Publications and Datasets

The impact of a continuum of care intervention from prevention to treatment on child wasting compared to usual community group activities: A cluster randomized controlled trial in Mali

Background Child wasting is associated with a high mortality risk and remains a persistent public health challenge. Objective This study aimed to evaluate the impact of an intervention strengthening the continuum of care of child wasting from prevention, screening, and referral to treatment in Mali. Methods A two-arm cluster-randomized controlled trial was conducted using two study designs to evaluate impact and pathways: i) a longitudinal study of children enrolled at 6 months (n=2,324) with monthly follow-up for 3–6 months to assess wasting prevalence (primary outcome); ii) a longitudinal study of all children 6–23 months admitted to outpatient therapeutic programs (OTP; n=7,104) assessing recovery and adherence. Additional OTP coverage surveys were conducted at the end of the study. In both study arms, nutrition activity support groups (NASG) screened children for wasting and provided caregiver behavior change communication (BCC). The intervention arm additionally received small-quantity lipid-based nutrient supplements (SQ-LNS), child-centered BCC, family-led screening, and follow-up on referred wasting cases to support OTP admission and adherence. Results The intervention did not impact wasting prevalence but reduced the incidence of wasting (relative risk (RR): 0.80, 95% confidence interval (CI): 0.64, 0.99) and severe acute malnutrition (SAM) (RR: 0.71, 95%CI: 0.57, 0.89). The intervention significantly increased wasting screening coverage by 37 pp (95%CI: 31, 44) and SAM treatment coverage by 15 pp (95%CI: 0.35, 30). No impacts of the intervention on OTP recovery or adherence were found. NASGs often replaced the monthly home visits with community gatherings to deliver the intervention. NASGs also often distributed SQ-LNS to children they identified with wasting instead of referring them to the OTP. Conclusions Strengthening the continuum of care of wasting through community groups reduced the incidence of wasting and SAM and improved screening coverage, which translated into a modest gain in SAM treatment coverage.

Adding small quantity lipid-based nutrient supplements to an enhanced homestead food production program improves child hemoglobin, iron and vitamin A status in rural Burkina Faso: A cluster randomized controlled trial

Background Enhanced homestead food production programs (EHFP) including nutrition behavior change communication and women’s empowerment activities have limited impacts on child nutrition. This may be due to short program duration or the absence of interventions to improve water, sanitation, and hygiene (WASH) and access to nutritious foods. Objective We assessed impacts on child anemia, micronutrient status and anthropometry of prior village exposure to an EHFP, and of adding WASH alone or WASH with daily small quantity-lipid based nutrient supplements (SQ-LNS). Design This 2y longitudinal cluster-randomized controlled trial (2014-2016) included 60 villages in Burkina Faso randomized to four groups (15 per group): (1) EHFP-2014, (2) EHFP-2014+WASH, (3) EHFP-2010+WASH, and (4) EHFP-2010+WASH+SQ-LNS. Groups 3 and 4 had previously received EHFP (2010-2012). We assessed impacts on child anemia and micronutrient status (n=1,704; 3-12.9 mo at baseline) and anthropometry (n=2,308; 0-12.9 mo at baseline) using difference-in-difference (DID) specifications. We controlled for covariates, adjusted for clustering, and assessed interactive effects by child age at baseline. The trial was registered with clinicaltrials.gov (NCT02236468). Results We found no impact of prior exposure to EHFP (groups 2 vs 3) on the outcomes examined. Adding WASH (groups 1 vs 2) reduced anemia (hemoglobin (Hb)<11 g/dL) (DID=9.43 pp, p<0.01) and led to a decline in weight-for-age Z-score (WAZ) (DID -0.11±0.04, p=0.01). Adding SQ-LNS (groups 3 vs 4) increased Hb (DID=0.26±0.13 g/dL, p<0.05), plasma ferritin (DID=7.61±2.69 μg/L, p<0.01), and retinol binding protein (DID=0.07±0.02 umol/L, p<0.01) concentrations. Effects were larger in children <6 mo at baseline, where providing SQ-LNS (>6 mo) positively impacted Hb, plasma ferritin, height-for-age Z-score, WAZ, and underweight. Conclusions Using EHFP to deliver WASH and SQ-LNS reduced child anemia and improved micronutrient status. Anthropometric improvements were found in children who joined the program before 6 mo of age and were exposed for the whole complementary feeding period.

Uncovering bottlenecks and innovative solutions for scaling small-scale irrigation through a system approach and design thinking: Evidence from Nigeria

CONTEXT Small-scale irrigation (SSI) is central to food system transformation in Sub-Saharan Africa, yet its scaling remains low in Nigeria despite the apparent demand and policy narratives. OBJECTIVE Examine intermediary ‘missing middle’ barriers to SSI scaling and co-create solutions for socially inclusive, environmentally sustainable, and institutionally coherent scaling of SSI. METHODS We integrated Agricultural Innovation Systems (AIS) theory with a Human-Centered Design (HCD) approach to examine SSI diffusion in a Responsible Scaling lens. For qualitative study, a series of HCD workshops were conducted in three geographies (Kano, Oyo, and FCT) with a total of 85 stakeholders drawn from government institutions, financial organizations, and private irrigation technology suppliers. To complement qualitative insights, we analyzed the 2023 National Agricultural Sample Survey microdata to generate a national snapshot of irrigation prevalence, methods, and water sources. This is a nationally representative data from sample of 152,485 households and over 76 million agricultural plots included in the Nigeria National Agricultural Sample Survey (NASS) 2022/2023. RESULTS AND CONCLUSIONS The study demonstrates that Nigeria’s SSI bottlenecks stem not simply from farmer reluctance or technological ignorance but primarily from systemic intermediation failures across policy coordination, finance, and market supply chains—producing a “missing-middle” ecosystem. These failures include fragmented government mandates, high lender risk perceptions, weak supplier networks, gendered exclusion, and pervasive information gaps. Applying responsible scaling (RS) we show how scaling of SSI is being hindered by institutional fragmentation, liquidity constraints, gender exclusion, and data/information deficiency. SIGNIFICANCE The study presents co-created innovation pathways, including a national SSI coordination platform, blended-finance mechanisms, supplier hub models, and gender-responsive financing, mapped to AIS functions to guide responsible, inclusive, and climate-resilient scaling. The integrated AIS–HCD–RS approach advances system learning and participatory co-design and offers a practical methodology for responsible scaling of agricultural innovation.

Beyond the 24-hour recall: Aligning dietary diversity metrics with nutrient physiology

Cash transfers relax climate-induced mobility constraints in Kenya

The use of migration as an adaptation strategy is now recognized by scholars and policymakers as a key response to climate change. Cash transfer programs, now being implemented worldwide, also have the potential to facilitate adaptation and promote resilience in low- and middle-income countries. We investigate the extent to which a cash transfer program in Kenya promoted the mobility of household members due to climate shocks, leveraging exogenous variation in local deviations from the historical climate and the administration of the program through a randomized controlled trial. Our findings indicate that beneficiary households were less likely to reduce migration amid cold spells, likely via shifts in education-related migration. We also find that heat spells ubiquitously encourage new members to join the household, while cold spells have the opposite effect, and that cash transfers do not appear to alter these relationships. Together the results suggest that cold spells can trap migrants in temperate, low-resource settings and that cash transfers can partially alleviate these constraints. Modeling migration and complementary strategies in the presence of climate tipping points will become necessary to predict when more permanent migration will be triggered and modifying social assistance will become necessary.

Modeling the association between repeated measures of hemoglobin during pregnancy and adverse birth outcomes

Youth in relation to agroecology: practices, promises, and perceptions in five countries

In the context of rising youth populations in many low- and middle-income countries, coupled with high youth unemployment and aging farmer populations, this paper asks in what ways agroecology, as a sustainable alternative to the conventional agricultural practices and paradigm, attracts youth to farming and rural-based livelihoods. We draw on empirical data from semi-structured interviews and photovoice conducted with young women and men in five countries: Kenya, India, Peru, Tunisia, and Zimbabwe. In our discussion, we highlight which dimensions and aspects of agroecology resonate with youth and why.

Antimicrobial and other aquamedicine use for disease treatment in pond-based commercial tilapia farms in Bangladesh

This study addresses the limited information on use of antimicrobials and other chemical use in commercial tilapia farms in Bangladesh. A retrospective cross-sectional survey was conducted in November 2022 in the Mymensingh district, a major tilapia production hub. Nearly half of the farms (46.6%) experienced fish mortality during the last production cycle, and 75.0% of farmers did not seek professional assistance during disease outbreaks. Among those who did, 68.0% relied on chemical or drug suppliers for guidance rather than veterinary experts. Biosecurity practices were inadequate, with 98.3% not implementing four basic monitored measures: disinfection of vehicles, footwear, hands, and equipment. Awareness of antimicrobial use (AMU) risks among respondents was low, with 56.0% unaware of its negative impacts and 88.8% unfamiliar with antimicrobial resistance (AMR). Antibiotic use was low, with only 15.5% of farms reporting antibiotic treatments, primarily oxytetracycline hydrochloride (23.8%), enrofloxacin (19.0%), and erythromycin–sulphadiazine–trimethoprim (19.0%). However, other chemicals with antimicrobial properties, such as disinfectants, were more commonly applied, reported by 39.7% of farms for disease management. The use of both antimicrobial and non-antimicrobial medicine varied significantly by location, being significantly less likely observed in Tarakanda (p < 0.05) and Fulbaria (p < 0.01), suggesting location-specific differences in disease management. The presence of clinical signs was significantly associated with increased use of both antimicrobials, non-antimicrobial medicine and use of overall aquamedicine (p < 0.001), while longer cultivation durations showed a weak association with reduced AMU. Imprudent use of antimicrobials and other chemicals may pose One Health risks, including disruption of pond microbial ecosystems, AMR development, chemical residues, and occupational hazards. In-depth qualitative studies are needed to further understand and optimize antimicrobial and other chemical use practices and determine how tilapia farmers may benefit from improved biosecurity, training, and veterinary access.

Scaling biofortified wheat production for agrifood and nutritional security in eastern India: Evidence from five years of multi-location field evaluations in Bihar

Climate stressors and rural incomes: Multi-country evidence on wealth, gender, and age disparities

Multi-stakeholder platforms for enabling agroecological transitions: Configurations and lessons from seven agroecological living landscapes

Agroecological transition (AET) of agrifood systems is a multidimensional process involving diverse stakeholders. Participatory innovation and co-creation of knowledge are also at the heart of agroecology. Deliberately designed Multi-stakeholder platforms (MSPs) are collaborative spaces conducive to driving this type of collaboration and change. However, how these processes are operationalized is poorly documented. This study contributes to filling this gap by highlighting how MSPs can be important vehicles for enabling AETs. As part of the CGIAR Initiative on Agroecology, Agroecological Living Landscapes (ALLs) were set up as MSPs specifically focusing on co-creation of agroecological innovations. By examining different ALL configurations in seven countries, we analyze MSP attributes that can enable and shape AETs at different stages or “levels” of the transition pathway. We find that MSPs can advance different levels of the transition pathway simultaneously by working on multiple innovations involving various stakeholder coalitions. MSPs navigate complex environments, with diverse stakeholders playing multiple policy and non-policy roles to support AETs. The results also illustrate the intersection between MSP configuration and AET objectives, such as policy change, agroecology market support, and scaling adoption. Finally, we discuss the non-linear nature of AET pathways and political economy considerations for stakeholder engagement in MSPs.

Leveraging social protection to strengthen women’s and girls’ climate-resilience in agrifood systems

Women and girls (WGs) have important roles in making agrifood systems more climate resilient. However, systemic inequalities in access to resources, technologies, information, services, and networks, alongside limited agency and restrictive gender norms, reduce their capacity to adapt to and mitigate climate change. WGs’ constraints on adaptation bear implications on the wellbeing of WGs, their households, and the sustainability of agrifood systems. With growing recognition that social protection helps promote WGs’ resilience in low- and middle-income countries (LMICs) at large scale, stakeholders are interested in developing social protection programs that are responsive to both climate change and gender inequality. However, little is known about effective approaches. We develop a conceptual framework on how social assistance – the most prevalent type of social protection programming in many LMICs – affects WGs’ coping, adaptive, and mitigative responses to climate hazards. We reflect on the emerging evidence and propose recommendations on program design features that may more effectively promote WGs’ climate resilience in agrifood systems. We additionally highlight important directions for future research to guide practice.

Repairing the mosaic: The political economy of landscape-level agroecological transitions in India

Hidden one-stop shops in transforming agrifood value chains: Agro-input retailers in Myanmar

Artificial intelligence-assisted dietary assessment in adolescent girls in Sri Lanka: Validity against weighed food records and comparison with 24-hour recalls

Background Reliable dietary data for adolescents in low- and middle-income countries (LMICs) are limited due to high costs and estimation errors in traditional dietary assessment methods. Although technology-assisted dietary assessment tools are becoming popular, few have been validated in LMICs. Objectives This study validated the PlantVillage Food Recognition Assistance and Nudging Insights (FRANI), an artificial intelligence-assisted mobile application for dietary assessment, against weighed food records (WFR) and multipass 24-h recalls (24HR) among adolescent girls aged 14‒18 y (n = 60) in urban/semi-urban communities in Sri Lanka. Methods Dietary intake was assessed over 2 non-consecutive days using 3 methods: FRANI, WFR, and 24HR. The equivalence of nutrient intake was evaluated using mixed-effect models accounting for repeated measures by comparing intake ratios (FRANI/WFR and 24HR/WFR) with 10%, 15%, and 20% equivalence bounds. The concordance correlation coefficient was utilized to assess the agreement between methods. Results FRANI demonstrated equivalence with WFR at the 10% bound for energy and vitamin A; 15% for protein, fiber, iron, and zinc; and 20% for fat, niacin, and folate intakes. Comparisons between 24HR and WFR found that no nutrients fell within the 10% bound. Energy, protein, fat, iron, niacin, and vitamin A intakes were equivalent at 15% bound, whereas fiber, calcium, folate, and vitamin C intakes were equivalent at 20% bound. Concordance correlation coefficient ranged from 0.49 to 0.89 for FRANI compared to WFR, and 0.44 to 0.84 for 24HR compared with WFR. Omission errors were 2% for FRANI and 12% for 24HR, and intrusion errors were 7% and 9%, respectively. Conclusions PlantVillage FRANI application accurately estimated nutrient intakes of adolescent girls in Sri Lanka compared to the WFR. Its performance was at least comparable to the traditional 24HR method, supporting its potential as a scalable alternative for dietary assessment in similar LMIC populations.

Relevance of more stringent discharge standards for acute malnutrition treatment: A pooled analysis of post-treatment relapse in 21 studies

Child hemoglobin trajectories across the first 10 years of life and association with child cognition and academic achievement at 10-11 years

Background Anemia is a global health concern, though the importance of changes in hemoglobin (Hb) and cognitive outcomes in childhood remains unclear. Objective We examined the association between child Hb trajectories and anemia with cognitive development and academic achievement at 10-11y. Methods We used prospective data from Vietnamese children (n=831) born to women who participated in a micronutrient supplementation trial (PRECONCEPT). Hb was measured at 3mo, 6mo, 1y, 2y and 10-11y. Multivariable linear regression models assessed the association between Hb trajectories and anemia with cognitive development (full-scale intelligence quotient- FSIQ), and academic achievement (mathematics and reading) at 10-11y, adjusting for maternal (intervention, education, age, mental health), child (age, sex), and household (home environment, socioeconomic status) characteristics. Results Three child Hb trajectories were identified (low-6.4%, middle-52.2% and high-41.4%). Compared to the middle and high trajectory groups, children in the low trajectory had the lowest Hb levels at 3 months (Hb: 9.7g/dL) and through age 10-11y (11.2g/dl). Children in the low-Hb trajectory had lower FSIQ (89.8 vs 93.2), math (12.1 vs 13.5) and reading (17.8 vs 19.0) scores compared to the high-Hb trajectory. These differences were attenuated in adjusted models. Children in the low and middle Hb trajectories had non-significantly lower FSIQ (-0.93; 95% CI: [-4.57, 2.71] and (-1.13 [-2.92, 0.66]), reading scores (-0.01 [-1.36,1.34]) and -0.46 [-1.13,0.21]) and math scores (-0.57 [-1.15,0.01] and -0.65 [-1.82, 0.51]). Anemia status at 10-11y was negatively associated with FSIQ (-3.82 [-6.68, -0.76]) and math scores (-1.04 [-2.03, -0.05]) in adjusted models. Conclusion Child Hb trajectories across the first 10 years of life were largely established early in life and had weak associations with cognition and academic achievement at 10-11y. Anemia among 10-year-old children was associated with lower IQ and math scores, which underscores the importance of continued investment in nutrition programs among school-age children.

Evaluating large-scale government investments in fertilizer adoption: The Ethiopian experience

We evaluate the impact of a large Government of Ethiopia intervention to raise fertilizer supply by establishing five fertilizer blending facilities supplying fertilizers tailored to local soil nutrient profiles. We rely on the phased geographic rollout of blending facility establishment to identify the causal effect on fertilizer use, application rates, crop yields, gross crop revenue, and household consumption. Combining effects of multiple treatment periods, each estimated using a doubly robust difference-in-difference model, we find that the blending facilities increased the probability that farmers adopt the new blended fertilizers by 22 percentage points and increased application rates by 17 kg/ha (baseline adoption was zero). The facilities mostly induced farmers who previously used DAP to switch to NPS, and we find large decreases in DAP adoption (by 22 percentage points, 47% of the control group base mean) and application rates (16 kg/ha, 52% of the control group base mean) yet no impact on overall fertilizer adoption or application rates. Though the new blended fertilizers were expected to perform better, there is no evidence they improved crop yields, crop gross revenue, or household consumption. The effect of the intervention was more pronounced (with larger increases in NPS use and larger decreases in DAP use) for farms located near demonstration plots, which the Government used to train farmers about the agronomic response to the new fertilizers. We confirm results using three large-scale longitudinal datasets and show that they are robust to choices of specification, treatment definition, and inference assumptions. JEL classification: O12, O13, Q16, Q18

Preconception micronutrient supplementation positively affects offspring perceptual reasoning at 10-11 years of age: Follow-up of a randomized controlled trial in Vietnam

The future in mind: Aspirations and long-term outcomes in rural Ethiopia

Phenology-aligned multi-task temporal fusion framework for satellite-based triple-seasonal rice yield estimation in Southeast Asia

Accurate seasonal rice yield estimation across Southeast Asia’s intensive cropping systems remains challenging due to complex phenological patterns and heterogeneous environmental conditions. This study develops a phenology-aligned multi-task temporal fusion (MTTF) framework for satellite-based seasonal rice yield estimation in Vietnam’s triple-cropping systems from 2001 to 2020. The multi-task learning treats each cropping season (winter–spring, summer–autumn, monsoon) as related but distinct tasks, enabling knowledge sharing while preserving season-specific characteristics. The framework integrates multi-source time-series data, including climate variables (e.g., temperature, precipitation), satellite-based vegetation indices (e.g., NDVI, EVI, NIRv, GCVI, LSWI), productivity indicators (e.g., SIF, GPP), and static soil properties (e.g., clay content, organic carbon, bulk density) through parallel Transformer encoders and late fusion strategies. To address temporal misalignment across heterogeneous cropping calendars, we developed an automated phenology-based crop season detection method that synchronizes time-series inputs to key growth stages rather than calendar dates. MTTF achieved high performance (R2 = 0.75, RMSE = 0.63 Mg·ha−1, and rRMSE = 12.0%), outperforming baseline models including Transformer, AtBiLSTM, ANN, XGBoost, and Random Forest. The multi-task learning approach outperformed both global models (single predictor for all seasons) and local models (separate predictors for each season), demonstrating particular benefits for data-scarce seasons like monsoon rice. Phenology alignment enhanced temporal consistency across all models. Multi-modal data fusion significantly improved performance, with satellite-based vegetation measurements contributing more significantly than climate variables according to SHAP analysis. The proposed framework provides a robust approach for operational rice yield monitoring across intensive cropping systems, with implications for assessing food security and agricultural policy in monsoon regions.

The International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT): Model documentation for version 4

The International Food Policy Research Institute’s IMPACT model is a robust tool for analyzing global and regional challenges in food, agriculture, and natural resources. Continuously updated and refined since its initial development in the early 1990s, IMPACT version 4 represents the latest iteration of the model, offering an enhanced treatment of complex issues such as climate change, food security, and economic development. IMPACT 4 modeling system integrates climate, crop simulation, and water models into a comprehensive system, providing decision-makers with a flexible platform to assess the potential impacts of various scenarios on biophysical systems, socioeconomic trends, technologies, and policies.

Strengthening women’s resilience and participation in climate governance in the agrifood sector through public policies: A strategic review of literature

Women are uniquely vulnerable to climate change but play a critical role in enhancing the climate resilience of the agrifood sector. Based on a rapid review of academic and grey literature, this paper synthesizes the state of knowledge on the level of integration of gender aspects in climate change policies and women’s involvement in policy processes in the Global South. It examines women’s participation in climate change governance, strategies for enhancing this participation, and policy approaches to strengthen women’s resilience while addressing gender inequalities. Findings show that public policies often employ quotas, incentives, and capacity building initiatives to boost women’s participation in governance. However, meaningful engagement in higher-level decision-making remains limited, with quotas sometimes resulting in superficial involvement. Facilitating women’s access to agrifood resources, human capital, and economic opportunities, as well as addressing harmful gender norms, are identified as effective strategies to build resilience. Despite these promising approaches, gaps remain in the implementation and evaluation of policies aimed at enhancing women’s resilience and participation. The paper concludes by recommending outcome-oriented research and robust evaluations of public policy effectiveness in improving women’s climate resilience and governance roles.

An evolving landscape for nexus governance in transboundary basins: Recognizing and harnessing the growing role of multistakeholder platforms

Essential commodities prices, availability, and market actors’ perceptions: March 2026

Cereals and Flour Lentils, Rice, and Pigeon Peas Vegetables Meat and Animal Products Oilseeds, Cooking Oil, Sugar, and Fava Beans Seeds Fertilizers Diesel and Petrol Exchange Rates Labor wages Market Actors’ Perceptions

Papua New Guinea food price bulletin: April 2026

This bulletin reports on food price trends from major markets in Papua New Guinea (PNG), for the first quarter (Q1) of 2026 using the data collected by Fresh Produce Development Authority (FPDA). During the first quarter, at least one round of data per month was collected from all markets, except for Port Moresby in February (no data). In March, Banz and Port Moresby had two rounds each, while all other markets had one round. This report analyzes month-over-month changes in Q1 2026 (January to March) and compares prices with the previous quarter (Q4 2025: October to December) and the same period in 2025 (Q1 2025). Prices are reported in real PGK per kilogram (i.e., adjusted for inflation using the FAO Consumer Food Price Index (PCI) and price gaps from July 2025 to March 2026 filled using a growth rate calculated from quarterly PCI data provided by the PNG National Statistical Office (June and September 2025)). This bulletin focuses on selected staples (sweet potato, taro, cassava, cooking banana and rice), vegetables (aibika, English cabbage, capsicum, carrot, and choko-tips) and fruits (lemon, orange, pawpaw and pineapple).

Horticulture sector in India: Trends, performance, and impact

Exploring good gaps for right-sizing food assistance: Methods, data challenges, and lessons learned

Accurate measurement of the depth of acute food insecurity remains a major gap in current global monitoring systems. While the Integrated Food Security Phase Classification (IPC) identifies the scale and geographic distribution of populations in crisis, it does not quantify the magnitude of food intake shortfalls faced by affected populations. This paper outlines an exploratory data exercise that tests three proxy approaches to estimating food gaps using available IPC and DIEM data. First, we derive back-of-envelope caloric deficit estimates by IPC phase using thresholds from the Household Economy Approach. Second, we assess whether widely used dietary diversity, experiential food insecurity, and coping capacity indicators can serve as proxies for calorie deficits by analyzing their cross-indicator correlations. Third, using microdata from FAO’s DIEM surveys matched to IPC area phases, we estimate indicator-specific shortfalls using a Foster-Greer-Thorbecke gap framework and translate these into food assistance estimates. The results show that proxy indicators cannot be used interchangeably to estimate caloric shortfalls, reflecting weak cross-indicator correlations consistent with the existing literature. Within-phase heterogeneity is wide and data limitations are substantial. The paper documents these approaches and their limitations as an intermediate step. The paper provides several recommendations for improving data collection that would allow for more reliable food gap estimates using the framework presented in this paper, which in turn could then operationalized for humanitarian agencies to ‘right size’ and better target food assistance to populations facing acute food insecurity.

Livelihood alternatives to labor migration: A choice experiment in Tajikistan

Labor migration is often driven by a need for income, and can also be motivated by a desire for higher earnings. A naïve assumption is therefore that an increase in local livelihood alternatives might reduce outmigration, something which has been found to hold true in some settings, but not in others. This study employs a discrete choice experiment (DCE) with 408 rural respondents in Tajikistan—a country heavily reliant on remittances from abroad—to assess whether specific local income-generating opportunities, such as those offered through cash-for-work programs or through the provision of additional farmland, might affect stated preferences regarding migration. The study explores trade-offs between local income generating opportunities (wage employment, access to farmland, and irrigation infrastructure) and migration restrictions, i.e., hypothetical constraints on household members migrating abroad for a given duration. We rely on stated rather than revealed preferences to examine these trade-offs. Our findings lend some support to the idea that households are willing to accept outmigration restrictions in return for improved local income-generation opportunities, either through wage employment or own-farming. Yet, findings are heterogeneous and depend on the households’ current and anticipated reliance on labor migration.

Under the weight of provision: Gendered mental load among smallholder farmers in Kenya

Invisible mental strain affects women and men, especially in rural areas. The effects of this strain can influence collective and economic decisions, impacting resilience in low-resource agricultural communities. Using qualitative data collected from focus group discussions with smallholder farmers in Western Kenya, we explored gendered strains of women and men, their social and psychological consequences, and the gender empathy gap. We conducted focus group discussions with 56 farmers and found that expectations of the roles of women and men in the household were clear. The “invisible burden” was present in the pressure to be hardworking and to provide financial means for the family as a man; and to care for the family and farm as a woman. The strain led to stress, worry, and deterioration of mental health, contributing to despondency, isolation, household conflict, and even mental breakdowns. Household members coped with the psychological strain in different ways. Men tended to use avoidance mechanisms, isolate themselves, or turn to alcohol consumption. Women mentioned talking to others about the strain. Both women and men also reached out to other people, took some kind of action, made plans or relied on their faith in God. Both women and men showed empathy toward one another; that is, they recognized the strain and the effects on their spouse. However, women appeared to show more empathy than men. Thus, the breadwinner strain borne by men and the family load borne by women was an important factor in rural areas, affecting household relations and decisions, which can ultimately affect household resilience. Given the negative social and psychological consequences of this invisible burden, mental health literacy trainings, gender transformative approaches, community dialogues, and gender-responsive extension services can be employed to help households to better cope with strain.

Evaluation of solar-powered cold storage and evaporative cooling system as off-grid methods for postharvest vegetable storage: Evidence from a laboratory Experiment in Nigeria

This study examined the postharvest storage potentials of a solar-powered cool storage and an off-grid, metal-in-wall evaporative coolant. Temperature drop and relative humidity (RH) increase were used to analyze the performance of cooling systems. Tomato (United Trading Company (UTC) variety), orange (Dan Benue variety) and carrot (Orange Chantenay) were obtained from the international fruits market in Dutse, Jigawa State, Nigeria. The items were sorted and stored in three different storage conditions: room temperature (RT), solar-powered cold storage, and metal-in-wall evaporative cooling systems. Mass loss, color, hardness, total soluble solids and titratable acids, carotenoids, vitamin C, and rate of nutrient degradation were among the quality indicators tested. The study shows that the solar-powered cold storage outperformed all other storage methods across the evaluated parameters; it preserved fruit firmness, significantly reduced the rate of color change, and minimized mass and nutrient losses, outperforming the metal-in-wall evaporative cooling system. For instance, tomato mass losses observed in 24 days were 42.66, 63.79, and 85.45 percent in the solar-powered cold storage, evaporative coolant, and ambient storage, respectively. Economic advantages of the above technologies, however, require careful consideration of investment costs and longer-term durability and benefits.

Combine harvester service providers in Myanmar: Insights from the 2025 monsoon season

This note presents results from a January–February 2026 phone survey of 325 combine harvester service provider (CHSPs), offering insights into the 2025 monsoon season. Key Findings Acres harvested declined by 11 percent (7 percent in the Dry Zone, 11 percent in the Delta), with 61 percent of CHSPs reporting lower demand, associated with poor rice price incentives in the Delta and movement restrictions in the Dry Zone. Nominal service charges fell by a median of 6 percent, concentrated in the Delta where fuel costs declined, while Dry Zone charges remained flat reflecting limited fuel savings and a restricted operating environment. Most CHSPs (91 percent) extended credit to farmers without interest, and 74 percent provided more financial assistance than the previous year, highlighting their role as an important source of informal credit. Cash flow problems affected 26 percent of CHSPs, driven by declining revenues and rising costs that may be understated in real terms given Myanmar’s persistently high inflation, with many coping by borrowing, selling assets, or drawing on other income. Emerging fuel supply disruptions linked to the Iran conflict pose a significant risk to the 2026 monsoon season, potentially limiting CHSP operations at a time when farmers may also face fertilizer shortages, threatening agricultural production. Recommended Actions De-risk credit for mechanization services by expanding farmers’ access to affordable formal credit or introducing partial guarantee schemes. Improve mobility and security for CHSP operations through greater transparency and reductions of checkpoints, fewer required permissions, and safer roads. Support training and retention of machine operators to address shortages driven by outmigration and insecurity.

Vertical integration and the modernization of staple food value chains: Evidence from Myanmar’s rice sector

Increased vertical integration and coordination are defining features of transforming and modernizing agricultural value chains in low- and middle-income countries, with important implications for market efficiency and farm-level transformation. However, research documenting these processes in modernizing domestic value chains is limited, and tends to focus on foreign direct investment and high-value food products. We study the rice value chain – the most important staple in Southeast Asia – in Myanmar and use unique data from domestic rice mills and farmers to analyze millers’ expansion into other businesses and services. We show that both modern and traditional mills serve as key nodes in local rice value chains, fulfilling diverse roles beyond processing at both the farm and post-farm levels and highlighting a co-development of modern processing and vertical integration. Yet, statistical tests that control for mill and farmer characteristics, respectively, show that modern mills are more engaged in vertical integration and coordination, particularly in post-farm value chain segments, highlighting the co-development of modern processing and business expansion. Consistent with this pattern in the miller data, farmers using a modern mill are more likely to receive complementary services – especially post-farm – and to adopt modern production practices more broadly. However, this expansion is uneven, reaching large farms more frequently than small and medium farms.

Essential commodities prices, availability, and market actors’ perceptions: February 2026

Cereals and Flour Lentils, Rice, and Pigeon Peas Vegetables Meat and Animal Products Oilseeds, Cooking Oil, Sugar, and Fava Beans Seeds (Improved and Local) Fertilizers Diesel and Petrol Exchange Rates Labor wages Market Actors’ Perceptions

Myanmar monthly food price report – March 2026

Rice prices in March 2026 remained lower year-on-year (down 9 percent), although they increased slightly month-on-month, indicating a recovery following earlier declines driven by lower international prices and strong domestic supply. While easing pressure on consumers, these trends continue to raise concerns for paddy producers, who face rising input costs and fuel constraints. Export crop prices showed relatively limited movement this month, suggesting a pause in momentum after previous gains driven by the revised foreign exchange policy and stronger international market demand. Vegetable prices declined month-on-month, reflecting increased market supply during the peak harvest season. Prices of garlic, onion, and chili fell as new season’s produce entered the market, outweighing ongoing supply disruptions. In contrast, potato prices continued to increase due to weather-related production constraints, Animal-sourced food prices continued to rise sharply year-on-year, led by mutton, chicken, and fish, reflecting supply constraints, disease outbreaks, and strong export demand. However, month-on-month changes were relatively modest, indicating short-term price stability. The conflict in Iran has led to a partial closure of the Strait of Hormuz, through which more than a quarter of the world’s oil exports and 20–30 percent of global fertilizer exports pass. These developments are especially concerning for Myanmar’s agrifood system, which depends heavily on fuel for transport, irrigation, mechanization, and processing. In addition, disruptions in fertilizer supply could adversely affect the upcoming monsoon season.

Five misconceptions distorting food policy in Malawi: A joint NPC-IFPRI position paper

Among countries not affected by conflict, Malawi has the lowest GDP per capita, and its economy has been shrinking for much of the past five years. External shocks have undoubtedly strained an already fragile economy, but policy choices have further stifled growth and amplified vulnerabilities. Many of these choices are rooted in persistent misconceptions, that distort decision-making and undermine progress. This position paper identifies and challenges those misconceptions. We focus only on beliefs that are widespread, lead to seriously distorted policy choices, and are genuinely held by well-intentioned actors committed to inclusive development in Malawi. These actors are our primary audience, as those without this underlying objective are unlikely to be swayed. Our list is selective rather than exhaustive, concentrating on misconceptions that are particularly pervasive and influential in the food systems policy space, and for which robust, evidence-based arguments exist.

Linking Malawian smallholders to larger-scale agribusiness enterprises for inclusive development: A conceptual critique of the anchor enterprise model

While smallholder farming has been and remains at the center of agricultural transformation efforts in Malawi, the limited success of smallholder-centered agricultural development strategies has led policymakers to explore alternative approaches. One emerging approach involves larger farms or agribusiness firms partnering with smallholder farming households, in what we will refer to as an anchor enterprise model. Under this model, smallholder farming households contribute land and labor to produce crops or livestock products that serve as inputs for, or are marketed jointly with, the anchor enterprise. In return, the anchor enterprise provides support such as technical assistance, inputs, transport, or storage. This partnership is intended to be commercial and mutually beneficial. While support for such partnerships is growing and the anchor enterprise model is increasingly being used in development programming in Malawi, there is still little clarity on what they involve, what they aim to achieve, and the conditions they need for success. This study seeks to address these questions and assess whether such linkages between larger farms or agrifood processors and smallholder farming households can contribute to sustainable, resilient, and inclusive wealth creation in Malawi. The findings from this study are also summarized in a policy note (Benson, Cockx, and De Weerdt, 2025). Anchor enterprise partnerships can be valuable development models in specific contexts. In particular, they can help both larger enterprises and smallholders overcome constraints imposed by weaknesses in Malawi’s factor, input, and output markets, enabling both land and labor to be used more productively. However, the viability of the model depends heavily on the nature of the product at its center. Anchor enterprise models are generally not suitable for grain or other generic staple crops. For such products, partnerships are costly and carry high risk since farmers can easily find and sell to other buyers than their anchor enterprise partner if market prices rise above the agreed price for the partnership (side-selling). Similarly, if market prices drop below the agreed price, enterprises may buy elsewhere (side-buying). Rather, these partnerships are most likely to be economically justified for higher value, less widely grown, more specialized, more complex to produce or process, or highly perishable agricultural products. For these products, the risk of default is lower as the reduction in transaction costs provides both parties with strong incentives for maintaining a longer-term commercial relationship. These incentives are especially important as the legal framework governing commercial partnerships in Malawi’s agrifood sector remains underdeveloped. Formal contracts were found to be important but not central to successful anchor enterprise operations. Partnerships that endure are built on a strong economic rationale, clear financial incentives for all parties, and a degree of bilateral dependency. Anchor enterprise models cannot be profitably and sustainably employed for many types of commercial agricultural production in Malawi. Consequently, only a small portion of farming households can directly participate, and the poorest and most vulnerable are generally less likely to be included. Nonetheless, where such models work well, they can deliver indirect benefits to the broader rural community, including its poorer and more vulnerable members, by stimulating local demand for labor, goods, and services. Complementary interventions aimed at strengthening the capacity of the poorest households to capture these indirect benefits may, however, be necessary for the model to contribute meaningfully to inclusive development. A model centered around commercial farms or agro-processors requires an enabling environment for such enterprises to operate effectively. This includes macroeconomic stability, an investment climate that facilitates private investment in agribusiness, and trade and exchange rate policies that support formal exports. To be sustainable, anchor enterprise models must be grounded in a strong economic rationale for partnering. Government and development partners can, however, support such partnerships without eroding their commercial foundations by, for example, investing in new institutions for conflict prevention and resolution, providing enterprises with assistance in managing relationships with smallholder partners, organizing financial and business training for farmers to reduce information asymmetries, or supporting organizations that can act as effective third-party intermediaries.

Can cash and therapy work in conflict settings?

A randomised evaluation of a cash and psychological intervention in Ethiopia shows that the joint intervention is needed to improve both mental health and economic outcomes, but the effectiveness of the combined intervention is attenuated by active conflict.

Evaluating the impact of tariffs on US agriculture a year after liberation day

In April 2025, the Trump administration levied 10 percent tariffs on virtually all countries and higher “reciprocal” tariffs on certain countries, ushering in a new and uncertain tariff architecture that saw significant changes, exemptions, and additional actions over the following year. The tariffs modestly reduced overall US agricultural and food imports, but with significant heterogeneity by exporting country and product category. The tariffs had mixed effects on US agricultural exports, with exports to China and Canada falling partly because of retaliatory tariffs and consumer reactions, respectively. After imposing the tariffs, the United States negotiated several bilateral trade deals with other countries. However, given the lack of product-specific details, China’s continued retaliatory measures, and the Supreme Court’s decision striking down the bulk of US tariffs, it is unclear whether these deals with actually improve agricultural market access for US exporters.

War and resilience: The multifaceted impacts of Sudan’s conflict and pathways to recovery

Sudan is facing one of the most severe humanitarian and economic crises in its modern history. The current civil war has displaced millions and severely damaged livelihoods, markets, and institutions, causing a rapid deterioration in the economy, agrifood systems, and population welfare. War and Resilience: The Multifaceted Impacts of Sudan’s Conflict and Pathways to Recovery situates the current conflict within Sudan’s longer historical trajectory, explaining how structural factors contributed to the war’s progression and scale. Drawing on recent household and enterprise surveys, satellite indicators, market price data, and economywide modeling, the book documents the crisis’s impacts and identifies realistic entry points for stabilization and recovery. Written by leading IFPRI researchers and colleagues, War and Resilience highlights how Sudan’s population has shown remarkable resilience through social networks, remittances, informal support systems, and adaptation across rural and urban settings. Its final chapters offer decision-makers a forward-looking assessment of pathways toward recovery.

Origins and causes of Sudan’s conflict: Domestic and international perspectives

The war between the Sudanese Armed Forces (SAF) and its subsidiary paramilitary Rapid Support Forces (RSF) that began in April 2023 follows a succession of civil wars that devasted the economically marginalized, socially ostracized, and politically disenfranchised southern and western regions of Sudan, but it has now brought the conflict to the country’s geographic and economic power center. Unlike the decades-long North–South civil wars or the ongoing deadly conflict in Darfur, today’s conflict began in Khartoum and the agriculturally rich heartland of Central Sudan, bringing death and destruction to the central Aj Jazirah and Sennar states, before moving south and west to Darfur and Kordofan. The same historical, economic, political, and ethnic factors that fueled those previous conflicts are at play now, as the belligerent factions seek to control the country’s resources. This time, however, after working together to halt efforts to democratize Sudan, the SAF and RSF turned on each other, each seeking to dominate the kleptocratic state system.

Introduction [in War and resilience: The multifaceted impacts of Sudan’s conflict and pathways to recovery]

Sudan is experiencing one of the most severe humanitarian and economic crises in its modern history due to the ongoing conflict between the Sudanese Armed Forces (SAF) and the Rapid Support Forces (RSF). The war has devastated livelihoods, displaced millions, and significantly weakened the country’s agrifood system and broader economic structure. Since the conflict erupted in April 2023, it has escalated into the world’s largest displacement crisis, with nearly 12 million people—nearly one-third of Sudan’s population-forced to flee their homes, including 4.5 million refugees who have sought safety in neighboring countries, including Egypt, Chad, South Sudan, and Ethiopia.

Conflict-induced trade dynamics: A gravity framework analysis of Sudan’s agricultural exports

Long before the April 2023 eruption of armed conflict between the Sudanese Armed Forces (SAF) and the Rapid Support Forces (RSF), Sudan’s economy was crippled by conflicts. The country’s agricultural production and productivity, internal trade, exports, and overall macroeconomic performance have all been adversely affected, and disruptions to the agrifood system, food insecurity, poverty, and malnutrition will likely remain if the conflict continues.

State failure and elite capture of Sudan’s agrifood system

Since the outbreak of Sudan’s civil war in April 2023, nearly 12 million people have been displaced, and an estimated 44,000 have been directly killed by the violence (UNHCR 2026; ACLED 2025). Many more are estimated to have suffered from war-related disease and malnutrition (Roberts 2025). The decimation of the capital city of Khartoum—the epicenter of the jubilant civilian uprisings in 2019—epitomizes the country’s short journey from a promising democratic opening to a failed state.

Worsening food security in Sudan amid conflict

The conflict in Sudan, primarily between the Sudanese Armed Forces (SAF) and the Rapid Support Forces (RSF), has escalated since April 2023 into a significant crisis, affecting the nation’s stability and security and worsening humanitarian conditions. The conflict has severely degraded the food security of many Sudanese households, with profound effects on their diets, coping strategies, and overall welfare.

Human capital at risk: The impact of conflict on health and education in Sudan

Human capital, including the knowledge, skills, and health of a population, is the foundation for economic growth and development (Lucas Jr. 1988; Mankiw et al. 1992; Pelinescu 2015). Healthcare and education stand out as critical pillars that directly enhance human capital, influencing individual well-being, workforce productivity, and development (Barro and Sala-i-Martin 1995; Schultz 2003; Hanushek and Woessman 2012). Access to quality healthcare ensures a healthy and productive population capable of contributing to economic activities, while education equips individuals with the skills and knowledge essential for innovation and global competitiveness. Together, these sectors constitute the backbone of a nation’s resilience and long-term prosperity (Kim and Ahn 2020; Wang and Gu 2024).

Cereal production, markets, and policy in Sudan

Cereal production has long been a cornerstone of Sudan’s food security and economy, especially wheat, sorghum, and millet. Given the importance of these staples, policy related to imports and prices of wheat (and sorghum, to a lesser extent) has major effects on food production and consumption. In particular, before 2023, government interventions in wheat markets involved huge implicit—and sometimes explicit—fiscal costs, including interventions on large food aid inflows, official sales prices, direct controls on commercial imports, and subsidies on wheat milling (D’Silva and Badawi 1988; Faki and Taha 2009; Abdelaziz et al. 2022). These policies have generally benefited urban consumers at the expense of rural producers and have not always been well-targeted to the poor (Resnick 2021; Resnick 2026, Chapter 3 in this volume).

Economywide impact of Sudan’s conflict and pathways to recovery

Massive human displacement and economic devastation have resulted from Sudan’s ongoing conflict, which erupted on April 15, 2023, between the Sudanese Armed Forces (SAF) and the Rapid Support Forces (RSF). According to the United Nations High Commissioner for Refugees, as of February 2, 2026, nearly 12 million people were internally displaced in Sudan, and 4.5 million had sought refuge in neighboring countries (UNHCR 2026). Public services, including health, education, and sanitation, have collapsed in many regions, compounding the humanitarian crisis and further destabilizing the socioeconomic fabric of the country.

Monitoring economic activities: Leveraging satellite and remote-sensing technologies

Understanding disruptions to economic activities in conflict-affected regions such as Sudan is essential for policymakers, humanitarian organizations, and researchers seeking to develop effective response strategies. However, traditional data collection methods, such as official government statistics and household surveys, become unreliable or impractical in these contexts due to security risks, displacement, and institutional breakdowns. In such environments, satellite and remote-sensing technologies provide a powerful alternative, offering near real-time, scalable, and objective insights into economic disturbances, infrastructure damage, population displacement, and environmental degradation. Advances in Earth observation technologies now allow researchers to monitor the economic consequences of conflicts with great accuracy and efficiency, even in regions where on-the-ground data collection is impossible (Hoogeveen et al. 2016; Hoogeveen and Pape 2020; Abay et al. 2023).

Food consumption patterns and dietary diversity amid conflict

Sudan is currently experiencing one of the most severe food security crises globally. According to the Integrated Food Security Phase Classification (IPC) more than 21.2 million people—45 percent of the population—are acutely food insecure (IPC Phase 3 or above), with more than 146,000 people facing catastrophic levels of food insecurity (IPC Phase 5) as of February 2026 (IPC 2025). As of September 2025, El-Fasher (North Darfur) and the besieged town of Kadugli (South Kordofan) were classified as experiencing famine (IPC Phase 5) with reasonable evidence. These conditions were expected to persist through January 2026. The crisis has also led to the acute malnutrition of 4.7 million children under five and pregnant and breastfeeding women and girls (IPC 2024a).

A Sudanese strategy for postconflict, agriculture-led transformative growth

The intense factional war between the Sudanese Armed Forces (SAF) and the paramilitary Rapid Support Force (RSF) that erupted in April 2023 has devastated Sudan. This war is a tragic legacy of the kleptocratic regime of General Omar Al-Bashir, which ruled the country from 1989 until it was deposed by the leadership of the two armies in 2019, following a massive popular uprising in December 2018 (see Chapter 2 for details). The presence of a divided military institution in Sudan has been attributed to the coup-proofing strategy of “coup-fearing” autocrats, who were willing to undermine the state’s military effectiveness to extend their own tenure (Powell 2014).

Delivering aid amid active conflict and insecurity: Digital transfers for delivering social and humanitarian assistance in Sudan

The recent resurgence of armed conflict in Africa is increasing the need for shock-responsive humanitarian and social assistance programs. For example, the armed conflict in Sudan, which erupted in April 2023, has caused the world’s largest displacement crisis, creating a multifaceted humanitarian crisis that requires significant investments in assistance. Armed conflicts in Africa are aggravating poverty and hunger (Corral et al. 2020) and threatening important gains in poverty reduction made in the last few decades. This is causing major setbacks to achieving the Sustainable Development Goals (SDGs) by 2030 (Corral et al. 2020; World Bank Group 2020), particularly SDG2 (Zero Hunger), SDG3 (Good Health and Well-Being), and SDG16 (Peace, Justice, and Strong Institutions).

Drivers of vulnerability and low resilience in Sudan

Sudan is currently facing one of the most severe crises in its modern history, with conflict, economic collapse, and climate disasters driving unprecedented levels of instability. Since April 2023, when the conflict erupted between the Sudan Armed Forces (SAF) and the Rapid Support Forces (RSF), the country has experienced a complete breakdown in governance and a near-total collapse of key economic and social structures, leading to one of the world’s largest internal displacement crises and an escalating humanitarian emergency.

Shocks, coping, and household livelihood strategies in wartime

Since the eruption of conflict between the Sudanese Armed Forces (SAF) and the Rapid Support Forces (RSF) in April 2023, Sudan has experienced one of the most severe humanitarian and economic crises in recent history. Beyond the tragic toll in lost and displaced lives, the conflict has profoundly disrupted livelihoods, dismantled social safety nets, and eroded the foundations of food and income security across the country. The ongoing war has affected millions, displacing communities and decimating livelihood systems across both rural and urban areas.

Toward a prosperous and secure Sudan: A way forward

As Sudan’s ongoing conflict enters its third year, the scale of human suffering and economic devastation continues to escalate. The brutal war between the Sudanese Armed Forces (SAF) and the Rapid Support Forces (RSF) has devastated livelihoods, shattered infrastructure, and crippled the country’s agrifood systems and broader economy. Nearly 12 million people—one-fourth of Sudan’s population—have been displaced, including more than 4 million refugees who have fled to neighboring countries such as Egypt, Chad, South Sudan, and Ethiopia (UNHCR 2026). The death toll is estimated to be more than 44,000 as of September 2025 (ACLED 2025), though some assessments suggest fatalities could exceed 150,000 when accounting for deaths from violence, starvation, and disease (Sampson 2025). Children have borne the brunt of this devastation: 16 million are in urgent need of humanitarian assistance, and more than 17 million school-age children are currently out of school. The widespread destruction of hospitals, schools, and essential services continues to deepen the crisis, threatening to reverse decades of development and push the country toward systemic collapse.

Simplifying crop models into statistical emulators of varying complexity

Process based crop simulation models can be used to anticipate how crop yields behave under different weather conditions which makes them useful for assessing the implications for yields of weather variability, uncertainty, and climate change. However, they can be cumbersome to use or embed in other models. Hence, developing statistical models that emulate the full models can provide a lighter-weight means of harnessing their power for rapid or high-volume assessments. We develop emulators for several major crops. Climate and fertilizer rates are matched to the yields simulated by a full crop model to provide a dataset covering the entire land surface of the globe. We use neural network specifications to be able to easily try out different levels of complexity. The final selection of the emulator models is a balance between complexity and performance. The large amount of data meant that the emulators could support complicated specifications. We ultimately settled on models with approximately 200 parameters. Neither rainfed nor irrigated conditions were consistently better performing. In general, the r-squared values of the estimated emulators ranged from 0.85 to 0.95. No crops appeared significantly easier or more difficult to model than the others. The emulators we developed provide a simple substitute for more complicated crop models when a high level of detail is not needed. The approach can be easily updated with new data or be applied to more specific circumstances if necessary by creating custom datasets that emphasize the particular conditions anticipated to be most important.

Spatial disparity, information, and the economics of cool transportation: Insights from a randomized controlled trial in Nigeria

Food loss is a significant source of economic inefficiency in value chains. In many developing countries, including Nigeria, a majority of fruits, vegetables, and other perishable foods are lost after harvest, due in large part to inadequate postharvest handling or low adoption of post-harvest management technologies, particularly cooling technologies such as temperature-controlled transportation and cold storage. To examine the economic impacts of cool transportation connecting vegetable-producing states in northeast Nigeria to large demand centers in Nigeria’s southern regions, we introduced a randomized controlled trial. Cool transportation was found to have a large and statistically significant impact: sales price, revenues, and profits increased substantially for the origin-state marketers. A larger portion of sales price increase at the destination market is attributed to refrigeration, that is, quality preservation through cooling. About 66 percent of this increase comes from cooling, with an additional 34 percent from transportation. An information experiment further showed that improved quality information through labelling that identifies the origin of the produce creates price premiums at the destination market. This implies that significant economic gains can be generated not only from narrowing supply–demand gaps in different markets but also, potentially, through mitigating spatial asymmetric information.

IFPRI Malawi maize market report, March 2026

Average retail prices of maize declined by 6 percent in March. Imports of newly harvested maize from Mozambique depressed retail prices in Southern and Central Malawi, while exports to Zambia and Tanzania propped up prices in Northern Malawi, reducing regional price differences in the country.

Creating a taro yield emulator and using it to study climate change impact on taro in Papua New Guinea

This paper develops a taro yield emulator to assess climate change impacts on taro production in Papua New Guinea (PNG). The emulator uses a fixed-effects polynomial regression trained on DSSAT simulations to capture non-linear, stage-specific responses of taro yields to rainfall and temperature. Historical MSWX weather and future climates from CMIP6/ISIMIP3b and a large MIT-IGSM/AgERA5 sample are used to drive the emulator and assess changes in average yields, yield variability, and the frequency of low-yield years across PNG. Our analysis shows that taro appears to be sensitive to both low- and high-rainfall levels during particular phases of growth and is sensitive to heat during particular phases, as well. Our visit to farmers fields in the Markham Valley along with discussions with experts at GrowPNG in Lae, NARI, and PNG University of Technology in Lae alerted us to the fact that drought was a serious problem for taro, but the model revealed the additional issues with high rainfall and high temperature, along with the additional information about the months that were particularly important for determining the degree of damage that adverse weather might do to yields. National-average yield changes by mid-century under high-emissions scenarios are projected to be small based on the median projections across climate models, however one of the climate models projects a much larger temperature increase relative to the other models, and for that climate model, the yield reduction is around 9% on average.

Ensuring inclusiveness, sustainability, and efficiency of food system transformation in the ASEAN and BIMSTEC countries “ATMI-II”

The project “Ensuring Inclusiveness, Sustainability, and Efficiency of Food System Transformation in the ASEAN and BIMSTEC Countries – (ATMI-II)” responds to the rapid transformation of agri-food systems across selected Association of Southeast Asian Nations (ASEAN) and ay of Bengal Initiative for MultiSectoral Technical and Economic Cooperation (BIMSTEC) member states. These countries face significant development challenges, including persistent rural poverty, inequality across socio-economic groups, and high vulnerability to climate change and natural disasters. As agricultural markets become more integrated regionally and globally, concerns have intensified regarding inclusiveness, particularly the participation of smallholder farmers, women, and youth in value chains, markets, and policy processes.

Pre- and postharvest losses and their correlates in the millet value chain in Nigeria

Food losses continue to constrain food security, rural incomes, and agrifood system efficiency in sub-Saharan Africa, yet comprehensive micro-level evidence across entire value chains remains scarce. This study provides a detailed assessment of pre- and postharvest losses along the millet value chain in northwestern Nigeria, focusing on producers, aggregators, and processors in Sokoto and Zamfara states—two major millet-producing regions. Millet is a nutritionally rich and climate-resilient staple that plays a critical role in Nigeria, making loss reduction in this value chain particularly important for food system resilience. The analysis draws on a purposefully designed baseline survey conducted in 2024, covering 595 millet producers and downstream value chain actors. The study applies a novel attribute-based loss measurement methodology that captures both quantitative losses (physical grain loss) and qualitative losses (quality degradation and associated price penalties), allowing estimation of losses in both volume and value terms across multiple nodes of the value chain. In addition to descriptive loss accounting, econometric models are employed to identify factors correlated with the incidence/likelihood and intensity of preharvest and postharvest losses at the producer level. The results show that millet losses are widespread and concentrated at early stages of the value chain. Nearly all producers experience losses, with preharvest and on-farm postharvest stages accounting for the largest share. Total losses along the value chain average about 9 percent of total volume of production and 6 percent of total value of production. These estimates are comparable to the findings by the African Postharvest Losses Information System of approximately 9 percent millet losses in postharvest production activities in Nigeria. Producer-level losses dominate overall losses, although processors also incur substantial losses during storage, handling, and transportation. Spillage, pest infestation, moisture exposure, and inadequate handling practices are the most frequently reported causes of postharvest losses among downstream actors, although losses by aggregators are generally low. Loss patterns vary systematically across space and demographic groups. Producers in Zamfara experience significantly higher losses than those in Sokoto, with preharvest losses playing a more prominent role. Youth and male producers incur higher total losses than mature producers, while gender differences are also observed in the composition and timing of losses across production stages. These patterns underscore the importance of spatially targeted and demographically sensitive loss-reduction strategies. Econometric results highlight the central role of technology adoption, asset ownership, and management practices in loss reduction. Higher education levels, greater asset ownership, and larger farm size are associated with lower loss intensity, while preharvest shocks significantly exacerbate postharvest losses. The use of improved transportation, winnowing, and storage technologies substantially reduces postharvest loss intensity, whereas higher rainfall and temperature during postharvest periods increase losses. Overall, the study demonstrates that food losses in Nigeria’s millet value chain are systemic but largely preventable. Effective loss reduction requires integrated, value chain–oriented interventions that combine improved production and postharvest technologies, climate adaptation measures, infrastructure investment, and targeted support for youth and smallholders. By providing rigorous micro-level evidence across multiple value chain nodes, the study strengthens the empirical foundation for food loss reduction policies and agrifood system transformation in Nigeria.

Fruit intake among women of reproductive age in northern Tanzania: Baseline findings from the FRESH end-to-end evaluation

To ensure overall health and reduce risk of non-communicable disease (NCDs), a healthy diet low in fat, sugars and salt and high in fruit and vegetables (F&V) is recommended. In most population groups, however, F&V intake is below the World Health Organization (WHO) recommendation of 400 g per person/day. In Tanzania, a recent scoping review found that F&V intake was below recommended levels in all population groups examined. Low F&V intake is due to a complex interplay of desirability, affordability, accessibility and availability. The CGIAR Research Initiative on Fruit and Vegetables for Sustainable Healthy Diets (FRESH), now under the CGIAR Science Program on Better Diets and Nutrition (BDN), is designing an end-to-end approach to be evaluated in Northern Tanzania, as previously described in the Research Brief 1. A baseline survey was implemented, and dietary intake and nutrient adequacies among women of reproductive age (WRA, 15-49 years of age) participating in the baseline survey were summarized elsewhere. Here we provide a deep dive into fruit intake among these women.

Saving lives through technology: Mobile phones and infant mortality

Asking the right question: Toward a research agenda for responsible GAI in agricultural extension

This study explores how generative AI (GAI) tools for agricultural extension can be designed and evaluated more responsibly. While current GAI systems offer scalable, personalized advice, they often ignore the lived realities of smallholder farmers—especially women—by relying on generic datasets and rigid evaluation metrics. We investigate three complementary methods: adversarial testing to expose gendered and contextual blind spots in model outputs; deliberative stakeholder engagement using the C-H-A-T framework, which focused on Collective knowledge, Human insight, Augmentation, and Trust, to surface value tensions and design trade-offs; and field-level insights from extension officers to uncover trust-building, diagnostic reasoning, and social intelligence absent from static GAI interactions. Together, these approaches reveal that responsible GAI requires more than technical accuracy. It demands participatory design processes that foreground user realities, surface stakeholder assumptions, and account for social and institutional context. We recommend developing gender-responsive benchmarks, embedding reflexive, participatory design methods, and modeling advisory reasoning based on real-world extension practice. The findings contribute to a growing agenda for responsible AI development—highlighting the importance of aligning GAI tools not only with technical goals, but with the social, cultural, and political contexts in which they operate.

Trade-offs and synergies in agroecosystem services with organic and integrated nutrient management in South Asian agri-food systems: Evidence from a meta-analysis

Absorption of zinc from mixed diets containing conventional Bangladeshi rice, zinc-biofortified Bangladeshi rice, or conventional Bangladeshi rice with added zinc among young children from a peri-urban community in Bangladesh

Background Previous studies showed total absorbed zinc (TAZ) was comparable in diets containing a higher zinc rice variety or conventional rice variety (Lo-Zn CR). This study compared TAZ in a polished zinc-biofortified rice (Hi-Zn BfR) compared with Lo-Zn CR. Objective To measure the amount of TAZ by young Bangladeshi children from Hi-Zn BfR, Lo-Zn CR, or CR plus sufficient exogenous zinc fortificant (Lo-Zn CR+Zn) matching the zinc content of Hi-Zn BfR. Methods A total of 47 children 36–59-mo-old were enrolled in a crossover study. On the day 1, children received a Lo-Zn CR diet. On days 2 and 4, group A (n = 23) received 150 g of Lo-Zn CR and group B (n = 24) received 150g of Lo-Zn CR+Zn as part of a mixed diet. On days 3 and 5, both groups received 150 g of Hi-Zn BfR. Fractional zinc absorption (FZA) was measured in all diet periods using a triple-isotope tracer (oral 67-Zn and 70-Zn; intravenous 68-Zn) ratio technique; TAZ was calculated as product of zinc intake [total dietary zinc (TDZ)] and FZA. Results TDZ was 4.88, 6.14, and 6.70 mg/d when fed Lo-Zn CR-, Lo-Zn CR+Zn-, and Hi-Zn BfR-containing diets, respectively. Mean FZA: 0.23 ± 0.041, 0.169 ± 0.035, and 0.212 ± 0.048 for respective diets (Lo-Zn CR compared with Hi-Zn BfR: P = 0.26; Lo-Zn CR+Zn compared with Hi-Zn BfR: P < 0.001; and Lo-Zn CR compared with Lo-Zn CR+Zn: P < 0.001). Mean TAZ from respective diets were 1.13 ± 0.23, 1.04 ± 0.20, and 1.40 ± 0.33mg/d. TAZ was not significantly different between Lo-Zn CR and Lo-Zn CR+Zn diets (P = 0.52) but was significantly more in Hi-Zn BfR when compared with other 2 diets (P < 0.001 for both). Conclusions A single-day ration (150 g total) in 3 equally divided servings of Hi-Zn BfR could satisfy 47% of the recommended daily requirement of zinc (3 mg/d) for children 1–3-y old and 28% for children 4–8-y old (5 mg/d) compared with 37% and 23% from Lo-Zn CR for the same age groups, respectively. Hi-Zn BfR is a meaningful component of preventive option for childhood zinc deficiency where rice is staple.

Systematic risk profiling: Assessing compounding economic risks in developing countries

This paper presents a systematic risk profiling (SRP) framework to identify the most critical economic risks facing developing countries. Integrating computable general equilibrium (CGE) models with historical shock data and machine-learning tools, we examine how compound shocks affect development outcomes. We apply this method to Kenya, Rwanda, and Malawi, simulating thousands of plausible combinations of world price, capital flow, and productivity exogenous shocks and their impacts on countries’ GDP, household consumption, poverty, and undernourishment. The results reveal distinct risk profiles driven by structural differences: Kenya’s primary vulnerability is the volatility in global beverage crop prices, whereas Rwanda and Malawi face the highest risks from domestic root crop and cereal yields, respectively. These findings underscore that vulnerability is not just a function of shock magnitude, but of the specific structure of each economy. Specifically, the high economic volatility in Malawi and Rwanda is driven by the larger role of subsistence agriculture and more volatile domestic yields, whereas Kenya’s agricultural sector is more export-oriented. Unlike standard ad hoc scenario analysis, SRP quantifies both the likelihood of compound events and the relative importance of their drivers. This transparent, scalable framework provides policymakers a new tool to move beyond reactive measures and design targeted, country-specific resilience strategies for an increasingly volatile world.