The global food system is responsible for 23 – 42% of total net anthropogenic emissions. The food systems of all countries need to be transformed to lower their emissions while producing sufficient, nutritious and healthy food. The Low-Emissions Food Systems (Mitigate+) Initiative aims to offer a comprehensive, evidence-based and holistic approach to reducing agrifood systems emissions. It explores possible pathways that reduce greenhouse gas emissions while enhancing food security and nutrition and livelihoods and preserving the environment.

Declining land productivity is a major problem constraining banana (Musa spp.) production in Tanzania. Banana fruit yield consequently reaches only 15% of the potential, primarily due to inadequate soil nutrient replenishment. Improving farmers’ soil nutrient replenishment strategy in banana home gardens, which relies on applications of cattle manure only, by mixing with inorganic fertilizer resources can increase land productivity and can improve the overall profitability of banana production in the country.

The TAFSSA CGIAR Initiative is hosting a series of webinars to highlight research from South Asia on food security, sustainable healthy diets, farmer livelihoods and resilience, and land, air, and groundwater conservation. For the sixth webinar on September 27, Dr. Kaushik Majumdar, Director General, African Plant Nutrition Institute (APNI), will present. Dr. Majumdar, a native of India, obtained his M.Sc. degree in Agricultural Chemistry and Soil Science from BCKV University, India. He received his Ph.D. in Soil Mineralogy/Soil Chemistry from Rutgers University, USA. Dr.

This report presents the business plan designs and cost-benefit analyses for selected companies cooperating with the ‘transformational agroecology across food, land, and water systems’ programme, also known as the Agroecological Initiative (AE-I).In Mbire district, the sorghum value chain was prioritised because of the enthusiasm of the contracting company and positive results from the cost benefit analyses showing profitability for both the company and contracted farmers.

Traditional simulation models are often point based; thus, more research is needed to emphasize spatial simulation, providing decision-makers with fast recommendations. Combining machine learning algorithms with spatial process-based models could be considered an appropriate solution. We created a spatial model in R (APSIMx_R) to generate fine-resolution data from coarse-resolution data, which is typically available at the regional level.

Strengthening the production and processing of key food commodities forms the basis of agricultural development in Africa. These value chains follow a quasi-linear progression across seven main segments: farm planning > land preparation and crop establishment > field production > harvest > post-harvest handling > marketing > and value addition. Each of these consists of sub-segments whose improvement depends upon promotion and adoption of specific modernizing technologies.

In less than one year the Niger Basin Authority, an intergovernmental body tasked with the sustainable development of the Niger waters and associated resources, passed the first ever nexus policy in a transboundary river basin, contributing to a true acceleration of change for improved water and associated development in the Niger River Basin. The guidelines were developed in close collaboration with the nine basin countries and complemented by a large capacity building program.

While most of the literature on park management and nature conservation has focused on the negative implications
for local people’s livelihoods, fewer studies have empirically analysed local people’s strategies in responding to these
policies and renegotiating their position to continue their traditional livelihoods using their traditional knowledge
and legal systems. This study contributes to the current literature on nature conservation by focusing on the impacts

Sequencing technologies have rapidly evolved over the past two decades, and new technologies are being continually developed and commercialized. The emerging sequencing technologies target generating more data with fewer inputs and at lower costs. This has also translated to an increase in the number and type of corresponding applications in genomics besides enhanced computational capacities (both hardware and software).

We investigated alternative cropping and feeding options for large (>10 cows), medium (5–10 cows) and small (≤4 cows) mixed crop – livestock farm types, to enhance economic and environmental performance in Jhenaidha and Meherpur districts – locations with increasing dairy production – in south western Bangladesh. Following focus group discussions with farmers on constraints and opportunities, we collected baseline data from one representative farm from each farm size class per district (six in total) to parameterize the whole-farm model FarmDESIGN.