The sequence of modules and themes follows a certain logic as per the growth and development cycle of the potato crop. Therefore, it is recommended to follow the same sequence during training sessions. This guide can be used either for the training of trainers (the training of potential trainers of producers) or directly for the training of producers. For each theme, the trainer-of-trainers or the trainer should allocate a minimum of 15 minutes for presentation and 10 minutes for questions and answers.

Both natural and managed systems in the Limpopo River basin in Southern Africa are highly dependent on rainfall. Information on total seasonal rainfall amounts is of great value for resource management and decision making for adaptation and building resilience to climate variability. Recent progress in the development of digital tools allowing the integrated representation of complex natural systems, the so-called digital twins, represent an opportunity for making.

This report describes the process carried out a pilot project to evaluate a scalable disruptive approach to integrating data for agronomy research that also incentivizes sustainable production and enables traceability using open data sharing protocol with self-sovereign identity (SSI).

This paper analyzes integrated crop-livestock farming systems in dryland regions of Senegal using household survey data and whole farm household modeling. It focuses on the Kaffrine and Thies regions, which exhibit differences in cultivated land area, staple crops grown, and livestock holdings. The analysis identifies region-specific opportunities to sustainably enhance productivity, resilience, and food security. The mechanistic model incorporates factors like crop mixes, livestock herd dynamics, climate impacts, economics, and labor to simulate entire farms.

The Index-based flood insurance (IBFI) is one of the outputs of the research under the initiative on Diversification in East and South Africa (UU), Work Package two (WP2): Bundling climate insurance solutions focusing on a case study in districts in Southern part of Zambia. This research was developed by the International Water Management Institute (IWMI) co-designed with an insurance institution and insurance product developers and co-implemented with the Ministry of Agriculture (MoA) and Disaster Management and Mitigation Unit (DMMU) of Zambia.

The frequency and severity of extreme weather events are presenting substantial challenges to communities and nations worldwide. The already escalating impact of climatic hazards is expected to persist due to ongoing climate change. While strides have been made in enhancing forecasting capabilities and establishing early warning systems, global coverage remains inadequate, with just 40% of African countries reporting a multi-hazard early warning system in place as of 2022.

Inclusive landscape management (ILM) is a holistic approach to managing landscapes that considers the needs of all stakeholders, including local communities, indigenous peoples, and marginalized groups. This Inclusive Landscape Management Plan (ILMP) seeks to provide a framework for the sustainable management and development of landscapes in the Ahafo Ano Southwest District (AASWD) of Ghana.

In fragile and conflict-affected settings and host communities, hunger, severe malnutrition, and water insecurity are on the rise, directly impacting the resilience of food, land and water systems. The interplay of these issues often gives rise to conflict and forced migration, with women and other marginalized groups disproportionately affected due to their limited access to channels of power and influence during shocks and crises.

This report is a comprehensive synthesis of insights, discussions, and recommendations stemming from Ukama Ustawi’s (UU’s), Learning Alliance's strategic session held during the Africa Day for Food and Nutrition Security (ADFNS) and the Comprehensive Africa Agriculture Development Programme (CAADP) Partnership Platform event in Zambia. The primary focus of the session was to explore practical strategies for operationalizing the Learning Alliance to achieve meaningful impact.

Potato is an important crop in Uzbekistan agriculture for multiple reasons. It contributes to food security and nutrition quality. This crop has been facing pests and diseases with limited efforts to address these issues. This rapid assessment conducted in spring 2023 helps to fill the gap in how the potato seed system is organized and functioning. We used the multi-stakeholder framework to collect information from key actors involved in the potato value chain. Our results show relatively weak ties among all the stakeholders.