ORIGIN
Historical roots of Farming Systems Research
Farming Systems Research (FSR) was initiated in the 1970s by researchers working in developing countries (mostly in publicly funded research organisations such as the CGIAR centres such as CIMMYT, ICTA, IITA, ICARDA or IRRI). They wanted to address the fact that smallholder-farmers were not adopting the technical recommendations derived from disciplinary, commodity-oriented research. Recommendations derived from this type of research were targeted at commercial farms and were, in general, unfit for the priorities and conditions of smallholders (for sources and publications, see the comprehensive document repository at the University of Florida). Thus, originally Farming Systems Research focused on smallholders and resource-poor farmers in developing countries. The aim of the field practitioners was to improve the understanding of small farmers and the way they make decisions. This insight could then be used:
- to identify how research recommendations could be reshaped to better fit local farming systems,
- to better steer the research agenda of agricultural research stations, and
- to influence policy formulation.
- Expanded scope of systems: from crop-focused studies to diverse enterprises (livestock, aquaculture, agroforestry, and non-agricultural activities), assessing system-wide impacts rather than single technologies.
- Multi-scale perspective: farming is now analysed within nested systems (farm, landscape, region, global), capturing complex interactions across ecological, economic, and institutional levels.
- Stakeholder diversity: recognition of multiple actors with differing perspectives, including gender dimensions, requiring participatory approaches to reconcile interests.
- Territorial approach: inclusion of non-farming activities and rural livelihoods, moving beyond a purely sectoral view toward broader rural systems.
- Redefined performance: from productivity alone to stability and sustainability, considering long-term system dynamics and integrated assessments.
- Dynamic learning processes: dropped of “best solutions” in favour of adaptive, iterative learning (“learning by doing”) in evolving socio-ecological contexts.
