This policy brief examines the consequences of the Russia-Ukraine war on fertilizer and food commodities in Nigeria and the actions policymakers took in the agriculture sector in response to the war. This brief examines data from publicly available sources and policy responses from government documents and online newspapers. The results show that the Russia-Ukraine war has led to shortages in fertilizer availability, leading to high prices of fertilizer. Likewise, prices of major food commodities, such as maize, rice, wheat and cooking oils, have been on the rise.

Banana Xanthomonas wilt (BXW) is one of the most important diseases threatening banana production in Africa south of the Sahara (SSA). In this study, we examine the potential impacts of BXW on banana production, demand, and food security in SSA, if the disease spread across all banana-producing countries in the region. The analysis is based on a multidisciplinary approach that combines a mathematical model of field-level BXW spread over time with a dynamic global partial equilibrium economic model.

A critical question is whether agroecology can promote climate change mitigation and adaptation outcomes without compromising food security. We assessed the outcomes of smallholder agricultural systems and practices in low- and middle-income countries (LMICs) against 35 mitigation, adaptation, and yield indicators by reviewing 50 articles with 77 cases of agroecological treatments relative to a baseline of conventional practices. Crop yields were higher for 63% of cases reporting yields.

The Ethiopian Meteorology Institute (EMI) generates seasonal climate outlook forums three times a year and provides this information to various socio-economic sectors. These forecasts are crucial in sustaining and developing Ethiopia, as they help minimize risks associated with weather and climate hazards while maximizing positive impacts. The institute has implemented the National Framework for Climate Services in Ethiopia (NFCS-E) and started co-designing and co-producing climate services with key socio-economic sectors.

Context or problem
Quantification of nutrient concentrations in rice grain is essential for evaluating nutrient uptake, use efficiency, and balance to develop fertilizer recommendation guidelines. Accurate estimation of nutrient concentrations without relying on plant laboratory analysis is needed in sub-Saharan Africa (SSA), where farmers do not generally have access to laboratories.
Objective or research question

Abstract Flooded savannas are valuable and extensive ecosystems in South America, but not widely studied. In this study, we quantify the spatial distribution of soil organic carbon (SOC) content and stocks in the Casanare flooded savannas. We sampled 80 sites at two soil-depth intervals (0-10 and 10-30 cm), where SOC values ranged from 0.41% in the surface and 0.23% in the sub-surface of drier soils to over 14.50% and 7.51%, in soils that experienced seasonal flooding.

As the COVID-19 pandemic unfolded, questions arose as to whether the pandemic would amplify or pacify tropical deforestation. Early reports warned of increased deforestation rates; however, these studies were limited to a few months in 2020 or to selected regions.

The “International Certificate course in Digital Agriculture,” a collaborative capacity sharing initiative by
CGIAR’s International Rice Research Institute, New Delhi, and Sri Sri University, Odisha, under the CGIAR
Digital Innovation Initiative, was organized as an online diploma program aimed at bolstering the
technical capacity of agricultural students and professionals. Spanning seven weeks and 40 hours,
including assignments, this course uniquely catered to the needs of those passionate about digital

Citizen Science (CS) is increasingly being integrated into advanced scientific approaches to address complex problems and produce real-time evidence-based information for decision-making. The CS approach has also been used as a tool to foster community-based monitoring and learning, particularly on the sustainability of productive landscapes/watersheds.

The influence of climate and weather-based advisories in planning and managing agricultural systems under highly variable conditions was evaluated to understand the potential benefits and challenges associated with the use of probabilistic climate and weather information.