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The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective.

Kauê De SousaJacob van EttenRhys MannersErna AbidinRekiya O AbdulmalikBello AboloreKwabena AcheremuStephen AnguduboAmilcar AguilarElizabeth ArnaudAdventina BabuMirna BarriosGrecia BenaventeOusmane BoukarJill E CairnsEdward CareyHappy DaudiMaryam DawudGospel EdughaenJames EllisonWilliams EsumaSanusi Gaya MohammedJeske van de GevelMarvin GomezJoost van HeerwaardenPaula IragabaEdith KadegeTeshale M AssefaSylvia KalemeraFadhili Salum KasubiriRobert KawukiYosef Gebrehawaryat KidaneMichael KilangoHeneriko KulembekaAdofo KwadwoBrandon MadrizEster MasumbaJulius MbiuThiago MendesAnna MüllerMukani MoyoKiddo MtundaTawanda MuzhingiDean MuunganiEmmanuel T MwendaGanga Rao V P R NadigatlaAnn Ritah NanyonjoSognigbé N'DanikouAthanase NduwumuremyiJean Claude NshimiyimanaEphraim NuwamanyaHyacinthe NyirahabimanaMartina OccelliOlamide OlaosebikanPatrick Obia OngomBerta Ortiz-CrespoRichard Oteng-FripongAlfred OzimatiDurodola OwoadeCarlos F QuirosJuan Carlos RosasPlacide RukundoPieter RutsaertMilindi SibomanaNeeraj SharmaNestory ShidaJonathan SteinkeReuben SsaliJose Gabriel SuchiniBéla TeekenTheophilus Kwabla TengeyHale Ann TufanSilver TumwegamireElyse TuyishimeJacob UlzenMuhammad Lawan UmarSamuel OnwukaTessy Ugo MaduRachel C VossMary YeyeMainassara Zaman-Allah
Published in: Agronomy for sustainable development (2024)
Matching crop varieties to their target use context and user preferences is a challenge faced by many plant breeding programs serving smallholder agriculture. Numerous participatory approaches proposed by CGIAR and other research teams over the last four decades have attempted to capture farmers' priorities/preferences and crop variety field performance in representative growing environments through experimental trials with higher external validity. Yet none have overcome the challenges of scalability, data validity and reliability, and difficulties in capturing socio-economic and environmental heterogeneity. Building on the strengths of these attempts, we developed a new data-generation approach, called triadic comparison of technology options (tricot). Tricot is a decentralized experimental approach supported by crowdsourced citizen science. In this article, we review the development, validation, and evolution of the tricot approach, through our own research results and reviewing the literature in which tricot approaches have been successfully applied. The first results indicated that tricot-aggregated farmer-led assessments contained information with adequate validity and that reliability could be achieved with a large sample. Costs were lower than current participatory approaches. Scaling the tricot approach into a large on-farm testing network successfully registered specific climatic effects of crop variety performance in representative growing environments. Tricot's recent application in plant breeding networks in relation to decision-making has (i) advanced plant breeding lines recognizing socio-economic heterogeneity, and (ii) identified consumers' preferences and market demands, generating alternative breeding design priorities. We review lessons learned from tricot applications that have enabled a large scaling effort, which should lead to stronger decision-making in crop improvement and increased use of improved varieties in smallholder agriculture.
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