at CIMMYT (the International Maize and Wheat Improvement Centre) in Mexico and the recently established NIFA-IWYP Winter Wheat Breeding Innovation Hub at Kansas State University, USA, the IWYP-European Winter Wheat Hub will ensure that cutting-edge discoveries are rapidly available to both the participating wheat breeders and to the global wheat breeding community.

“This is another excellent example of how public-private partnerships (such as the DFW, the Wheat Initiative and IWYP) can work well at both the international and national level,” said Chris Tapsell from KWS, who is leading the IWYP-European Winter Wheat Hub development.

“And this hub will help ensure that the hard work of the IWYP researchers around the world will deliver impacts that address the twin challenges of increasing wheat production for food security whilst protecting the environment.”

Jeff Gwyn, who leads the IWYP program said, “The addition of this new hub further strengthens the IWYP Hub Network and enables the development of our innovations to reach a wider industry base more rapidly. It is critical for IWYP to have its research outputs taken up and utilized for the public good. Public-private partnerships such as this further demonstrate that the IWYP initiative is filling a significant gap and creating value.”

Tina Barsby, CEO of NIAB commented, “NIAB has a strong track record in pre-breeding of wheat and particularly in working closely with commercial breeders to bring new variability to the market. We are really looking forward to helping to advance IWYP project traits into breeding programs.”

This press release was originally posted on the website of the International Wheat Yield Partnership.

The IWYP program is based on an innovative model for public funding and international scientific collaboration to address the global grand challenge of food, nutritional and economic security for the future. The model employs public-private partnerships to scale and drive its research innovations for impact. Operations require active coordination of the international research and development teams whose discovery research focuses on complementary and overlapping sets of potentially high impact novel trait targets deemed likely to underpin yield increases, such as the regulation of photosynthesis, optimal plant architecture, plant biomass distribution, and grain number and size. As the results emerge, it is possible to envisage how to combine them and therefore simultaneously remove multiple constraints affecting yields in farmers’ fields. https://iwyp.org/

NIAB is an independent plant biosciences organisation working to translate fundamental research into innovative solutions and products for the agricultural sector. The IWYP-European Winter Wheat Hub will leverage established expertise in wheat genetics and breeding at NIAB, including newly developed glasshouse and molecular laboratory facilities.
https://www.niab.com/

BASF, KWS, RAGT and Syngenta are innovation-led leaders in the wheat breeding industry, developing varieties that deliver consistent year-on-year genetics gain for the benefit of wheat growers throughout Europe and North America. All companies are active members of IWYP and launched this initiative to speed up and ensure the effective utilization of deliverables from IWYP research projects, which are funded by partners across the globe including the BBSRC in the UK.
www.kws.com
www.ragt.fr
www.basf.com
www.syngenta.com

Webinar explores continuous improvement approach to plant breeding

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.

CIMMYT releases its first ever maize genetic resource lines

Maize and wheat fields at CIMMYT's El BatĂĄn experimental station.
Maize and wheat fields at CIMMYT’s El BatĂĄn experimental station. (Photo: Alfonso CortĂ©s/CIMMYT)

The International Maize and Wheat Improvement Center (CIMMYT) is pleased to announce the release of a new category of maize inbred lines called CIMMYT Maize Genetic Resource Lines (CMGRL). The CMGRLs are derived from crosses between elite CIMMYT lines and landrace accessions, populations or synthetics from the CIMMYT Germplasm Bank.

Although high standards of yield and agronomic performance are applied in their selection, CMGRLs are not intended to be used directly in commercial hybrids but rather by breeders as sources of novel alleles for traits of economic importance. These lines should also be of interest to maize researchers who are not breeders but are studying the underlying genetic mechanisms of abiotic and biotic traits.

A tar spot disease resistant line next to a non-resistant line.
A tar spot disease resistant line next to a non-resistant line. (Photo: Terry Molnar/CIMMYT)

Currently the maize genetic resources breeding team has projects in drought tolerance, heat tolerance, tar spot complex (TSC) disease resistance and in the development of lines and hybrids with blue kernel color. For all of these projects, the best lines identified for a given trait objective will be recombined to produce open-pollinated varieties that will be made available to the public.

The inaugural class of CMGRLs includes five subtropical adapted lines for tolerance to drought during flowering and grain-fill and four tropical adapted lines for TSC resistance. Both phenotypic and genotypic data will be published online for all CMGRL releases. CIMMYT will periodically release CMGRLs as superior lines are identified for economically important abiotic and biotic stresses as well as end-use traits.

Release Summary:

CMGRL Name Trait Target Type Level Landrace Donor Parent Landrace Country of Origin Recurrent Parent Heterotic Group Adaptation
CMGRLB001 TSC resistance BC1 S5 OAXA280 Mexico CML576 B Tropical
CMGRLB002 TSC resistance BC1 S5 OAXA280 Mexico  CML576 B Tropical
CMGRLB003 TSC resistance BC1 S5 GUAT153 Guatemala  CML576 B Tropical
CMGRLB004 TSC resistance BC1 S5 GUAT153 Guatemala  CML576 B Tropical
CMGRLB005 Drought tolerance BC1 S5 ARZM12193 Argentina  CML376 B Subtropical
CMGRLB006 Drought tolerance BC1 S5 ARZM12237 Argentina CML376 B Subtropical
CMGRLB007 Drought tolerance BC1 S5 SNLP169 Mexico CML376 B Subtropical
CMGRLB008 Drought tolerance BC1 S5 SNLP17 Mexico CML376 B Subtropical
CMGRLB009 Drought tolerance BC1 S5 SNLP17 Mexico CML376 B Subtropical

 

Full details including phenotypic and genotypic data on the nine lines are available here. To order a 50-kernel seed sample of the CMGRLs, please contact Terry Molnar.

Beyond breeding: the potential of improved postharvest storage techniques for smallholder farmers

In the early days of organizations like the International Maize and Wheat Improvement Center (CIMMYT), the answer to improving global food security was obvious. Help people grow more food. Today the situation is far more complex. Many exciting developments in breeding are either protective or corrective in nature. Stress-tolerant seed varieties are meant to help protect against the worst effects of global climate change. Efforts to develop widely cultivatable, high-yielding varieties based on local landraces seek to reintroduce some of the biodiversity lost through the runaway success of just a handful of commercial varieties.

Yet problems of food insecurity and poverty persist, not least among smallholders. The good news is that it is precisely among these farmers that important gains remain to be made, especially if we consider the many steps from planting to final consumption where technical and processual improvements can be made. “Just having a seed is not sufficient,” said CIMMYT postharvest specialist Sylvanus Odjo. “Of course having good seed is important, but you also need good agronomic practices.”

Globally, Odjo pointed out, one third of agricultural production is lost in the postharvest phase. In tropical Mexico, postharvest losses among smallholder maize farmers can reach up to 40%.

As the recently published findings of a two-year-long research project led by CIMMYT researchers show, such losses are entirely avoidable. The study, which was conducted in 2017 and 2018 across dozens of sites in Mexico representing a broad range of altitudes and ecologies, tested multiple storage technologies to determine which are most effective at avoiding postharvest losses using real-world smallholder practices and regardless of climatic and environmental factors.

Men fill hermetic metal silo.
Filling hermetic metal silo in Peto, YucatĂĄn. (Photo: CIMMYT)

Researchers compared storage outcomes using conventional methods such as storing untreated maize in 50 kg polypropylene bags, storing maize in polypropylene bags and treating it with one of various agents — including aluminum phosphide, deodorized malathion or inert dusts — and hermetic storage options such as hermetic metal silos, two types of GrainPro hermetic plastic bags, and low-cost alternatives like plastic bottles and silage bags.

Under controlled conditions, they found that loss outcomes were highly variable for conventionally stored maize, with or without treatment agents. While untreated grain stored in polypropylene bags in temperate conditions at Texcoco only exhibited only 2.2% insect-damaged maize, grain treated with aluminum phosphide and stored in conventional bags in tropical conditions at CotzocĂłn suffered 46.3% insect damage.

In contrast, maize stored in low-cost hermetic alternatives such as plastic bottles and silage bags exhibited a maximum of 1.2% insect-damaged grain across all sites. Hermetic metal silos and GrainPro bags performed similarly well across climates, with a couple of important exceptions. The percentage of insect-damaged grain for maize stored in hermetic metal silos at ZacaultipĂĄn was 13.5%. Maize stored in GrainPro bags at this site suffered 8.1% insect damage.

Overall, the study convincingly demonstrated the effectiveness of hermetic storage technologies at minimizing insect and mycotic damage as well as weight loss of stored maize regardless of climate or altitude. However, important obstacles to the effective adoption of the technologies remains. In the case of the hermetic metal silos, it was determined that despite the existence of a stringent national norm for their construction in Mexico, silos occasionally did not meet the national standard and had to retrofitted to ensure hermeticity. And, as the example of ZacaultipĂĄn demonstrated, poor pre-storage processing of grain can compromise the effectiveness of hermetic storage technologies.

Maize storage.
CIMMYT researchers tested multiple storage technologies to determine which are most effective at avoiding postharvest losses. (Photo: CIMMYT)

Over the course of carrying out the experiment, the researchers discovered other challenges. In Mexico, as is often true among smallholders globally, women are largely in charge of postharvest activities. “But we noticed that it was largely men who showed up to the trainings,” Odjo said. Researchers had to think of strategies—from being more careful about meeting timings to enlisting the support of local women leaders—to ensure that the trainings were reaching the women who actually carry out this work.

As Odjo pointed out, resolving these kinds of implementation and advocacy challenges—from ensuring adequate training and familiarity with the technologies on the ground to encouraging public and private sector partners to make the technologies more broadly available—is the next step for the project. “The less complex part of this work is the technical part,” he said. “Our job now at CIMMYT is to bring these innovations to farmers… We need to get all the relevant stakeholders involved in the game.”

The project was carried out in partnership with the Mexican government via MasAgro, and received funding from the CGIAR Research Program on Maize (MAIZE). Its implementation involved collaboration with dozens of local partners throughout Mexico and was carried out in response to the suggestions of smallholder farmers.

Read the full paper: Hermetic storage technologies reduce maize pest damage in smallholder farming systems in Mexico

This story was originally published on the MAIZE website.

Cover image: Evaluating grain quality after six months of storage in Venustiano Carranza, Chiapas. (Photo: CIMMYT)

Creating impact through wider data sharing

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.

Somalia agriculture partners learn about integrated fall armyworm control practices

Fall armyworm continues to cause havoc in Africa. Farmers in Somalia have not been spared since this unwelcome guest showed up in the country over three years ago. As part of the mitigation measures, the Somali Agriculture Technical Group (SATG) in partnership with the International Maize and Wheat Improvement Center (CIMMYT) and the International Committee of the Red Cross (ICRC) recently conducted online trainings on fall armyworm management for sustainable crop protection. The online trainings, targeting national agriculture stakeholders in the country, took place on August 25 and September 30, 2020, with nearly 250 participants attending both webinars.

“This is the first of our efforts to reach out to our partners in Somalia, especially the Somali Agriculture Technical Group and the national agricultural research system, to increase the awareness on the integrated pest management approaches that can help combat this highly destructive pest,” said B.M. Prasanna, Director of CIMMYT’s Global Maize Program and the CGIAR Research Program on Maize (MAIZE).

“This training was designed to help participants to gain a better understanding about fall armyworm, how to identify it, how to monitor and scout for it, how to effectively implement a management strategy that is environmentally and ecologically benign, in order to protect the food security and livelihoods of farmers and their families,” Prasanna said.

An integrated pest management strategy for sustainable control of fall armyworm should consider various interventions, including regular scouting and monitoring of the pest in the fields, host plant resistance, biological and biorational control, agroecological management, and use of environmentally safer pesticides and good agronomic practices tailored for the socio-cultural and economic contexts of the farmers. Ultimately, the purpose of a functional integrated pest management approach is to suppress pest population by applying techniques that minimize human and environmental harm, while protecting the crops from economic damage.

“I am happy to see the expertise from high levels of research at CIMMYT, icipe, IITA, universities, SATG and the humanitarian sector coming together to tackle and solve problems linked to food production and consumption. I believe that such important trainings have great value for Somalia, and should be further strengthened and encouraged,” said Abdalla Togola from the ICRC.

B.M. Prasanna presents at training.
B.M. Prasanna, Director of CIMMYT Global Maize Program and the CGIAR Research Program MAIZE, presents at the online training on integrated pest management-based fall armyworm control. (Photo: Joshua Masinde/CIMMYT)
Hussein Haji presents at training.
Hussein Haji, the Executive Director of Somali Agriculture Technical Group speaks at the fall armyworm online training on integrated pest management-based fall armyworm control. (Photo: Joshua Masinde/CIMMYT)
Professor Dan McGrath presents at training.
Professor Dan McGrath of Oregon State University, USA, delivering a training on integrated pest management-based fall armyworm control. (Photo: Joshua Masinde/CIMMYT)
John Karonga presents at training.
John Karonga, an agronomist at the International Committee of the Red Cross (ICRC) speaks at the online training on integrated pest management-based fall armyworm control. (Photo: Joshua Masinde/CIMMYT)

Hussein Haji, the Executive Director of SATG was optimistic that the training would go a long way to empower farmers in Somalia, through their cooperatives, and could lead to better ways of tackling challenges such as fall armyworm, already made worse by other stresses like drought and desert locusts.

“Through our extension workers, we hope this information will trickle down to our cooperatives, who produce mainly maize and sorghum seed in Somalia,” he added.

This comes on the back of a partnership between the ICRC and SATG to implement activities intended to improve food production among rural communities in six regions of Somalia. The partnership would enhance quality seed production with a focus on maize and sorghum, the major staple crops in the country.

Besides Prasanna, the key resource persons included Dan McGrath (Professor Emeritus, Oregon State University, USA), Joseph Huesing (CIMMYT Consultant on integrated pest management) and Georg Goergen (Entomologist, International Institute of Tropical Agriculture), Frederic Baudron (CIMMYT Systems Agronomist), Anani Bruce (CIMMYT Entomologist), Yoseph Beyene (CIMMYT Regional Breeding Coordinator for Africa) and Saliou Niassy (Head of Agricultural Technology Transfer Unit, International Center of Insect Physiology and Ecology).

The fall armyworm, a voracious caterpillar officially reported for the first time in Africa in Nigeria in 2016, remains a serious pest with devastating consequences on millions of farmers’ food and livelihood security. The pest has spread quickly throughout sub-Saharan Africa, primarily attacking maize and sorghum, two main staple crops in the region. The Food and Agriculture Organization of the United Nations (FAO) estimates up to 18 million tons of maize are lost to the pest annually, at an estimated economic loss of $4.6 billion.

To reduce the losses, experts have been recommending a toolbox of integrated pest management (IPM) practices to minimize the damage on smallholder farmers’ fields. Scientists at CIMMYT are also working intensively to develop improved maize varieties with native genetic resistance to this devastating insect pest.

Cover photo: Kowthar Abdirahman Afyare studies agriculture at the Somali National University. (Photo: AMISOM Public Information)

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