ScholarGate
Assistent

Compara mètodes

Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.

Mother-Baby Trial Design×Agroecosystem Analysis×
CampFood Agriculture StudiesFood Agriculture Studies
FamíliaProcess / pipelineProcess / pipeline
Any d'origen20021987
Autor originalSieglinde SnappGordon R. Conway
TipusLinked on-farm experimental design pairing replicated and dispersed trialsSystems-diagnosis pipeline for agroecosystem performance
Font seminalSnapp, 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 ↗Conway, G. R. (1987). The properties of agroecosystems. Agricultural Systems, 24(2), 95-117. DOI ↗
ÀliesMother and Baby Trial Design, MBT Design, Mother-Baby Trial Approach, Mother-Baby On-Farm TrialsAEA, Agroecosystem Properties Analysis, Conway Agroecosystem Analysis, Agroecosystem Diagnosis
Relacionats44
ResumThe 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.Agroecosystem analysis (AEA) is a systems-diagnosis framework, formalized by Gordon Conway in 1987, that characterizes any agricultural system through four properties: productivity, stability, sustainability, and equitability. Rather than judging a farming system by yield alone, AEA treats the agroecosystem as an ecological system shaped by human management and asks how much it produces, how reliably it produces it across seasons and shocks, whether it can maintain output over the long run, and how its benefits are distributed among the people who depend on it. The analyst bounds a system at an appropriate hierarchical level — plot, field, farm, watershed, or region — and uses interdisciplinary teams, ranked questions, and simple structured diagrams to surface the key relationships and the trade-offs among the four properties that drive design and policy choices.
ScholarGateConjunt de dades
  1. v1
  2. 2 Fonts
  3. PUBLISHED
  1. v1
  2. 2 Fonts
  3. PUBLISHED

Ves a la cerca Baixa les diapositives

ScholarGateCompara mètodes: Mother-Baby Trial Design · Agroecosystem Analysis. Recuperat el 2026-06-25 de https://scholargate.app/ca/compare