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

Vista sencilla de ítem
dc.creatorSousa, Kauê de
dc.creatorEtten, Jacob van
dc.creatorManners, Rhys
dc.creatorErna Abidin
dc.creatorAbdulmalik, Rekiya O.
dc.creatorAbolore, Bello
dc.creatorAcheremu, Kwabena
dc.creatorAngudubo, Stephen
dc.creatorAguilar, Amilcar
dc.creatorArnaud, Elizabeth
dc.creatorBadu, Adventina
dc.creatorBarrios, Mirna
dc.creatorBenavente, Grecia
dc.creatorBoukar, Ousmane
dc.creatorCairns, Jill E.
dc.creatorCarey, Edward
dc.creatorDaudi, Happy
dc.creatorDawud, Maryam Abba
dc.creatorEdughaen, Gospel
dc.creatorEllison, James
dc.creatorEsuma, Wiliams
dc.creatorMohammed, Sanusi Gaya
dc.creatorvan de Gevel, Jeske
dc.creatorGomez, Marvin
dc.creatorHeerwaarden, Joost van
dc.creatorIragaba, Paula
dc.creatorKadege, Edith
dc.creatorAssefa, Teshale
dc.creatorKalemera, Sylvia
dc.creatorFadhili Salum Kasubiri
dc.creatorKawuki, Robert
dc.creatorYosef Gebrehawaryat Kidane
dc.creatorKilango, Michael
dc.creatorHeneriko Kulembeka
dc.creatorAdofo Kwadwo
dc.creatorMadriz, Brandon
dc.creatorMasumba, Ester
dc.creatorMbiu, Julius
dc.creatorMendes, Thiago
dc.creatorMüller, Anna
dc.creatorMoyo, Mukani
dc.creatorKiddo Mtunda
dc.creatorMuzhingi, Tawanda
dc.creatorMuungani, Dean
dc.creatorMwenda. Emmanuel T.
dc.creatorVeera Prabha Rama Ganga Rao Nadigatla
dc.creatorAnn Ritah Nanyonjo
dc.creatorSognigbé, N’Danikou
dc.creatorAthanase Nduwumuremyi
dc.creatorNshimiyimana, Jean Claude
dc.creatorEphraim Nuwamanya
dc.creatorHyacinthe Nyirahabimana
dc.creatorOccelli, Martina
dc.creatorOlamide Olaosebikan
dc.creatorOngom, Patrick Obia
dc.creatorOrtíz Crespo, Berta
dc.creatorOteng-Fripong, Richard
dc.creatorOzimati, Alfred
dc.creatorDurodola Owoade
dc.creatorQuiros, Carlos F.
dc.creatorRosas, Juan Carlos
dc.creatorRukundo, Placide
dc.creatorRutsaert, Pieter
dc.creatorMilindi Sibomana
dc.creatorSharma, Neeraj
dc.creatorNestory Shida
dc.creatorSteinke, Jonathan
dc.creatorSsali, R.T.
dc.creatorSuchini, Jose Gabriel
dc.creatorTeeken, Béla
dc.creatorTheophilus Kwabla Tengey
dc.creatorTufan, Hale Ann
dc.creatorSilver Tumwegamire
dc.creatorTuyishime, Elyse
dc.creatorUlzen, Jacob
dc.creatorMuhammad Lawan Umar
dc.creatorOnwuka, Samuel
dc.creatorTessy Ugo Madu
dc.creatorVoss, Rachel C.
dc.creatorYeye, Mary
dc.creatorZaman-Allah, Mainassara
dc.date2024-02
dc.date2024-01-26T05:41:54Z
dc.date2024-01-26T05:41:54Z
dc.date.accessioned2026-06-27T15:52:44Z
dc.descriptionMatching 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.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/138556
dc.identifier.urihttp://hdl.handle.net/123456789/116179
dc.languageen
dc.publisherSpringer
dc.rightsOpen Access
dc.sourcede Sousa, K., van Etten, J., Manners, R., Abidin, E., Abdulmalik, R. O., Abolore, B., Acheremu, K., Angudubo, S., Aguilar, A., Arnaud, E., Babu, A., Barrios, M., Benavente, G., Boukar, O., Cairns, J. E., Carey, E., Daudi, H., Dawud, M., Edughaen, G., … Zaman-Allah, M. (2024). The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective. In Agronomy for Sustainable Development (Vol. 44, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1007/s13593-023-00937-1
dc.subjectparticipatory plant breeding
dc.subjectcrops
dc.subjectvarieties
dc.subjectbreeding programmes
dc.subjectsocioeconomic aspects
dc.titleThe tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective
dc.typeJournal Article

Archivos

Colecciones

Instituto Internacional de Agricultura Tropical (IITA)