Global agricultural production is dynamic and complex as various factors impact it. Understanding global agricultural production systems and farmers’ decisions requires an internationally standardized and scientifically sound approach. The agribenchmark Network is a global, non-profit network of producers and agricultural experts which aims to analyze and understand the key drivers of current and future trends and developments in global agriculture. The Network combines its in-depth knowledge of production systems with its expertise in analyzing international commodity markets and value chains to provide scientifically sound advice to policymakers, producers and agribusinesses. This paper details the agribenchmark Standard Operating Procedure (SOP), which is the step-by-step method of establishing typical farm information and quantifying their data. The paper also illustrates how the typical farm approach is applied by the agribenchmark Network to analyze and understand global agriculture, production systems and adaptation strategies. The paper provides examples of how the Network applies the approach in analyzing the status-quo of production systems, benchmarking, practice change analysis and policy analysis. The paper concludes that although the typical farm approach and the institutional settings (agri benchmark) present some limitations, the approach and the Network provide comprehensive, consistent and coherent data on farm economics.

Against the backdrop of changing production conditions and market requirements, it seems time has come to rethink Brazil’s beef production systems. We analyse the economic and environmental performance of three beef production systems: classic beef production system (CB), and two types of silvopastoral systems: the integrated crop-livestock-forestry system (ICLFS) and the natural regeneration system (NR) in a comparative case study analysis. We find that, though costs of production are the lowest for CB, only the ICLFS and NR case studies are generating long-term profits. While greenhouse gas emissions per kg live weight added are lowest in ICLFS, followed by NR and CB, per hectare (ha) emissions are highest in NR, followed by ICLFS and CB. Considering the system’s carbon removal, NR and potentially ICLFS are sequestering more than releasing. Additionally, the land required to produce beef is lowest in NR, followed by ICLFS and CB. Considering the additional outputs produced by ICLFS and NR, they showcase the potential of multifunctional production systems for future scenarios, where land scarcity puts land-demanding production systems, such as beef, under pressure. The three production systems perform differently depending on the indicators analysed. How they will reply to future challenges depends on the location and the specific environment. Yet, from the analysed systems, CB is the least sustainable, economically and environmentally.