Ethiopian Agricultural Transformation Agency

ABSTRACTEthiopia's development ambitions rest on the foundation of a healthy population, yet its nutrition sector remains stalled despite decades of planning and investment. Nearly 38% of children under five are stunted, and food insecurity continues to affect millions. Landmark initiatives like the National Food and Nutrition Policy and the Seqota Declaration demonstrate strong political will—but implementation and scale‐up falters due to entrenched structural failures. At the core of this breakdown is an overstretched and under‐resourced frontline workforce. Health Extension Workers, while committed, are burdened with wide‐ranging responsibilities, and lack the specialized training needed for effective nutrition service delivery. As a result, national strategies often collapse at the community level, where change is most urgently needed. This is further compounded by fragmented coordination. Despite the multisectoral nature of malnutrition—spanning health, agriculture, education, and social protection—ministries and partners frequently work in silos, sending conflicting messages to the same households. Meanwhile, valuable research and data remain disconnected from policy and program implementation, limiting the system's responsiveness and accountability. The path forward requires more than incremental fixes. Ethiopia needs specialized community nutrition workers to bridge the last‐mile gap, a high‐level coordination mechanism to align sectoral actions, and agile policies grounded in real‐time evidence. Without these structural reforms, the burden of malnutrition will continue to erode the country's human capital and economic potential. This is not just a health crisis—it is a critical bottleneck to national progress. The time for structural transformation is now.

Recent Lancet Global Burden of Disease Study projections highlight a significant transformation in sub-Saharan Africa’s (SSA) health landscape by 2050 [1]. Although global age-standardised disease burden and life expectancy are anticipated to improve, SSA will move from primarily impacted by communicable, maternal, neonatal, and nutritional diseases (CMNNs) to an increasing prevalence of non-communicable diseases (NCDs). […]

IntroductionAs one of the agglomeration models targeting cluster-based rural development, cluster farming has been promoted in Ethiopia and it is already reported to have significant welfare implications, but participation rates are not as high as expected. This study examines the role of land as a constraint to the development of cluster-based development in Ethiopia both using extensive and intensive measures of cluster farming. The study further disaggregates farm households based on their farm size to better understand potential heterogeneities in the relationship between farm size and cluster farming. The paper also documents other household socio-economic and network characteristics that may matter in cluster farming.MethodsWe use a large-scale farm household data from 3,969 households coupled with some expert insights on cluster farming in Ethiopia. Households in the study areas grow major staples such as maize, wheat, teff, malt barley, and sesame in four main regions of Ethiopia. We employ a double hurdle model to examine both the decision to participate and the extent to which households participate in cluster farming. By extent of participation, we refer to the amount of land and share of land farm households contribute to cluster farming. For robustness purposes, we also estimate the Tobit and Linear Probability Models.ResultsWe show a positive association between farm size and cluster farming both at the extensive and intensive margins. This relationship turns negative for large amounts of land. This shows that cluster farming increases with farm size up to a threshold beyond which it declines. We also find suggestive evidence that participation rates are lower for small-scale farms, but also declines for large-scale farms. In addition, we show that access to information and network characteristics also matter in enabling cluster farming.ConclusionThe findings of this study are relevant in the framework of plans to upscale the cluster-based development initiative in Ethiopia. Attention to landholding issues is key and may be an important area where policy action can be geared to boost cluster farming. Moreover, our results inform potential targeting plans that aim to increase the participation of small-scale farmers who are usually the intended targets of such programs.

Abstract Cluster farming is increasingly recognized as a viable means of improving smallholder economic integration and commercialization in many developing countries. However, little is known about its impact on smallholder welfare and livelihoods. We examine the relationship between cluster farming and smallholder commercialization using a large‐scale survey of 3969 farm households in Ethiopia cultivating high‐acreage crops such as teff, wheat, maize, barley, and sesame. Using switching regressions and instrumental variable estimators, we show that cluster farming is associated with commercialization measured as commercialization index, market surplus value, and market price. To further deal with endogeneity concerns, we also employ some pseudo‐panel models where we observe similar insights. Beyond this, we account for heterogeneities by disaggregating households based on farm scales and crops cultivated. Our findings show that cluster farming is positively associated with commercialization for all farms and crop types despite this disaggregation. However, the related gains are higher among medium and large farms and vary per crop type. These findings imply that cluster farming is crucial in improving smallholder commercialization and may be a critical entry and leveraging point for policy. We thus lend support to initiatives and plans that seek to upscale cluster farming as they can potentially improve smallholder commercialization with ensuing impacts on rural livelihoods and welfare.

Credit constraint is often considered as one of the key barriers to the adoption of modern agricultural technologies and low agricultural productivity in low- and middle-income countries. Past research and much of the policy discourse associate agricultural credit constraints with supply-side factors, such as limited access to credit sources or high costs of borrowing. However, demand-side factors, such as risk-aversion and financial illiteracy among borrowers could also affect credit-rationing of smallholder agricultural households. This study investigates the nature of credit constraints, factors affecting credit constraint status, and the effects of credit constraints on adoption and intensity of use of three modern agricultural technologies – small-scale irrigation, chemical fertilizer, and improved seeds. The paper also assesses whether credit constraints are gender-differentiated. Primary survey data were collected from sample farmers in Ethiopia and Tanzania, and Tobit and two-step hurdle econometric models were used to analyze these data. Results show that demand-side credit constraints are as important as supply-side factors in conditioning smallholders’ access to credit in both countries. We also find that credit is a binding constraint for the decision to adopt technologies and input use intensity in Tanzania but not statistically significant in Ethiopia. Results suggest that women are more likely to be credit constrained (from both the supply and demand sides) than men in both study countries. Based on these findings, we suggest that policies should focus on addressing both supply- and demand-side credit constraints to credit access, including through targeted interventions to reduce risk, such as crop insurance, and to strengthen the gender sensitivity of credit policies.

ABSTRACT This paper investigates the effect of devolved irrigation water management systems and complementary irrigation technologies on collective empowerment in Ethiopia. We find that households’ monetary, in-kind and labour contributions for irrigation water provision and appropriation are more common in farmer-managed gravity irrigation schemes compared with farmer-managed pump systems and jointly managed schemes. The most frequent conflict occurrence was observed in jointly managed gravity irrigation systems, followed by farmer-managed gravity systems. Our results indicate that irrigation users’ degree of participation, decision-making capacity and strength of local governance are also affected by several household, plot, village, scheme and climatic factors.

The ICAR-National Institute of Animal Nutrition and Physiology, Bangalore, funded by Indian Council of Agricultural Research (ICAR), Government of India, New Delhi has developed a tool named FeedBase-India, using secondary datasets. The software assesses feed supply and demand for livestock in India. The Ethiopian Agricultural Transformation Agency (ATA) showed considerable interest in this innovative software, which resulted in a collaboration between ICAR, ATA and the International Livestock Research Institute (ILRI), to adopt and adapt the concept for feed supply–demand analysis of livestock in Ethiopia. The supply is estimated from cropping, land use pattern, demand from livestock census and nutrient requirements for various categories of livestock based on their body maintenance, production and reproduction potentials. Key stakeholders were familiarized with the concepts, approaches, and software at an inception workshop held in Addis Ababa, Ethiopia between 1st and 3rd August 2017 at the ILRI campus. The database and tools were modified for Ethiopian conditions based on the data collected by ATA in two districts from each of the four main regions of Ethiopia. The tool relationally arranges these datasets using algorithms that connect feed quantity and quality to livestock maintenance and production requirements to calculate surpluses, deficits or sufficiency of feed biomass and of key nutrients such as dry matter, protein, total digestible nutrients and metabolizable energy. This enables users to compare and prioritize feed and animal interventions for impact. This will support researchers, development agencies, governments, industry and farmers in constructive planning and decision-making, resulting in higher livestock production and productivity, feed use efficiency and reduced cost of feeding.

A study was conducted to compare the carcass yield and meat quality of Rutana, Gumuz and Washera sheep of Ethiopia under two concentrate supplement levels (CSL), low (300 g/day) and high (450 g/day). The supplement contains 45% wheat bran, 26% maize grain and 29% Noug cake. A total of 36 sheep (12 from each genotype) were used in 3 × 2 factorial treatment arrangement (3 genotypes and 2 CSL) which was used in a completely randomized block design. Hay was fed ad libitum at a rate of 20% refusal. After the completion of 90 days fattening period, all sheep were slaughtered and meat sample from longissimus dorsi muscle of each animal was taken for sensory evaluation and instrumental measurement of tenderness and for color, pH, and chemical composition analysis. Slaughter body weight (SBW) (26.0 vs. 24.1 kg), hot carcass weight (HCW) (11.3 vs. 9.7 kg), dressing percentage (DP) on SBW (43.4% vs. 40.1%) and EBW basis (53.6% vs. 50.9%), and rib eye-muscle (REM) were higher for the high than low CSL. Rutana sheep had heavier HCW (11.9 kg) than Gumuz (10.1 kg) and Washera (9.4 kg) sheep. DP on EBW basis was higher for Rutana (54.7) than Washera sheep (48.1), while the value for Gumuz (50.9) was similar with both genotypes. Meat from high supplemented sheep had higher fat (9.7% vs. 8.8%), tenderness, juiciness, flavor and lower shear forces than the low level of supplementation. Most sensory parameters measured were in the order of Rutana > Gumuz > Washera sheep. It is concluded that Rutana sheep were relatively more suitable than Gumuz and Washera sheep for production of better carcass yield. The potential of Washera sheep to produce more carcass yield relative to their HCW, SBW and EBW was comparable with that of Gumuz sheep.

Wheat rust diseases pose one of the greatest threats to global food security, including subsistence farmers in Ethiopia. The fungal spores transmitting wheat rust are dispersed by wind and can remain infectious after dispersal over long distances. The emergence of new strains of wheat rust has exacerbated the risks of severe crop loss. We describe the construction and deployment of a near real-time early warning system (EWS) for two major wind-dispersed diseases of wheat crops in Ethiopia that combines existing environmental research infrastructures, newly developed tools and scientific expertise across multiple organisations in Ethiopia and the UK. The EWS encompasses a sophisticated framework that integrates field and mobile phone surveillance data, spore dispersal and disease environmental suitability forecasting, as well as communication to policy-makers, advisors and smallholder farmers. The system involves daily automated data flow between two continents during the wheat season in Ethiopia. The framework utilises expertise and environmental research infrastructures from within the cross-disciplinary spectrum of biology, agronomy, meteorology, computer science and telecommunications. The EWS successfully provided timely information to assist policy makers formulate decisions about allocation of limited stock of fungicide during the 2017 and 2018 wheat seasons. Wheat rust alerts and advisories were sent by short message service and reports to 10 000 development agents and approximately 275 000 smallholder farmers in Ethiopia who rely on wheat for subsistence and livelihood security. The framework represents one of the first advanced crop disease EWSs implemented in a developing country. It provides policy-makers, extension agents and farmers with timely, actionable information on priority diseases affecting a staple food crop. The framework together with the underpinning technologies are transferable to forecast wheat rusts in other regions and can be readily adapted for other wind-dispersed pests and disease of major agricultural crops.

Responses to potassium (K) fertilizer are reported in different parts of Ethiopia in recent years, contrary to the general perception that K fertilizer was not necessary on the soils. However, use of adequate K level for maximum economic yield is possible only when soil test data are calibrated against response curve for a given crop and soil type. This pot trial was conducted to calibrate K soil test with the response of teff (Eragrostis tef (Zucc.)) at application of increasing levels of K. Random soil samples (0–20 cm) were collected from 60 locations having Mehlich-3 (M-3) K soil test values ranging from 16 to 910 mg kg−1 across 20 teff growing districts in the highlands of Ethiopia. The relative biomass yield of teff was significantly correlated with Mehlich-3 extractable K, suggesting that the extraction method fairly estimated the available soil K. Soil test M-3 extractable K values were categorized, based on relative biomass yield, as “very low” ( 500 mg kg−1). And K application rates of 139 and 54 kg ha−1 for the very low and low K categories respectively would suffice for optimum teff yield. The critical limit of K in soil (M-3) using the graphical method was 210 mg kg−1 for the 85% relative biomass yield level. An inverse relation of yield response to the soil K status was observed suggesting that application of K fertilizer increases yield of teff in low status soils. However, field verification is required to draw sound conclusions.