The Malabo Declaration on accelerated agricultural growth and transformation for shared prosperity and improved livelihoods is a set of goals that were adopted by Heads of State and Government of the African Union in 2014 in Malabo, Equatorial Guinea (AUC 2014).

The Zambezi River Basin (ZRB) in southern Africa connects eight riparian countries—Angola, Botswana, Malawi, Mozambique, Namibia, Tanzania, Zambia, and Zimbabwe. The population there mostly reside rurally, and over 80 percent of agriculture is attributed to smallholder farmers facing the brunt of the climate crisis. Digital technologies can facilitate and enhance climate adaptation and resilience, but their potential in ZRB is unassessed and the use relatively low.

A third of the land on the Earth is composed of grasslands, mainly used for forage. Much effort is being conducted to develop tools to estimate grassland productivity (GP) at different extents, concentrating on spatial and seasonal variability pertaining to climate change. GP is a reliable indicator of how well an ecosystem works because of its close connection to the ecological system equilibrium. The most commonly used proxies of GP in ecological studies are aboveground biomass (AGB), leaf area index (LAI), canopy storage capacity (CSC), and chlorophyll and nitrogen content.

This perspective describes the opportunities and challenges of data-driven approaches for crop diversity management (genebanks and breeding) in the context of agricultural research for sustainable development in the Global South. Data-driven approaches build on larger volumes of data and flexible analyses that link different datasets across domains and disciplines. This can lead

Acid tropical soils may become more productive when treated with agricultural lime, but optimal lime rates have yet to be determined in many tropical regions. In these regions, lime rates can be estimated with lime requirement models based on widely available soil data. We reviewed seven of these models and introduced a new model (LiTAS). We evaluated the models’ ability to predict the amount of lime needed to reach a target change in soil chemical properties with data from four soil incubation studies covering 31 soil types.

Identification of hybrids for commercialization is crucial for sustainable maize production in sub-Saharan Africa (SSA). One hundred and ninety test crosses, 10 tester × tester crosses + 10 hybrid checks were evaluated across 11 environments, 2017 to 2019. Inheritance of grain yield under Striga infestation, optimal and across environments was influenced by additive genetic action, but there was greater influence of nonadditive gene action under drought stress conditions.

Background | The challenges facing food, land, and water systems are numerous and complex. In addressing these interlinked challenges, the choices facing governments and their development partners have also become increasingly complicated. Synergies are possible, but trade-offs are often unavoidable. Decision-makers need better evidence to help them choose actions that minimize trade-offs and advance progress towards collective goals.

This study utilizes a recursive dynamic general equilibrium model calibrated with data for Tanzania to explore the link between agricultural and rural development spending and four development outcomes: economic growth, job creation, poverty reduction, and diet quality. Results show that no single expenditure option is the most effective in achieving all four desired development outcomes for Tanzania.

This toolkit covers topics such as: the impact of climate change on African agriculture and food systems; how we can transform African agriculture and food systems for a more sustainable and climate resilient future; the important national, regional, continental, and global initiatives to promote climate-smart agriculture, in Africa and worldwide; how to investigate and report key developments to target specific stakeholders, decision makers, networks towards desired behavior change; how to engage and report upcoming policy events (e.g., COP28); and how to engage with AICCRA partners on h

A large proportion of farm households in developing countries face a host of market and production risks that undermine their food security, make their income volatile, and make them hesitant to adopt new technologies or undertake new investments that might increase their long-term productivity and household welfare. Climate-related risks such as floods and droughts remain some of the most pervasive forms of production challenges.

Estimating genetic gains is vital to optimize breeding programs for increased efficiency. Genetic gains should translate into productivity gains if returns to investments in breeding and impact are to be realized. The objective of this study was to estimate genetic gain for grain yield and key agronomic traits in pre-commercial and commercial maize varieties from public and private breeding programs tested in (i) national performance trials (NPT), (ii) era trial and, (iii) compare the trends with the national average.

One of the Sustainable Development Goals (SDGs) is reducing food loss and waste (FLW) across all stages of food value chains, including the on-farm production, the off-farm postharvest, processing, and distribution, and the household consumption stages. We employ general equilibrium models for Bangladesh, Kenya, and Nigeria to assess the economywide implications of reducing FLW at different stages of value chains. Halving FLW results in GDP increases of between 1.1 and 2 percent, with up to 13 million people lifted out of poverty across the three countries.