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Farming Systems Research and Extension×Mother-Baby Trial Design×
المجالFood Agriculture StudiesFood Agriculture Studies
العائلةProcess / pipelineProcess / pipeline
سنة النشأة20002002
صاحب الطريقةMichael Collinson and the international farming-systems research community (CIMMYT/CGIAR)Sieglinde Snapp
النوعIterative diagnostic and adaptive on-farm research pipelineLinked on-farm experimental design pairing replicated and dispersed trials
المصدر التأسيسيCollinson, M. P. (Ed.) (2000). A History of Farming Systems Research. Wallingford, UK: CABI Publishing & FAO. ISBN: 9780851994055Snapp, S. (2002). Quantifying Farmer Evaluation of Technologies: The Mother and Baby Trial Design. In M. R. Bellon & J. Reeves (Eds.), Quantitative Analysis of Data from Participatory Methods in Plant Breeding (pp. 9-17). Mexico, DF: CIMMYT. link ↗
الأسماء البديلةFSR/E, Farming Systems Research, On-Farm Client-Oriented Research, Whole-Farm Systems ResearchMother and Baby Trial Design, MBT Design, Mother-Baby Trial Approach, Mother-Baby On-Farm Trials
ذات صلة44
الملخصFarming Systems Research and Extension (FSR/E) is an iterative, client-oriented research methodology that treats the smallholder farm as a whole interacting system rather than a collection of isolated crops, and designs technology around the actual circumstances and goals of homogeneous groups of farmers. Developed within CIMMYT and the wider CGIAR system from the 1970s and synthesized in Michael Collinson's 2000 history, FSR/E proceeds by diagnosing the whole farm, grouping farmers into recommendation domains who share circumstances, ranking their binding constraints, and then testing candidate technologies in farmer-managed on-farm trials whose results feed back into the next diagnostic cycle. Its defining commitment is that research priorities and experimental designs should follow from farmers' resources, constraints, and objectives, so that recommendations are not just statistically valid on a research station but adoptable on real fields.The mother-baby trial design is an on-farm experimental architecture, formalized by Sieglinde Snapp in 2002, that resolves the long-standing tension between statistical rigor and wide farmer participation in agricultural research. A small number of replicated 'mother' trials carry the complete set of treatments under good management and provide the controlled, analyzable comparison; surrounding them, a large number of simple 'baby' trials, each on a farmer's own field and each testing only a subset of the treatments against the farmer's usual practice, sample the real variation in conditions and capture farmer evaluation at scale. Linking the two — the mother for precision, the babies for breadth and realism — yields both defensible treatment estimates and credible evidence about how technologies perform and are judged across many real farms.
ScholarGateمجموعة البيانات
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ScholarGateقارن الطرق: Farming Systems Research and Extension · Mother-Baby Trial Design. استُرجع بتاريخ 2026-06-25 من https://scholargate.app/ar/compare