Skip to main content

research: Data services

Enhancing the resilience of our farmers and our food systems: global collaboration at DialogueNEXT

“Achieving food security by mid-century means producing at least 50 percent more food,” said U.S. Special Envoy for Global Food Security, Cary Fowler, citing a world population expected to reach 9.8 billion and suffering the dire effects of violent conflicts, rising heat, increased migration, and dramatic reductions in land and water resources and biodiversity. “Food systems need to be more sustainable, nutritious, and equitable.”

CIMMYT’s 2030 Strategy aims to build a diverse coalition of partners to lead the sustainable transformation of agrifood systems. This approach addresses factors influencing global development, plant health, food production, and the environment. At DialogueNEXT, CIMMYT and its network of partners showcased successful examples and promising directions for bolstering agricultural science and food security, focusing on poverty reduction, nutrition, and practical solutions for farmers.

Without healthy crops or soils, there is no food

CIMMYT’s MasAgro program in Mexico has enhanced farmer resilience by introducing high-yielding crop varieties, novel agricultural practices, and income-generation activities. Mexican farmer Diodora Petra Castillo Fajas shared how CIMMYT interventions have benefitted her family. “Our ancestors taught us to burn the stover, degrading our soils. CIMMYT introduced Conservation Agriculture, which maintains the stover and traps more humidity in the soil, yielding more crops with better nutritional properties,” she explained.

CIMMYT and African partners, in conjunction with USAID’s Feed the Future, have begun applying the MasAgro [1] model in sub-Saharan Africa through the Feed the Future Accelerated Innovation Delivery Initiative (AID-I), where as much as 80 percent of cultivated soils are poor, little or no fertilizer is applied, rainfed maize is the most widespread crop, many households lack balanced diets, and erratic rainfall and high temperatures require different approaches to agriculture and food systems.

The Food and Agriculture Organization of the United Nations (FAO) and CIMMYT are partnering to carry out the Vision for Adapted Crops and Soils (VACS) movement in Africa and Central America. This essential movement for transforming food systems endorsed by the G7 focuses on crop improvement and soil health. VACS will invest in improving and spreading 60 indigenous “opportunity” crops—such as sorghum, millet, groundnut, pigeon pea, and yams, many of which have been grown primarily by women—to enrich soils and human diets together with the VACS Implementers’ Group, Champions, and Communities of Practice.

The MasAgro methodology has been fundamental in shaping the Feed the Future Southern Africa Accelerated Innovation Delivery Initiative (AID-I) Rapid Delivery Hub, an effort between government agencies, private, and public partners, including CGIAR. AID-I provides farmers with greater access to markets and extension services for improved seeds and crop varieties. Access to these services reduces the risk to climate and socioeconomic shocks and improves food security, economic livelihoods, and overall community resilience and prosperity.

Healthy soils are critical for crop health, but crops must also contain the necessary genetic traits to withstand extreme weather, provide nourishment, and be marketable. CIMMYT holds the largest maize and wheat gene bank, supported by the Crop Trust, offering untapped genetic material to develop more resilient varieties from these main cereal grains and other indigenous crops. Through the development of hardier and more adaptable varieties, CIMMYT and its partners commit to implementing stronger delivery systems to get improved seeds for more farmers. This approach prioritizes biodiversity conservation and addresses major drivers of instability: extreme weather, poverty, and hunger.

Food systems must be inclusive to combat systemic inequities

Successful projects and movements such as MasAgro, VACS, and AID-I are transforming the agricultural landscape across the Global South. But the urgent response required to reduce inequities and the needed investment to produce more nutritious food with greater access to cutting-edge technologies demands inclusive policies and frameworks like CIMMYT’s 2030 Strategy.

“In Latin America and throughout the world, there is still a huge gap between the access of information and technology,” said Secretary of Agriculture and Livestock of Honduras, Laura Elena Suazo Torres. “Civil society and the public and private sectors cannot have a sustainable impact if they work opposite to each other.”

Ismahane Elouafi, CGIAR executive managing director, emphasized that agriculture does not face, “a lack of innovative science and technology, but we’re not connecting the dots.” CIMMYT offers a pathway to bring together a system of partners from various fields—agriculture, genetic resources, crop breeding, and social sciences, among others—to address the many interlinked issues affecting food systems, helping to bring agricultural innovations closer to farmers and various disciplines to solve world hunger.

While healthy soils and crops are key to improved harvests, ensuring safe and nutritious food production is critical to alleviating hunger and inequities in food access. CIMMYT engages with private sector stakeholders such as Bimbo, GRUMA, Ingredion, Syngenta, Grupo Trimex, PepsiCo, and Heineken, to mention a few, to “link science, technology, and producers,” and ensure strong food systems, from the soils to the air and water, to transform vital cereals into safe foods to consume, like fortified bread and tortillas.

Reduced digital gaps can facilitate knowledge-sharing to scale-out improved agricultural practices like intercropping. The Rockefeller Foundation and CIMMYT have “embraced the complexity of diversity,” as mentioned by Roy Steiner, senior vice-president, through investments in intercropping, a crop system that involves growing two or more crops simultaneously and increases yields, diversifies diets, and provides economic resilience. CIMMYT has championed these systems in Mexico, containing multiple indicators of success from MasAgro.

Today, CIMMYT collaborates with CGIAR and Total LandCare to train farmers in southern and eastern Africa on the intercrop system with maize and legumes i.e., cowpea, soybean, and jack bean. CIMMYT also works with WorldVeg, a non-profit organization dedicated to vegetable research and development, to promote intercropping in vegetable farming to ensure efficient and safe production and connect vegetable farmers to markets, giving them more sources for greater financial security.

Conflict aggravates inequities and instability. CIMMYT leads the Feed the Future Sustainable Agrifood Systems Approach for Sudan (SASAS) which aims to deliver latest knowledge and technology to small scale producers to increase agricultural productivity, strengthen local and regional value chains, and enhance community resilience in war-torn countries like Sudan. CIMMYT has developed a strong partnership funded by USAID with ADRA, CIP, CRS, ICRISAT, IFDC, IFPRI, ILRI, Mercy Corps, Near East Foundation, Samaritan’s Purse, Syngenta Foundation, VSF, and WorldVeg, to devise solutions for Sudanese farmers. SASAS has already unlocked the potential of several well-suited vegetables and fruits like potatoes, okra, and tomatoes. These crops not only offer promising yields through improved seeds, but they encourage agricultural cooperatives, which promote income-generation activities, gender-inclusive practices, and greater access to diverse foods that bolster family nutrition. SASAS also champions livestock health providing food producers with additional sources of economic resilience.

National governments play a critical role in ensuring that vulnerable populations are included in global approaches to strengthen food systems. Mexico’s Secretary of Agriculture, Victor Villalobos, shared examples of how government intervention and political will through people-centered policies provides greater direct investment to agriculture and reduces poverty, increasing shared prosperity and peace. “Advances must help to reduce gaps in development.” Greater access to improved agricultural practices and digital innovation maintains the field relevant for farmers and safeguards food security for society at large. Apart from Mexico, key government representatives from Bangladesh, Brazil, Honduras, India, and Vietnam reaffirmed their commitment to CIMMYT’s work.

Alice Ruhweza, senior director at the World Wildlife Fund for Nature, and Maria Emilia Macor, an Argentinian farmer, agreed that food systems must adopt a holistic approach. Ruhweza called it, “The great food puzzle, which means that one size does not fit all. We must integrate education and infrastructure into strengthening food systems and development.” Macor added, “The field must be strengthened to include everyone. We all contribute to producing more food.”

Generating solutions, together

In his closing address, which took place on World Population Day 2024, CIMMYT Director General Bram Govaerts thanked the World Food Prize for holding DialogueNEXT in Mexico and stressed the need for all partners to evolve, while aligning capabilities. “We have already passed several tipping points and emergency measures are needed to avert a global catastrophe,” he said. “Agrifood systems must adapt, and science has to generate solutions.”

Through its network of research centers, governments, private food producers, universities, and farmers, CIMMYT uses a multidisciplinary approach to ensure healthier crops, safe and nutritious food, and the dissemination of essential innovations for farmers. “CIMMYT cannot achieve these goals alone. We believe that successful cooperation is guided by facts and data and rooted in shared values, long-term commitment, and collective action. CIMMYT’s 2030 Strategy goes beyond transactional partnership and aims to build better partnerships through deeper and more impactful relationships. I invite you to partner with us to expand this collective effort together,” concluded Govaerts.

[1] Leveraging CIMMYT leadership, science, and partnerships and the funding and research capacity of Mexico’s Agriculture Ministry (SADER) during 2010-21, the program known as “MasAgro” helped over 300,000 participating farmers to adopt improved maize and wheat varieties and resource-conserving practices on more than 1 million hectares of farmland in 30 states of Mexico.

Visual summaries by Reilly Dow.

Harnessing econometric and statistical tools to support climate-resilient agriculture

Globally, climate extremes are adversely affecting agricultural productivity and farmer welfare. Farmers’ lack of knowledge about adaptation options may further exacerbate the situation. In the context of South Asia, which is home to rural farm-based economies with smallholder populations, tailored adaptation options are crucial to safeguarding the region’s agriculture in response to current and future climate challenges. These resilience strategies encompass a range of risk reducing practices such as changing the planting date, Conservation Agriculture, irrigation, stress-tolerant varieties, crop diversification, and risk transfer mechanisms, e.g., crop insurance. Practices such as enterprise diversification and community water conservation are also potential sector-specific interventions.

Atlas of Climate Adaptation in South Asian Agriculture (ACASA) aims to identify hazard-linked adaptation options and prioritize them at a granular geographical scale. While doing so, it is paramount to consider the suitability of adaptation options from a socioeconomic lens which varies across spatial and temporal dimensions. Further, calculation of scalability parameters such as economic, environmental benefit, and gender inclusivity for prioritized adaptation are important to aid climatic risk management and developmental planning in the subcontinent. Given the credibility of econometric and statistical methods, the key tenets of the approach that are being applied in ACASA are worth highlighting.

Evaluating the profitability of adaptation options

Profitability is among the foremost indicators for the feasible adoption of any technology. The popular metric of profitability evaluation is benefit-to-cost ratio. This is a simple measure based on additional costs and benefits because of adopting new technology. A benefit-to-cost ratio of more than one is considered essential for financial viability. Large-scale surveys such as cost of cultivation and other household surveys can provide cost estimates for limited adaptation options. Given the geographical and commodity spread, ACASA must resort to the meta-analysis of published literature or field trials for adaptation options. For example, a recent paper by International Food Policy Research Institute (IFPRI) based on meta-analysis shows that not all interventions result in a win-win situation with improvements in both tradable and non-tradable outcomes. While no-till wheat, legumes, and integrated nutrient management result in an advantageous outcome, there are trade-offs between the tradable and non-tradable ecosystem services in the cases of directed seed rice, organic manure, and agroforestry2.

Quantification of adaptation options to mitigate hazards

Past studies demonstrate the usefulness of econometric methods when analyzing the effectiveness of adaptation options such as irrigation, shift in planting time, and crop diversification against drought and heat stress in South Asia. Compared to a simple cost-benefit approach, the adaptation benefits of a particular technology under climatic stress conditions can be ascertained by comparing it with normal weather conditions. The popular methods in climate economics literature are panel data regression and treatment-based models. Subject to data availability, modern methods of causal estimation, and machine learning can be used to ascertain the robust benefits of adaptation options. Such studies, though available in literature, have compared limited adaptation options. A study by the Indian Council of Agricultural Research-National Institute of Agricultural Economics and Policy Research (ICAR-NIAP), based on ‘Situation Assessment Survey of Agricultural Households’ of National Sample Survey Office (NSSO), concluded that though crop insurance and irrigation effectively improve farm income and reduce farmers’ exposure to downside risk, irrigation is more effective than crop insurance1.

Statistical models for spatial interpolation of econometric estimates

Since ACASA focuses on gridded analysis, an active area of statistical application is the spatial interpolation or downscaling of results to a more granular scale. Many indicators used for risk characterization are available at coarser geographical units or points from surveys. Kriging is a spatial interpolation method where there is no observed data. Apart from spatial interpolation of observed indicators, advanced Kriging methods can be potentially used to interpolate or predict the estimates of the econometric model.

ACASA’s approach involves prioritizing adaptation options based on suitability, scalability, and gender inclusivity. Econometric and statistical methods play a crucial role in evaluating the profitability and effectiveness of various adaptation strategies from real world datasets. Despite challenges such as limited observational data and integration of econometric and statistical methods, ACASA can facilitate informed decision-making in climate risk management and safeguard agricultural productivity in the face of climatic hazards.


1 Birthal PS, Hazrana J, Negi DS and Mishra A. 2022. Assessing benefits of crop insurance vis-a-vis irrigation in Indian agriculture. Food Policy 112:102348. https://doi.org/10.1016/j.foodpol.2022.102348

2 Kiran Kumara T M, Birthal PS, Chand D and Kumar A. 2024. Economic Valuation of Ecosystem Services of Selected Interventions in Agriculture in India. IFPRI Discussion Paper 02250, IFPRI-South Asia Regional Office, New Delhi.

Blog written by Prem Chand, ICAR-NIAP, India and Kaushik Bora, BISA-CIMMYT, India

Unlocking insights from literature: exploring adaptation options in ACASA

To address the vulnerability of increased climate risks which impact agriculture, it is imperative to identify location-specific adaptation options. Atlas of Climate Adaptation in South Asian Agriculture (ACASA) is working on identifying commodity specific hazards at different geographical regions and the key adaptation options aligned with geography and hazards. This has been done for major cereal crops (rice, wheat, and maize), coarse grains (millets), oilseeds (coconut, mustard), legumes and vegetable crops (chickpea, potato), livestock, and fisheries. In ACASA, Systematic Literature Review (SLR) serves as a fundamental tool to identify key climate adaptation options and assess their effectiveness, considering agroecological factors.

Literature reviews are a customary approach for researchers to grasp existing knowledge and findings. The SLR methodically establishes clear research objectives, employs structured search queries to identify relevant literature, applies defined exclusion criteria, and extracts data for scientific analysis. This structured approach facilitates mapping the literature, validating findings, identifying gaps, and refining methodologies thereby minimizing biases, and ensuring comprehensive coverage of evidence.

Commodity-specific research questions, aligned with the problem/population, intervention, comparison/consequences, outcome, and time PICO(T) framework, have been used to guide the search process. By utilizing keywords specific to these questions, ACASA sourced literature from reputable databases such as Web of Science, Scopus, Google Scholar, and local databases of South Asian countries: Bangladesh, India, Nepal, and Sri Lanka. Local databases and gray literature further bolstered the understanding of local conditions and broadened the coverage of studied literature.

Systematic Literature Review (SLR)

The searched literature was then filtered using the well-established Preferred Reporting Items for Systematic Reviews and Meta Analysis (PRISMA) framework. PRISMA provides a minimum set of evidence-based literature to be used for further analysis. Let us look at maize as an example of a commodity under analysis in ACASA. For maize, a total of 1,282 papers were identified and based on four exclusion criteria pertaining to adaptation options, quantitative assessment, hazard, and risk only of which 72 papers were shortlisted. The PRISMA framework supported in getting a manageable dataset for in-depth analysis while ensuring transparency in the overall filtering process.

After filtering through PRISMA, a bibliometric analysis was conducted which contained research trend analysis, regional distribution patterns, adaptation option categorizations, and a co-occurrence analysis. Useful patterns in popularity of studied adaptation options, hazards, and their linkages were observed through this analysis. For instance, drought was the most studied hazard, while pest diseases and economics were major hazard impacts studied for the maize literature. In terms of adaptation options, stress tolerant varieties were the most popular adaptation option. Further, co-occurrence analysis provided linkages between adaptation options and hazards, and demonstrated that researchers have also studied bundled technologies.

SLR helped understand the effectiveness of certain adaptation options. Going ahead, this step will be fully realized through a “meta-analysis” which will be pivotal in quantifying the evidence and prioritizing adaptation options for different agroecologies. SLR has proven to be an effective research method to build a comprehensive database that can be used across different thematic areas of ACASA. Adaptation options enlisted through SLR can be further substantiated through expert elicitations via heurism, crop modelling, cost-benefit analysis, and other important pillars of ACASA to identify efficient and cost-effective options.

SLR also provided the ACASA team with the opportunity to identify certain literature gaps such as uneven geographical coverage and excessive emphasis on certain adaptation options versus the rest. Conceptualization of systematically reviewing climate adaptation options in the South Asian context by integrating bibliometric and meta-analysis adds novelty to the current efforts of ACASA.

Blog written by Aniket Deo, BISA-CIMMYT India; Niveta Jain, ICAR-IARI India; Roshan B Ojha, NARC Nepal; and Sayla Khandoker, BARI Bangladesh

In Ethiopia, regional and local representatives endorse national framework on climate services

In Ethiopia, regional government representatives endorsed in October 2023 the National Framework on Climate Services (NFCS), a tool designed to guide the establishment and delivery of climate services in key sectors: water and energy, agriculture, health, disaster risk management, and environmental protection.

This endorsement by regional state representatives marks an important step towards the implementation at regional and zonal levels of the NFCS, which was adopted at the national level in 2020.

Participants of the two-day workshop organized by the Ethiopian Meteorological Institute in partnership with CIMMYT (Photo: CIMMYT).

The adoption of the Framework concluded a two-day workshop organized by the Ethiopian Meteorological Institute in partnership with CIMMYT through the AICCRA project, which aims to scale climate-smart agriculture and climate information services for the benefit of millions of small-scale farmers in Ethiopia. The workshop was also attended by ministers, state ministers and heads of federal offices from the sectors affected by climate change.

Responding and adapting to climate change requires that all affected sectors cooperate and collaborate, stressed Fetene Teshome, General Manager of the Ethiopian Meteorological Institute, in his opening remarks. Experts and regional and local representatives should come together to establish a system that can gather quality information and disseminate it to its users, he added.

“We can’t tackle climate change easily, so we have to find ways to live with it and use it to our benefit,” said Habtamu Itefa, minister of water and energy. He urged the workshop participants to approach the NFCS as a system designed to outlive governments and called them to play an essential role in its implementation in their respective regions, zones, districts and kebeles (sub-districts).

“Climate services will bring meaningful changes in agriculture”

Among the sectors most affected by climate change, agriculture accounts for about 40% of the GDP and employs more than 80% of the population, making it the backbone of the Ethiopian economy. It is thus crucial to address climate change impacts on the sector.

CIMMYT Senior Scientist, Kindie Tesfaye, explained how the AICCRA project works to enhance access to climate information services and validated climate-smart agriculture technologies in six African countries, including Ethiopia. As a stakeholder of the project, CIMMYT is training farmers, development agents, and local agricultural experts, and other agricultural value chain actors on the use of climate advisory services in collaboration with LERSHA, a digital platform providing farmers with contextualized weather forecast, inputs, mechanization and financial advisory services.

“We consider climate as a major problem for the country’s agricultural activities because the sector is heavily dependent on rain-fed production system and we believe that implementing this national framework on climate services will bring meaningful changes to the sector enabling it to manage climate risks successfully,” said Kindie Tesfaye.

The AICCRA project supported strengthening the function of the NFCS coordination team for multi- stakeholder engagement, supporting the endorsement of the framework and providing training on resource mobilization for its implementation. The project is also building capacity at different levels, promoting climate smart agriculture.

Productive in-depth discussions

Prior to the NFCS endorsement, participants shared inputs from their respective regions and sectors, providing inputs to the framework. Delegates mostly discussed capacity building needs, information delivery channels, synergetic cooperation among government institutions and mobilization of resources for implementation.

Signing of the endorsement between the Ethiopian Meteorological Institute and representatives of the regional states (Photo: CIMMYT).

On the second day of the workshop, four different papers were presented on a seasonal climate update for the 2023 Bega season (October to December), on the impacts outlook for the upcoming Bega season, on the national state of the climate, and on climate risk management in agriculture extension.

The plenary discussion that followed was led by Fetene Teshome and offered an opportunity to the participants to raise their concerns on the implementation of the framework in their respective regional states. Many of the participants reflected on how the framework can accommodate the different ecology of various areas and how it can upgrade or replace dysfunctional meteorology infrastructures.

The Climate Risk Curriculum module that was prepared by AICCRA for agricultural extension workers was also launched during the workshop.

 

Participation Agreement for Supply of Materials-CAIGE Project

The CAIGE Project seeks to offer the University of Sydney and Australian grain breeders access to provider sites, materials, and data at times to be agreed by the parties. Offer support to the recipient and Australian grain breeders to choose materials from CIMMYT and enter into supply orders.

The project aims to align with the Sustainable Development Goals: Contributing to SDG 2 – Zero Hunger.

  • Every alternate year, a set of elite spring wheat lines is shared with the CAIGE program in Australia.
  • Joint evaluation of CIMMYT & Australian lines across Australia, October 2022 (N=312 lines).

Data provided

  • Grain yield under full irrigation and drought
  • TKW under full irrigation and drought
  • Quality traits (protein, sedimentation volume etc) under full irrigation
  • Disease traits: Leaf and Yellow rust, and soil borne disease
  • Stem rust (Debre Zeit – Ethiopia and Njoro –Kenya

2022/23: Additional set of new cohorts of lines sent to Australia for quarantine and seed increase process.

CAIGE Australia team will visit CIMMYT Obregon March 2024

CIMMYT-Australia Scientists field evaluation, October 2022

Direct release of CIMMYT wheat in Australia

Commercial cultivation of Borlaug 100 wheat in Australia (commercialized by Rebel seeds)

K.M. Zasim Uddin

K.M. Zasim Uddin is an agricultural development officer with CIMMYT’s Sustainable Agrifood Systems (SAS) program in Bangladesh. He has a masters in agronomy from Rajshahi University

He is part of projects including the Cereal Systems Initiative for South Asia (CSISA), Fall Armyworm R4D and Management (FAW), Big data analytics for climate-smart agricultural practices in South Asia (Big DataÂČ CSA), and Climate Services for Resilient Development in South Asia (CSRD). His main responsibilities are research and development on agricultural mechanization for the CSISA Mechanization and Extension Activity (CSISA-MEA). He has participated in versatile training, workshops and conference programs across Asia.

Uddin has worked in different national and international non-government organizations and companies for more than 13 years, including in research and development at Syngenta Bangladesh Limited and on the Borga Chasi Unnayan Program at BRAC. He also worked as an agriculture officer under the Char Livelihood Program, funded by the United Kingdom Department for International Development.

Saiful AKM Islam

Saiful AKM Islam is a monitoring, evaluation and learning manager with the Innovation Science for Agroecosystems and Food Systems in Asia research theme in CIMMYT’s Sustainable Agrifood Systems (SAS) program. He has almost 18 years of experience with different organizations in the monitoring and evaluation field. He completed his master’s in social science from Dhaka University, Bangladesh, and post-graduation diploma in development planning.

Islam has a good understanding of monitoring and evaluation and knowledge management systems especially the United States Agency for International Development (USAID) system and compliances. Prior to beginning this position, he worked with the United Nations Development Program (UNDP) as a program specialist and Save the Children International as manager in research, monitoring and evaluation, and learning.

Mustafa Kamal

Mustafa Kamal is a GIS and remote sensing analyst in CIMMYT, leading the GIS, remote sensing and data team in Bangladesh as part of the Sustainable Agrifood Systems (SAS) program’s Innovation Sciences in Agroecosystems and Food Systems theme across Asia.

Kamal’s core expertise is in earth observation and geospatial data science, scientific and cloud computing, webGIS, Unmanned Aerial Systems (UAS), advance landcover-landuse classification, and tool development. He contributes to research and innovation of irrigation and agro-meteorological advisory, crop identification and yield prediction, disaster and crop monitoring, landscape diversity, and climate analytics. He has published many peer-reviewed papers, reports, and training manuals, and provided teaching/training.

Kamal’s interdisciplinary background in urban and rural planning and disaster management helps him to integrate and lead an interdisciplinary team to provide solutions for sustainable agrifood systems.

Md. Mizanur Rahman

Mizanur Rahman is a Monitoring, Evaluation, and Learning Officer with the Sustainable Agrifood System (SAS) program’s Innovation Sciences in Agroecosystems and Food Systems theme across Asia. His role involves developing and implementing logical and conceptual data flows for analytical processes supporting decision-making at the project and donor level. He has more than 18 years of progressive experience with 12 years in research, monitoring, and evaluation.

The power of data in improving conditions for female farmers

Despite women’s essential role in agrifood systems, their contribution can be overlooked, with resources instead targeted towards their male counterparts.

However, advancements in technology now allow scientists to generate rich datasets that can aid analysis of the situational factors impacting women farmers’ participation in extension training services.

These developments have enabled scientists from the International Maize and Wheat Improvement Center (CIMMYT), Michigan State University, and Agricultural Advisory Society, a local NGO, to understand barriers to access and recommend improvements that will benefit women in Bangladesh.

Using a large dataset of 131,073 farmers in Bangladesh, researchers worked to identify ways to tackle gender exclusion in extension training. Scientists used machine learning to understand preferences according to gender and applied optimization theory and identified actionable ways to increase the number of farmers participating in video- and multi-media mediated trainings, while simultaneously improving gender inclusivity in public training events.

The study discovered strong gender specific considerations, such as the training session’s day of the week and time and the gender of the trainer, which prevented women from or encouraged them to take part in educational events.

It also demonstrates the potential for big data to transform our understanding of unstructured and semi-structured data into statistically verifiable insights that can genuinely impact farmer’s lives. Optimizing women’s involvement in agrifood systems can additionally play an important part in efforts to enhance farm productivity, gender and social inclusion, and nutrition in Bangladesh and beyond.

Read the full study: Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation

Cover photo: Women in Bangladesh can benefit from improved inclusivity in extension training. (Credit: Sam Storr/CIMMYT)

Eva Marina Valencia Leñero

Eva Marina Valencia Leñero is a Scaling Coordinator. She is an interdisciplinary professional focused on systems thinking and sustainability.

She has an Undergraduate degree in Law from the National Autonomous University of Mexico, and a MSc in Environmental Sciences, Policy and Management from the MESPOM Consortium with Lund University. She is interested in promoting sustainability in projects and policies, and has experience in the sectors of water, food, energy and climate change. She is interested in finding ways to scale impactful projects for food security.

Moreover, she has experience working at different levels in public organizations including the Mexican Energy Regulatory Commission, the Mexican Institute of Ecology and Climate Change, and the United Nations Economic Commission for Europe. She is the Founder of the Tricolor Coalition, a platform for sustainability transition in Mexico City.

Farmers’ views on app usage for information sharing

Mobile phones are increasingly shaping the ways information is shared across industries, including in agriculture. The digitization of agricultural systems expedited by substantial efforts to narrow the digital divide and include smallholders means that data ownership and privacy issues are more relevant than ever.

The use of smartphone-based apps to improve accessibility to information for smallholder farmers has previously been under researched. In this publication, scientists from Ghent University and the International Maize and Wheat Improvement Center (CIMMYT) investigate incentives for smallholder farmers to use an agricultural advisory app in which data is shared using a designed discrete choice experiment.

Leveraging survey data from 392 farmers in Mexico, a conditional logit (CL) model was used to gain deeper insights into the preferences for attributes related to its usage. Groups and profiles were explored through a latent class (LC) model to investigate heterogeneity.

Farmers across ages were found to support the use of technology-based, site-specific extension services. The CL model results revealed farmers’ positive preference to receive support at first use and access to training, while they felt negatively towards sharing data with private actors. Meanwhile, the LC model demonstrates differences in preferences when farmers’ connectedness to the CIMMYT innovation hub and mastery approach goals variables are considered as a grouping variable. These variables also affect farmer preferences towards data sharing.

This study’s main contribution is in demonstrating the importance of nonfinancial incentives and influence of data sharing on farmer preferences. Through this improved understanding, the potential of technology in improving farmers’ welfare can be further realized.

Read the study here: How to Make a Smartphone-Based App for Agricultural Advice Attractive: Insights from a Choice Experiment in Mexico

Cover photo: MarĂ­a del Refugio GalvĂĄn, a producer of barley from Irapuato, Guanajuato, Mexico, has been involved in the smartphone-app project. (Credit: Francisco AlarcĂłn/CIMMYT)

Aniket Deo

Aniket Deo is a generalized specialist who has worked towards improving farmer’s incentives. He has expertise in analytics, food systems, algorithm design, operations research, techno-economic analysis, decision support systems, value chain analysis, agriculture economics, and resource budgeting. His vision is to digitize the agricultural sector for effective and data-driven decisions.

Researchers urged to use common gender keywords to improve data impact

A common approach toward data structuring is needed to improve access to gender research across agriculture data repositories, a recent report by the CGIAR Platform on Big Data in Agriculture suggests.

Simply adding the keyword ‘gender’ in database descriptions will improve the findability of gender agricultural research, which currently is hard to find due to the inconsistent use of keywords and tagging, said the report’s author Marcelo Tyszler, a (gender) data expert with the Royal Tropical Institute (KIT) in the Netherlands.

“The data is there. We just can’t find it all! A lack of consistent keywords when tagging research is leading to holes in searches for gender research across CGIAR, the world’s largest network of agricultural researchers,” he says.

“A more systematic and sharper use of keywords when describing datasets will improve findability in searches,” Tyszler states.

As part of the Findability of Gender Datasets report, researchers used a range of keywords, including ‘gender’, ‘women’ and ‘female,’ to search repositories for gender-based data across CGIAR agricultural research centers and compared the search results with a reference list of gender datasets provided by scientists. The results showed that a number of the datasets in the reference list were not found using these search terms.

The results uncovered important inconsistencies in the description of gender research, especially in terms of how data is structured and the detail of documentation provided in CGIAR repositories, says co-author Ewen Le Borgne, a KIT gender researcher.

“Poor data management limits the impact of research to be found, read and incorporated into new research projects,” Le Borgne says, invoking the age old saying, “If a tree falls in a forest and no one is around to hear it, does it make a sound?”

Ibu Rosalina arranging a Kacang Panjang bush. (Credit: Icaro Cooke Vieira/CIFOR)

The researchers used the findings to promote a standardized approach to tagging and describing their research.

“To improve findability and the impact of data, the gender community should develop a list of commonly agreed keywords that can be used to consistently describe gender research data sets,” Le Borgne explains.

Any dataset containing ‘sex-disaggregated’ data should indicate so in the keywords, said Tyszler.  This is also important for non-gender researchers, to broaden the scope of their impact.

“By facilitating the tagging, findability and accessibility of quantitative and qualitative gender data we hope to facilitate mixed methods research by providing opportunities for both qualitative and quantitative researchers to exchange insights and create a stronger dialogue,” he explains.

Moreover, across the CGIAR there is a wealth of gender specific qualitative data collected through focus groups, interviews and other participatory research. As CGIAR continues to advance gender research efforts, big data is unearthing exciting opportunities for understanding and acting on the relationships among gender, agriculture, and rapidly digitizing economies and societies. However, varied approaches to data management is restricting access, thus limiting the impact data can have when other researchers aim to reuse results to gain deeper insights.

Moving beyond the ‘gender’ tag

Lubuk Beringin villagers cut off palm nut fruits at Lubuk Beringin village, Bungo district, Jambi province, Indonesia. (Credit: Tri Saputro/CIFOR)

Not surprisingly, ‘gender’ was the most common keyword used to describe data found in the study. Although it is essential for researchers to add the ‘gender’ keyword to research descriptions they must also go further in describing what the dataset represents, the researchers indicated.

“‘Gender’ is not precise enough a keyword to find all relevant gender-focused datasets. However, our search shows very few details as to what, about gender, is studied in each project,” says Tyszler.

Studies in other fields, for example nutrition, seem to have much more granularity in the description, with keywords including, nutrient intake, nutrition policy, micronutrient deficiencies, etc. We need a movement like this in gender research, he explained.

Better keywords should be a minimum, but it is also possible to consider the identification of a set of smart ‘gender metadata fields’. These would be input elements that need to be filled in that could ensure all CGIAR datasets properly assess gender dimensions, which would boost the visibility of gender research.

Working as part of the CGIAR Socio-Economic Data Community of Practice, the gender researchers support the exchange of gender-focused data collection tools, with standardized focus groups and interview questions, to improve the potential for comparing different datasets.

Since 2018, the CGIAR Platform for Big Data in Agriculture and CGIAR Collaborative Platform for Gender Research have been collaborating out of mutual interest, to identify ways to unlock the big data potential of gender research.

Together they aim to take a much more active role in shaping up how gender data can be better analysed and reveal new insights, said Gideon Kruseman, the lead of the CGIAR Socio-Economic Data Community of Practice.

“We are promoting a standardized approach by bringing together gender data experts with other socio-economic and even biophysical scientists that may not know how to best engage with gender research and data,” Kruseman explains.

Access the full Findability of Gender Datasets report, which was funded through a 2018 grant to KIT Royal Tropical Institute, by the Community of Practice on Socio-Economic Data with co-funding by the CGIAR Gender Platform.

Cover photo: A woman helps to install a drip irrigation pipe on a farm in Gujarat, India. (Credit: Hamish John Appleby, IWMI)

Andrea GardeazĂĄbal Monsalve

Andrea GardeazĂĄbal works on the use of data-driven agronomy, knowledge management and ICT for innovation within agri-food systems. She holds an MSc in Information and Communication Technologies for Development from the University of Manchester, UK, and an MSc in Political Science from Los Andes University, Colombia. She has over a decade of experience designing and deploying large ICT for agriculture and education projects in Mexico, Guatemala, and Colombia.

Gardeazabal currently coordinates the Monitoring, Evaluation, Accountability and Learning Unit for CIMMYT’s Integrated Development Program, which involves the design and operation of robust information systems for data collection, analysis and dissemination.