The ensemble spans ten global economic models—AIM, CAPRI, ENVISAGE, FARM, GCAM, GLOBIOM, IMAGE, IMPACT, MAGNET, and MAgPIE—each representing food, environmental, and socioeconomic processes with different levels of detail. Although all are global, their internal structures vary in how they translate changes in diets, productivity, and losses into production, trade, prices, land use, and emissions.

Scenarios were jointly authored by MME coordinators and model teams, then iteratively tested through six submission rounds from late 2023 to mid-2025. A BAU (“current trends”) case serves as the counterfactual, while the centerpiece EL2 scenario mirrors key components of the 2025 EAT–Lancet report: movement toward a healthy reference diet, faster agricultural productivity growth, and reduced food loss and waste (FLW).

To keep the models aligned, teams standardized key drivers using SSP2 v.3 projections for population and GDP, shared productivity assumptions, and applied climate-related impact shocks consistent with RCP 7.0. These shocks include crop impacts (soybean, maize, wheat, rice), livestock impacts, and climate-driven labor productivity declines, then mapped onto each model’s native crop and livestock commodity sets.

Diet changes are implemented as consumer preference shifts toward the EAT–Lancet reference diet by 2050, with calories held via constant caloric coefficients. For fruits and vegetables, the target is treated as a floor, while animal-source foods operate more like a ceiling—populations can converge down toward the goal if they exceed it, but remain guided by regional trends if below.

For productivity, baseline yield growth rates are taken from long-running IMPACT updates informed by expert consultation and FAOSTAT-based trend analysis. EL2’s productivity improvement scales BAU growth by differences in per-capita GDP between SSP1 and SSP2, yielding roughly a 10–15 percentage-point yield growth increase over 2020–2050.

Model outputs are converted to relative changes against 2020 to enable cross-model comparison despite different native reporting formats. A reporting template captures 13 macro-regions and 13 sector types across crops and livestock, focusing on producer prices, production, land, employment, GHG emissions, water withdrawals, and nitrogen fertilizer use, acknowledging that not every model reports every variable.

To ground the simulation in history, the study uses FAO data (1961–2020) for production, area, yields, and value of production, then applies scenario-relative changes to FAO mean values for 2019–2021. Land-use context comes from HYDE v.3.3, and producer-value estimates are reconstructed from model producer prices multiplied by model production changes.

Subject of Research: Food systems transformation and global agricultural reshaping using a multimodel ensemble (MME) approach
Article Title: Food systems transformation would reshape global agriculture
Article References: Gibson, M., Sundiang, M., Mason-D’Croz, D. et al. Food systems transformation would reshape global agriculture. Nature (2026). https://doi.org/10.1038/s41586-026-10775-2
Keywords: multimodel ensemble; food loss and waste; EAT–Lancet diet; SSP2; RCP 7.0; agricultural productivity; land use; greenhouse gas emissions

Sorghum, a cereal grain with remarkable adaptability, serves as a staple food for millions and livestock feed in various parts of the world. The research team focused on anthracnose, a fungal disease caused by the pathogen Colletotrichum sublineolum, which inflicts considerable damage on sorghum crops, thereby hindering yield. Understanding and mitigating the effects of such diseases is critical for sustaining the agricultural landscape, especially in an area characterized by diverse climatic conditions.

The innovative approach taken by Earecho and Alemu involved an extensive phenotyping effort, which is the systematic measurement of observable traits of sorghum genotypes. By examining different genetic varieties under varying environmental conditions, the researchers discovered key characteristics that contributed to disease resistance. This data enables plant breeders to identify and select more resilient genotypes for future cultivation, paving the way for improved agricultural practices.

Central to their findings was the identification of specific phenotypic traits associated with higher resistance levels. These traits included leaf angle, height, and overall canopy architecture, which contribute to a plant’s ability to fend off infections. The selected genotypes showed promise not just in resisting anthracnose, but also in exhibiting robust growth patterns under stress conditions commonly found in Western Ethiopia.

Interestingly, the study revealed a genetic correlation between disease resistance and certain morphological traits. This relationship underscores the complexity inhered in plant breeding, demonstrating that selection processes must consider multiple dimensions of plant biology. Through rigorous genetic analysis and field trials, the authors were able to pinpoint particular genotypes demonstrating superior performance against fungal attacks.

Furthermore, as climate change continues to exacerbate agricultural vulnerabilities, the importance of such genetic research becomes even more pronounced. The researchers highlighted how shifts in temperature and precipitation patterns could magnify the spread and severity of anthracnose in sorghum fields. By selecting disease-resistant varieties, farmers can better prepare for the uncertain climate challenges that lay ahead.

In addition to immediate agricultural benefits, this research has broad implications for food security. Sorghum is not only a staple but also boasts drought-resistant properties, making it a critical crop in arid regions. With a more profound understanding of disease resistance, communities can enhance their self-sufficiency and reduce dependency on imported food supplies.

The methodology employed in the research was a blend of field trials and laboratory assessments, creating a comprehensive understanding of plant responses under real-world conditions. This dual approach is essential, as laboratory results alone can sometimes misrepresent how a plant species might react when exposed to the myriad of stresses found in nature.

As the study progressed, the researchers engaged local farmers to gather insights and feedback. This participatory approach ensured that the research remained relevant and that the solutions proposed would be practical for implementation in local farming practices. Engaging the agricultural community is vital for successful adoption of new varieties and techniques.

Additionally, their findings underline the urgency of developing a robust breeding program that prioritizes disease resistance in sorghum. Establishing partnerships with agricultural institutions and breeding companies could accelerate the diffusion of these resistant varieties into farming practice, enhancing the resilience of local food systems.

The authors’ comprehensive study also highlights the potential for future research avenues. Investigation into the underlying genetic mechanisms that confer anthracnose resistance could unlock new pathways for enhancing not only sorghum but also other economically important crops facing similar challenges. Expanding this research could foster greater insights into plant-pathogen interactions across various species.

In summary, the remarkable work by Earecho and Alemu represents a significant stride in the ongoing battle against agricultural disease threats. Through methodical phenotyping and a keen understanding of plant genetics, they have provided essential tools and insights that could reshape how sorghum is cultivated in Western Ethiopia and potentially beyond. This research not only stands to fortify sorghum against current challenges but also sets a precedent for the critical examination of resilience in other staple crops.

The urgency of these issues cannot be overstated. With global populations on the rise and climate patterns shifting, ensuring the sustainability and resilience of our food systems has never been more imperative. As such, the contributions of this study could serve as a vital component in the collective effort to secure food for future generations, enabling communities to thrive even amidst adversity.

The collaboration between researchers and local agricultural practices exemplifies the integrated approach needed to tackle these pressing challenges. With continued dedication to research and community engagement, the path to a more resilient agricultural future in Ethiopia—and worldwide—seems ever more attainable.

Subject of Research: Phenotyping sorghum genotypes for anthracnose resistance in Western Ethiopia

Article Title: Phenotyping sorghum genotypes for anthracnose resistance in Western Ethiopia

Article References:

Earecho, M.K., Alemu, H. Phenotyping sorghum genotypes for anthracnose resistance in Western Ethiopia.
Discov. Plants 3, 15 (2026). https://doi.org/10.1007/s44372-026-00478-3

Image Credits: AI Generated

DOI: https://doi.org/10.1007/s44372-026-00478-3

Keywords: Sorghum, Anthracnose, Phenotyping, Disease Resistance, Food Security, Plant Genetics, Agriculture, Climate Change.

Groundnuts, commonly referred to as peanuts in some parts of the world, serve as a vital source of protein and oil and play a crucial role in the livelihoods of many farmers. However, the rising temperatures and unpredictable rainfall patterns associated with climate change threaten the yield and viability of this important crop. As a result, there is an urgent need for farmers to shift towards practices that improve resilience and productivity. The research undertaken by Awoke et al. sheds light on the complexities surrounding the adoption of climate-smart practices, particularly within the context of gender.

The analysis begins by providing an overview of the climatic challenges facing farmers in Kenya’s arid and semi-arid lands. Here, droughts and irregular weather patterns not only reduce crop yields but also destabilize the economic security of farming communities. In such harsh conditions, it becomes imperative for farmers to understand and embrace innovative practices that can help mitigate these effects. This is where climate-smart agriculture steps in, offering strategies that promise not only to bolster groundnut production but also to enhance overall farmer resilience.

The authors of the study emphasize the critical role of gender in the adoption of agricultural technologies. Traditionally, farming practices have been viewed through a male-centric lens, often overlooking the contributions and needs of women. This gender bias can lead to significant discrepancies in technology adoption rates between men and women farmers. In their research, Awoke et al. analyze these discrepancies and explore how empowering women through access to information, resources, and technology can improve adoption rates of climate-smart practices.

One of the key findings of the study is the importance of education and access to information in the adoption process. Farmers who have participated in training programs and workshops are more likely to implement innovative practices in their farming. Education provides farmers not only with the necessary knowledge about climate-smart technologies but also equips them with the skills to effectively utilize these practices in their farming operations. In regions where literacy levels are low, targeted educational initiatives could significantly enhance the understanding and adoption of these vital agricultural practices.

Moreover, the research identifies socio-economic factors as determining elements impacting the adoption of climate-smart technologies. Factors such as land ownership, financial resources, and access to credit often dictate a farmer’s ability to invest in new technologies. Those with secure land tenure and greater financial stability are often in a better position to experiment with and adopt innovative practices. Consequently, the research suggests that creating a supportive economic environment is vital for increasing adoption rates across both male and female farming populations.

Additionally, the role of social networks cannot be overlooked in the discourse of technology adoption. The study reveals that farmers who engage actively in community groups or cooperatives are more likely to adopt climate-smart technologies. Such networks provide platforms for sharing experiences, exchanging knowledge, and accessing resources. These social interactions foster an environment of collective learning and support, which can be instrumental in overcoming the barriers to technology adoption.

Awoke et al. also highlight the significance of government policies and institutional frameworks in enhancing technology adoption. Supportive government policies, such as subsidies for climate-smart inputs and facilitation for access to markets, can create conducive conditions for farmers to embrace innovative practices. Furthermore, strengthening extension services to provide ongoing support and information to farmers is essential in ensuring that they remain informed about new technologies and practices available to them.

It is also critical to consider the environmental and economic impacts of these climate-smart agricultural technologies. The implementation of such practices is not only aimed at improving yield but also at promoting sustainability and reducing the ecological footprint of agricultural practices. For instance, crop rotation, intercropping, and organic farming methods can improve soil health, reduce dependency on chemical inputs, and enhance biodiversity. The research advocates for an integrated approach that balances economic gain with environmental stewardship.

In conclusion, the adoption of climate-smart agricultural technologies is a multifaceted issue influenced by a range of determinants, including gender dynamics, socio-economic status, education, social networks, and policy frameworks. As highlighted in the study by Awoke et al., addressing these factors holistically is essential for fostering an environment conducive to technological innovation in agriculture. The urgent need for adaptive agricultural practices in response to climate change cannot be overstated, and empowering farmers—especially women—is vital for achieving sustainable agricultural development in Kenya’s arid and semi-arid regions.

As we reflect on the findings of this comprehensive study, it becomes evident that the way forward hinges on a collaborative effort among researchers, policymakers, and communities. Ending gender disparities and ensuring equitable access to resources and information will not only enhance the resilience of farming communities but also contribute to broader food security and economic stability in the face of climate change. Moving towards climate-smart agricultural practices is not just about adaptation; it is about transforming the agricultural landscape for future generations.

Subject of Research: Determinants of climate-smart agricultural technology adoption in Kenya

Article Title: Determinants of adoption of climate-smart agricultural technologies and practices in groundnut production: a gender-disaggregated analysis in arid and semi-arid lands of Kenya

Article References:

Awoke, R.W., Kimurto, P. & Okello, D. Determinants of adoption of climate-smart agricultural technologies and practices in groundnut production: a gender-disaggregated analysis in arid and semi-arid lands of Kenya.
Discov Agric 3, 238 (2025). https://doi.org/10.1007/s44279-025-00406-1

Image Credits: AI Generated

DOI: https://doi.org/10.1007/s44279-025-00406-1

Keywords: Climate-smart agriculture, gender dynamics, technology adoption, groundnut production, Kenya, arid lands, semi-arid lands.