The tricot approach: an agile framework for decentralized on‐farm testing supported by citizen science. A retrospective
| dc.contributor.author | de Sousa Kauê | |
| dc.contributor.author | Jacob van Etten | |
| dc.contributor.author | Rhys Manners | |
| dc.contributor.author | Erna Abidin | |
| dc.contributor.author | Rekiya O. Abdulmalik | |
| dc.contributor.author | Bello Abolore | |
| dc.contributor.author | Kwabena Acheremu | |
| dc.contributor.author | Angudubo Stephen | |
| dc.contributor.author | Amilcar Aguilar | |
| dc.contributor.author | Arnaud Elizabeth | |
| dc.contributor.author | Babu Adventina | |
| dc.contributor.author | Mirna Barrios | |
| dc.contributor.author | Grecia Benavente | |
| dc.contributor.author | Boukar Ousmane | |
| dc.contributor.author | Jill E. Cairns | |
| dc.contributor.author | Edward Carey | |
| dc.contributor.author | Happy Daudi | |
| dc.contributor.author | Dawud Maryam | |
| dc.contributor.author | Edughaen Gospel | |
| dc.contributor.author | Ellison James | |
| dc.contributor.author | Esuma Williams | |
| dc.contributor.author | Sanusi Gaya Mohammed | |
| dc.contributor.author | Jeske van de Gevel | |
| dc.contributor.author | Gomez Marvin | |
| dc.contributor.author | Joost van Heerwaarden | |
| dc.contributor.author | Iragaba Paula | |
| dc.contributor.author | Kadege Edith | |
| dc.contributor.author | Teshale M. Assefa | |
| dc.contributor.author | Kalemera Sylvia | |
| dc.contributor.author | Kasubiri Fadhili Salum | |
| dc.contributor.author | Kawuki Robert | |
| dc.contributor.author | Yosef Gebrehawaryat Kidane | |
| dc.contributor.author | Kilango Michael | |
| dc.contributor.author | Kulembeka Heneriko | |
| dc.contributor.author | Adofo Kwadwo | |
| dc.contributor.author | Madriz Brandon | |
| dc.contributor.author | Masumba Ester | |
| dc.contributor.author | Mbiu Julius | |
| dc.contributor.author | Mendes Thiago | |
| dc.contributor.author | Müller Anna | |
| dc.contributor.author | Mukani Moyo | |
| dc.contributor.author | Kiddo Mtunda | |
| dc.contributor.author | Tawanda Muzhingi | |
| dc.contributor.author | Muungani Dean | |
| dc.contributor.author | Mwenda Emmanuel T. | |
| dc.contributor.author | Ganga Rao V. P. R. Nadigatla | |
| dc.contributor.author | Nanyonjo Ann Ritah | |
| dc.contributor.author | Sognigbé N’Danikou | |
| dc.contributor.author | Athanase Nduwumuremyi | |
| dc.contributor.author | Nshimiyimana Jean Claude | |
| dc.contributor.author | Nuwamanya Ephraim | |
| dc.contributor.author | Nyirahabimana Hyacinthe | |
| dc.contributor.author | Occelli Martina | |
| dc.contributor.author | Olamide Olaosebikan | |
| dc.contributor.author | Obia Ongom Patrick | |
| dc.contributor.author | Ortiz‐Crespo Berta | |
| dc.contributor.author | Oteng‐Fripong Richard | |
| dc.contributor.author | Ozimati Alfred | |
| dc.contributor.author | Durodola Owoade | |
| dc.contributor.author | Carlos F. Quiros | |
| dc.contributor.author | Juan Carlos Rosas | |
| dc.contributor.author | Rukundo Placide | |
| dc.contributor.author | Pieter Rutsaert | |
| dc.contributor.author | Sibomana Milindi | |
| dc.contributor.author | Sharma Neeraj | |
| dc.contributor.author | Shida Nestory | |
| dc.contributor.author | Steinke Jonathan | |
| dc.contributor.author | Ssali Reuben | |
| dc.contributor.author | Suchini Jose Gabriel | |
| dc.contributor.author | Béla Teeken | |
| dc.contributor.author | Theophilus Kwabla Tengey | |
| dc.contributor.author | Tufan Hale Ann | |
| dc.contributor.author | Tumwegamire Silver | |
| dc.contributor.author | Tuyishime Elyse | |
| dc.contributor.author | Ulzen Jacob | |
| dc.contributor.author | Muhammad Lawan Umar | |
| dc.contributor.author | Onwuka Samuel | |
| dc.contributor.author | Ugo Madu Tessy | |
| dc.contributor.author | Rachel C. Voss | |
| dc.contributor.author | Mary Yeye | |
| dc.contributor.author | Mainassara Zaman‐Allah | |
| dc.date.accessioned | 2026-05-04T07:14:35Z | |
| dc.date.issued | 2024-01-25 | |
| dc.description.abstract | 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. | |
| dc.description.sponsorship | Open access funding provided by Inland Norway University Of Applied Sciences This work was implemented by the CGIAR Research Programs on Climate Change, Agriculture and Food Security (CCAFS), and the CGIAR Research Program on Roots, Tubers and Bananas (RTB), which were carried out with support from the CGIAR Trust Fund and through bilateral funding agreements (details are athttps://www.cgiar.org/funders). More financial support was obtained during projects supported by the Bill & Melinda Gates Foundation: Accelerated Varietal Improvement and Seed Systems in Africa (AVISA, INV-009649), Seed Production Technology for Africa Phase II (SPTA II, INV-018951), NextGen Cassava (INV-007637), RTBfoods (INV-008567), and 1000FARMS (INV-031561). Part of this research was supported by the US Agency for International Development (Cooperative Agreement AID-OAA-F-14-00035). The research received financial support from McKnight Foundation Grant CCRP 16-832-098, German Federal Ministry for Economic Cooperation and Development Contract 81194988, and the Indian Council of Agricultural Research Annual Workplan. | |
| dc.identifier.citation | de Sousa, K., van Etten, J., Manners, R. et al. The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective. Agron. Sustain. Dev. 44, 8 (2024). https://doi.org/10.1007/s13593-023-00937-1 | |
| dc.identifier.other | 10.1007/s13593-023-00937-1 | |
| dc.identifier.uri | https://researchspace.naro.go.ug/handle/123456789/503 | |
| dc.language.iso | en | |
| dc.publisher | Agronomy for Sustainable Development | |
| dc.subject | External validity | |
| dc.subject | Participatory plant breeding | |
| dc.subject | Socio-economic heterogeneity | |
| dc.subject | Target product profile | |
| dc.title | The tricot approach: an agile framework for decentralized on‐farm testing supported by citizen science. A retrospective | |
| dc.type | Article |