The intensification of agricultural systems in sub-Saharan Africa (SSA) is necessary to reduce poverty and improve food security, but increased nutrient applications in smallholder systems could have negative consequences for water quality, greenhouse gas emissions, and air quality.

This training resource kit aims to support multi-stakeholder platforms and consortia at landscape level that aim to strengthen capacities for climate smart strategies and actions in food and agriculture. The training kit provides an introduction to a diversity of science-based tools and processes that can support climate smart approaches as well as practical support in how to collaboratively learn from each other in the process and co-create a roadmap for capacity strengthening in climate adaptation.

Livestock are a critically important component of the food system, although the sector needs a profound transformation to ensure that it contributes to a rapid transition towards sustainable food systems. This chapter reviews and synthesises the evidence available on changes in demand for livestock products in the last few decades, and the multiple socio-economic roles that livestock have around the world. We also describe the nutrition, health, and environmental impacts for which the sector is responsible.

The highlands of North Shoa in Amhara region are dominated by cereals (wheat, barley and tef) followed by food legumes. The productivity of cereals and food legumes is low due to biotic and abiotic factors as well as insufficient input supplies like certified seed, inoculants, and other inputs. Because of diseases and insect pests, acidity and water logging problems, farmers are reducing areas of food legumes and growing more cereals leading to low crop diversity leading to reduced soil fertility, incomes, and food diversity.

Livestock play a major role across Kenya, especially in smallholder mixed farms through provision of household nutrition and income through milk and meat. Equally, fertilization of cropland benefits from livestock manure, and livestock often act as insurance and saving. Despite the opportunities and benefits livestock production presents, livestock systems are also key drivers of environmental degradation, including increased nutrient loads, GHG emissions, water use, grassland degradation and land-use conversion.

Tropical peatlands are one of the largest natural sources of atmospheric methane (CH4) and play a significant role in regional and global carbon budgets. However, large uncertainties persist regarding their feedbacks to climate variations. The Energy Exascale Earth System Model (E3SM) Land Model (ELM) is an ongoing state-of-the-science model, which has developed new representations of soil hydrology and biogeochemistry and includes a new microbial-functional-group-based CH4 module.

Food, land, and water systems face daunting challenges in the future, and the body of research exploring these challenges is growing rapidly. This note is part of a series developed by the CGIAR Foresight Initiative to summarize what we know today about the future of various aspects of food systems. The goal of these notes is to serve as a quick reference, point to further information, and help guide future research and decisions.

Introduction: Bambara groundnut (BG) (Vigna subterranea [L.] Verdc) is an indigenous, resilient, but underutilized leguminous crop that occurs mostly as genetically heterogeneous landraces with limited information on the drought tolerant attributes. This study elucidates the associations between sequencing-based diversity array technology (DArTseq) and phenotypic character as well as differing indices related to drought tolerance in one hundred accessions of Bambara groundnut.

In arid and semi-arid areas, a shortage of soil moisture limits rainfed crop growth and consequently reduces crop yield. By adding a small amount of water, supplemental irrigation can boost crop yields dramatically. The objective of this study was to identify suitable land for supplemental irrigation in a moisture deficit area in the semi-arid Ethiopian highlands using GIS-based multi-criteria evaluation. Land suitability and water availability factors were used for the analysis.