The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective
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.
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Article biblioteca |
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Springer Science + Business Media
2024
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Subjects: | AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, External Validity, Socio-Economic Heterogeneity, Target Product Profle, PARTICIPATORY PLANT BREEDING, CROPS, VARIETIES, BREEDING PROGRAMMES, SOCIOECONOMIC ASPECTS, Maize, |
Online Access: | https://hdl.handle.net/10883/22981 |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY External Validity Socio-Economic Heterogeneity Target Product Profle PARTICIPATORY PLANT BREEDING CROPS VARIETIES BREEDING PROGRAMMES SOCIOECONOMIC ASPECTS Maize AGRICULTURAL SCIENCES AND BIOTECHNOLOGY External Validity Socio-Economic Heterogeneity Target Product Profle PARTICIPATORY PLANT BREEDING CROPS VARIETIES BREEDING PROGRAMMES SOCIOECONOMIC ASPECTS Maize |
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AGRICULTURAL SCIENCES AND BIOTECHNOLOGY External Validity Socio-Economic Heterogeneity Target Product Profle PARTICIPATORY PLANT BREEDING CROPS VARIETIES BREEDING PROGRAMMES SOCIOECONOMIC ASPECTS Maize AGRICULTURAL SCIENCES AND BIOTECHNOLOGY External Validity Socio-Economic Heterogeneity Target Product Profle PARTICIPATORY PLANT BREEDING CROPS VARIETIES BREEDING PROGRAMMES SOCIOECONOMIC ASPECTS Maize de Sousa, K. Etten, J. van Manners, R. Erna Abidin Abdulmalik, R.O. Bello Abolore Kwabena Acheremu Angudubo, S. Aguilar, A. Arnaud, E. Adventina Babu Barrios, M. Benavente, G. Boukar, O. Cairns, J.E. Carey, E. Daudi, H. Maryam Abba Dawud Edughaen, G. Ellison, J. Esuma, W. Sanusi Gaya Mohammed van de Gevel, J. Gomez, M. Heerwaarden, J. Iragaba, P. Kadege, E. Assefa, T. Kalemera, S. Fadhili Salum Kasubiri Kawuki, R. Yosef Gebrehawaryat Kidane Kilango, M. Heneriko Kulembeka Adofo Kwadwo Madriz, B. Masumba, E. Mbiu, J. Mendes, T. Müller, A. Moyo, M. Kiddo Mtunda Muzhingi, T. Muungani, D. Mwenda. E.T. Veera Prabha Rama Ganga Rao Nadigatla Ann Ritah Nanyonjo Sognigbé, N. Athanase Nduwumuremyi Nshimiyimana, J.C. Ephraim Nuwamanya Hyacinthe Nyirahabimana Occelli, M. Olamide Olaosebikan Ongom, P.O. Ortiz-Crespo, B. Oteng-Fripong, R. Ozimati, A. Durodola Owoade Quiros, C.F. Rosas, J.C. Rukundo, P. Rutsaert, P. Milindi Sibomana Sharma, N. Nestory Shida Steinke, J. Ssali, Reuben Suchini, J.G. Teeken, B. Theophilus Kwabla Tengey Tufan, H.A. Silver Tumwegamire Tuyishime, E. Ulzen, J. Muhammad Lawan Umar Onwuka, S. Tessy Ugo Madu Voss, R.C. Yeye, M. Zaman-Allah, M. The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective |
description |
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. |
format |
Article |
topic_facet |
AGRICULTURAL SCIENCES AND BIOTECHNOLOGY External Validity Socio-Economic Heterogeneity Target Product Profle PARTICIPATORY PLANT BREEDING CROPS VARIETIES BREEDING PROGRAMMES SOCIOECONOMIC ASPECTS Maize |
author |
de Sousa, K. Etten, J. van Manners, R. Erna Abidin Abdulmalik, R.O. Bello Abolore Kwabena Acheremu Angudubo, S. Aguilar, A. Arnaud, E. Adventina Babu Barrios, M. Benavente, G. Boukar, O. Cairns, J.E. Carey, E. Daudi, H. Maryam Abba Dawud Edughaen, G. Ellison, J. Esuma, W. Sanusi Gaya Mohammed van de Gevel, J. Gomez, M. Heerwaarden, J. Iragaba, P. Kadege, E. Assefa, T. Kalemera, S. Fadhili Salum Kasubiri Kawuki, R. Yosef Gebrehawaryat Kidane Kilango, M. Heneriko Kulembeka Adofo Kwadwo Madriz, B. Masumba, E. Mbiu, J. Mendes, T. Müller, A. Moyo, M. Kiddo Mtunda Muzhingi, T. Muungani, D. Mwenda. E.T. Veera Prabha Rama Ganga Rao Nadigatla Ann Ritah Nanyonjo Sognigbé, N. Athanase Nduwumuremyi Nshimiyimana, J.C. Ephraim Nuwamanya Hyacinthe Nyirahabimana Occelli, M. Olamide Olaosebikan Ongom, P.O. Ortiz-Crespo, B. Oteng-Fripong, R. Ozimati, A. Durodola Owoade Quiros, C.F. Rosas, J.C. Rukundo, P. Rutsaert, P. Milindi Sibomana Sharma, N. Nestory Shida Steinke, J. Ssali, Reuben Suchini, J.G. Teeken, B. Theophilus Kwabla Tengey Tufan, H.A. Silver Tumwegamire Tuyishime, E. Ulzen, J. Muhammad Lawan Umar Onwuka, S. Tessy Ugo Madu Voss, R.C. Yeye, M. Zaman-Allah, M. |
author_facet |
de Sousa, K. Etten, J. van Manners, R. Erna Abidin Abdulmalik, R.O. Bello Abolore Kwabena Acheremu Angudubo, S. Aguilar, A. Arnaud, E. Adventina Babu Barrios, M. Benavente, G. Boukar, O. Cairns, J.E. Carey, E. Daudi, H. Maryam Abba Dawud Edughaen, G. Ellison, J. Esuma, W. Sanusi Gaya Mohammed van de Gevel, J. Gomez, M. Heerwaarden, J. Iragaba, P. Kadege, E. Assefa, T. Kalemera, S. Fadhili Salum Kasubiri Kawuki, R. Yosef Gebrehawaryat Kidane Kilango, M. Heneriko Kulembeka Adofo Kwadwo Madriz, B. Masumba, E. Mbiu, J. Mendes, T. Müller, A. Moyo, M. Kiddo Mtunda Muzhingi, T. Muungani, D. Mwenda. E.T. Veera Prabha Rama Ganga Rao Nadigatla Ann Ritah Nanyonjo Sognigbé, N. Athanase Nduwumuremyi Nshimiyimana, J.C. Ephraim Nuwamanya Hyacinthe Nyirahabimana Occelli, M. Olamide Olaosebikan Ongom, P.O. Ortiz-Crespo, B. Oteng-Fripong, R. Ozimati, A. Durodola Owoade Quiros, C.F. Rosas, J.C. Rukundo, P. Rutsaert, P. Milindi Sibomana Sharma, N. Nestory Shida Steinke, J. Ssali, Reuben Suchini, J.G. Teeken, B. Theophilus Kwabla Tengey Tufan, H.A. Silver Tumwegamire Tuyishime, E. Ulzen, J. Muhammad Lawan Umar Onwuka, S. Tessy Ugo Madu Voss, R.C. Yeye, M. Zaman-Allah, M. |
author_sort |
de Sousa, K. |
title |
The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective |
title_short |
The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective |
title_full |
The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective |
title_fullStr |
The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective |
title_full_unstemmed |
The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective |
title_sort |
tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. a retrospective |
publisher |
Springer Science + Business Media |
publishDate |
2024 |
url |
https://hdl.handle.net/10883/22981 |
work_keys_str_mv |
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dig-cimmyt-10883-229812024-01-26T15:32:47Z The tricot approach: an agile framework for decentralized on-farm testing supported by citizen science. A retrospective de Sousa, K. Etten, J. van Manners, R. Erna Abidin Abdulmalik, R.O. Bello Abolore Kwabena Acheremu Angudubo, S. Aguilar, A. Arnaud, E. Adventina Babu Barrios, M. Benavente, G. Boukar, O. Cairns, J.E. Carey, E. Daudi, H. Maryam Abba Dawud Edughaen, G. Ellison, J. Esuma, W. Sanusi Gaya Mohammed van de Gevel, J. Gomez, M. Heerwaarden, J. Iragaba, P. Kadege, E. Assefa, T. Kalemera, S. Fadhili Salum Kasubiri Kawuki, R. Yosef Gebrehawaryat Kidane Kilango, M. Heneriko Kulembeka Adofo Kwadwo Madriz, B. Masumba, E. Mbiu, J. Mendes, T. Müller, A. Moyo, M. Kiddo Mtunda Muzhingi, T. Muungani, D. Mwenda. E.T. Veera Prabha Rama Ganga Rao Nadigatla Ann Ritah Nanyonjo Sognigbé, N. Athanase Nduwumuremyi Nshimiyimana, J.C. Ephraim Nuwamanya Hyacinthe Nyirahabimana Occelli, M. Olamide Olaosebikan Ongom, P.O. Ortiz-Crespo, B. Oteng-Fripong, R. Ozimati, A. Durodola Owoade Quiros, C.F. Rosas, J.C. Rukundo, P. Rutsaert, P. Milindi Sibomana Sharma, N. Nestory Shida Steinke, J. Ssali, Reuben Suchini, J.G. Teeken, B. Theophilus Kwabla Tengey Tufan, H.A. Silver Tumwegamire Tuyishime, E. Ulzen, J. Muhammad Lawan Umar Onwuka, S. Tessy Ugo Madu Voss, R.C. Yeye, M. Zaman-Allah, M. AGRICULTURAL SCIENCES AND BIOTECHNOLOGY External Validity Socio-Economic Heterogeneity Target Product Profle PARTICIPATORY PLANT BREEDING CROPS VARIETIES BREEDING PROGRAMMES SOCIOECONOMIC ASPECTS Maize 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. 2024-01-26T01:05:27Z 2024-01-26T01:05:27Z 2024 Article Published Version https://hdl.handle.net/10883/22981 10.1007/s13593-023-00937-1 English Climate adaptation & mitigation Accelerated Breeding Genetic Innovation Bill & Melinda Gates Foundation (BMGF) https://hdl.handle.net/10568/138556 CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose Open Access United States of America Springer Science + Business Media 44 1774-0746 Agronomy for Sustainable Development 8 |