Global multi-crop agricultural trial data supported by citizen science
Authors/Creators
- de Sousa, Kauê (Data curator)1, 2
- Laporte, Marie-Angélique (Data curator)3
- Achigan-Dako, Enoch G.
- Adonia, Joseph
- Aglinglo, Lys Amavi
- Atieno, Elly Ouma
- Ayenan, Mathieu
- Boukar, Ousmane
- Bujiku, Antony
- Chase, Rachel3
- Coto, Allan
- Coulibaly, Harouna
- Cremaschi, Almendra3
- Das, Roma Rani
- Daudi, Happy
- Diarra, Danfing dit Youssouf
- Dolo, Aminata
- Dorado-Betancourt, Hugo
- Ellison, James
- Gandhi, Harish
- Houdegbe, Aristide Carlos
- Jørgensen, Marit
- Katamba, Emmanuel
- Kileo, Aishi
- Laswai, Emmanuel V.
- Legba, Eric C.
- Madriz, Brandon
- Malulu, Dickson
- Manrow-Villalobos, Marilyn
- Matumbo, Zamira
- Mlaki, Anna
- Mousavi, Hesam
- Mulatu, Kalkidan Ayele
- N'Danikou, Sognigbé
- Nabateregga, Mabel
- Nadigatla, Ganga Rao V. P. R.
- Neby, Magne
- Notenbaert, An
- Nyawade, Shadrack Otieno
- Ojiewo, Christopher Ochieng
- Ongom, Patrick Obia
- Ouedraogo, Colette Ouidyam
- Rathore, Abhishek
- Salaou, Abdou Mouizz B.
- Shango, Abdul
- Sharma, Kalpana
- Sibomana, Milindi
- Sidibe, Amadou
- Sohindji, Silvère Fernand
- Solberg, Svein Øivind
- Steinke, Jonathan
- Tchokponhoue, Dèdéou Apocalypse
- Tuyishime, Elysé
- van Etten, Jacob
- van Heerwaarden, Joost
- van Zonneveld, Maarten
-
1.
Bioversity International
-
2.
Inland Norway University of Applied Sciences
-
3.
Alliance Bioversity International - CIAT
Description
Global multi-crop agricultural trial data supported by citizen science
The triadic comparison of technologies (tricot) is a citizen science approach for testing technology options in their target environments, which has been applied to on-farm testing of crop varieties. ‘Triadic’ refers to the sets of three technology options that are compared by each participant. In the approach, participants are invited to test an anonymous set of three technologies (out of a larger number, generally between 5 to 20) randomly assigned. Between 2011 and 2025 the tricot approach was applied in more than 25 countries across Africa, Asia, Europe and Latin America with more than 30 crops.
tricot data v1
This release consolidates standardized trial outputs from participatory on-farm evaluations implemented through the tricot (triadic comparison of technology options) approach. This dataset supports re-use for variety evaluation, genotype-by-environment research, target population of environments (TPE) analyses, farmer preference modeling, and broader work on data-driven crop improvement and climate adaptation.
Number of new studies: 41
Countries covered: 5 (BJ, ML, TZ, NG, RW)
Crops covered: 10
Total participant observations added: ~12,355 participants
Files
AgrDataSci/tricot-data-v1.zip
Files
(14.9 MB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/AgrDataSci/tricot-data/tree/v1 (URL)
Software
- Repository URL
- https://github.com/AgrDataSci/tricot-data