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Learning by doing: a participatory methodology for systematization of experiments with agroforestry systems, with an example of its application
Authors:Helton Nonato de Souza  Irene Maria Cardoso  Eduardo de Sá Mendon?a  An?r Fiorini Carvalho  Gustavo Bediaga de Oliveira  Davi Feital Gjorup  Ver?nica Rocha Bonfim
Affiliation:1. Department of Soil Quality, Wageningen University, Wageningen, The Netherlands
2. Soil Science Department, Federal University of Vi?osa, Vi?osa, Brazil
3. Plant Production Department, Federal University of Esp??rito Santo, Alegre, ES, 29500-000, Brazil
4. Centre of Alternative Technologies of Zona da Mata (CTA-ZM), Sitio Alfa Violeira, Zona Rural, Caixa Postal 128, Cep, Vi?osa, MG, 36570 000, Brazil
Abstract:Participatory research methods have helped scientists to understand how farmers experiment and to seek partnerships with farmers in developing technologies with enhanced relevance and adoption. This paper reports on the development of a participatory methodology to systematize long-term experimentation with agroforestry systems carried out in a hotspot of biodiversity by non-governmental organizations and local farmers. A methodological guide for systematization and techniques used for Participatory Rural Appraisal formed the basis of our work. We propose an analytical framework that recognizes systems of reflexive and learning interactions, in order to make the learned lessons explicit. At the process level, the main lessons and recommendations are as follows. It is important to establish partnerships to conduct innovative and complex experimentation with agroforest. Participatory systematization allows us to improve the methodological aspects of design, implementation and management of on-farm participatory experimentation. It also serves to synthesize the main findings and to extract lessons from agroforestry systems experiments. It fosters the technical improvement of agroforestry systems. It creates possibilities for reflection on agroforestry systems by farmers, extensionists and researchers, as well as their learning with respect to management of such systems. The findings are placed in the context of current theory on participatory experimentation in agriculture. Extractive and interactive approaches help to produce rich insights of mutual interest through collaboration by identifying local, regional and global convergences, complementarities, and conflicts of interest; which affect the advance of new eco-friendly technologies, to both improve the livelihoods and to reverse biodiversity loss and environmental degradation.
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