RTBfoods project: Breeding RTB products for end user preferences

The RTBfoods project is implemented with five partner countries: Benin, Cameroon, Ivory Coast, Nigeria and Uganda. It analyzes three common uses of each target root, tuber and banana crops (cassava, yam, sweet potato, plantain and tropical potato). The analysis uses a reverse engineering approach, working backwards from consumers to breeders.

Projet RTBfoods : Améliorer la sélection de variétés de racines, tubercules et bananes à cuire (RTB) pour en faciliter l'adoption par les utilisateurs

Le projet RTBfoods prend place dans cinq pays partenaires : le Bénin, le Cameroun, la Côte d’Ivoire, le Nigeria et l’Ouganda. Il vise à analyser des préparations culinaires différentes (bouilli, pilé, frit,...) et les préférences variétales associées, ainsi que l’aptitude à la transformation (facilité de stockage, d’épluchage, de fermentation, défibrage ou granulation des productions de racines, tubercules et bananes (RTB) (manioc, igname, patate douce, banane à cuire, pomme de terre). L’approche employée tient de l’ingénierie réverse : il s’agit de partir du consommateur pour remonter à l’améliorateur.
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1 to 10 of 557 Results
Participatory process diagnosis on pounded plantain-cassava product profile in Ivory CoastEmbargoed
16 juil. 2025
Bouniol, Alexandre; Nnan-Diby, Sylvie; Yapi, Eric; Kouassi, Antonin; Siaka, Traoré; Koffi, Cyrille; NGoran, Patricia; Dufour, Dominique; Deffan, Prudence, 2027, "Participatory process diagnosis on pounded plantain-cassava product profile in Ivory Coast", https://doi.org/10.18167/DVN1/GDGSSH, CIRAD Dataverse, V1
The quality of local consumer products in West Africa depends on numerous parameters that enable them to meet consumer expectations. To increase the chances of adoption of new genotypes developed by breeders, it is necessary to increasingly deepen the identification of adoption c...
RTB Breeding Participatory_Process_diagnosis_Dataset_Method_ATTIEKE_CIRAD_IVORY_COAST_23052025.xlsxEmbargoed
16 juil. 2025 - Participatory process diagnosis on pounded plantain-cassava product profile in Ivory Coast
MS Excel Spreadsheet - 313,9 KB - MD5: 903cb96fbe2ece182eeed97b073da9e3
Instrumental textural data by penetrometry, QDA and consumer testing data for boiled potato, at CIP, Uganda.Embargoed
23 juin 2025
Nakitto, Mariam; Mendes, Thiago; Serunkuma, Edwin; Mwanyika, Martin, 2027, "Instrumental textural data by penetrometry, QDA and consumer testing data for boiled potato, at CIP, Uganda.", https://doi.org/10.18167/DVN1/OFQ9KU, CIRAD Dataverse, V1, UNF:6:sOkF6U4FH5gJsVwyFigdJw== [fileUNF]
This dataset contains instrumental textural data by penetrometry, Quantitative descriptive analysis data generated using sensory trained panels and consumer testing data for boiled potato. The activities, which led to the production of this dataset, were conducted at CIP, Uganda...
RTB Breeding Quality_Lab & Sensory Dataset_QDA_Penetration_Consumer_Boiled Potato_CIP_Uganda_10012025.tabEmbargoed
23 juin 2025 - Instrumental textural data by penetrometry, QDA and consumer testing data for boiled potato, at CIP, Uganda.
Tabular Data - 1,7 KB - 5 Variables, 16 Observations - UNF:6:sOkF6U4FH5gJsVwyFigdJw==
Boiled sweet potato NIRS spectral database with lab reference data on maltose for 100 genotypes harvested in 2023 and 2024 at CIP, UgandaEmbargoed
23 juin 2025
Ssali, Nantongo Judith; Serunkuma, Edwin, 2027, "Boiled sweet potato NIRS spectral database with lab reference data on maltose for 100 genotypes harvested in 2023 and 2024 at CIP, Uganda", https://doi.org/10.18167/DVN1/XARVPV, CIRAD Dataverse, V1
This dataset contains NIRS spectral data with lab reference data on maltose collected on 100 boiled sweet potato genotypes harvested in 2023 and 2024 seasons at the International Potato Center in Uganda. This work was supported by the RTBfoods project, through a grant OPP1178942:...
RTB Breeding Quality_HTP Dataset_Sugars and spectra.xlsxEmbargoed
23 juin 2025 - Boiled sweet potato NIRS spectral database with lab reference data on maltose for 100 genotypes harvested in 2023 and 2024 at CIP, Uganda
MS Excel Spreadsheet - 2,9 MB - MD5: d5540f9d79af22af27d8699989872c40
Dataset of texture analysis of Boiled yam using extrusion method at IITA Ibadan NigeriaEmbargoed
23 juin 2025
Adesokan, Michael; Alamu, Emmanuel; Fawole, Segun; Ayetigbo, Oluwatoyin; Maziya-Dixon, Busie, 2027, "Dataset of texture analysis of Boiled yam using extrusion method at IITA Ibadan Nigeria", https://doi.org/10.18167/DVN1/TSKJJA, CIRAD Dataverse, V1
This dataset contains instrumental textural data obtained on boiled yam using extrusion method. The activities, which led to the production of this dataset, were carried out at IITA, Ibadan, Nigeria and were assessed and approved by the CIRAD Ethics Committee (H2020 ethics self-a...
RTB Breeding Quality_ExtrusionDataset_Boiled yam_IITA_Nigeria_25022025.xlsxEmbargoed
23 juin 2025 - Dataset of texture analysis of Boiled yam using extrusion method at IITA Ibadan Nigeria
MS Excel Spreadsheet - 120,4 KB - MD5: d9c18032e845b783283352e9dcdc6237
Dataset for participatory process diagnosis on pounded yam product profile in Ivory CoastEmbargoed
23 juin 2025
Bouniol, Alexandre; Nnan-Diby, Sylvie; Kouassi, Antonin; Yapi, Eric; Dibi, Konan; Ehounou, Emmanuel; NGoran, Patricia; Dufour, Dominique; Deffan, Prudence, 2027, "Dataset for participatory process diagnosis on pounded yam product profile in Ivory Coast", https://doi.org/10.18167/DVN1/R6LXYL, CIRAD Dataverse, V1
The quality of local consumer products in West Africa depends on numerous parameters that enable them to meet consumer expectations. To increase the chances of adoption of new genotypes developed by breeders, it is necessary to increasingly deepen the identification of adoption c...
RTB Breeding Participatory_Process_diagnosis_Dataset_Method_Pounded_Yam_CIRAD_IVORY_COAST_28032025.xlsxEmbargoed
23 juin 2025 - Dataset for participatory process diagnosis on pounded yam product profile in Ivory Coast
MS Excel Spreadsheet - 308,3 KB - MD5: 2a8cd1d90d7db21eeb099e2a06cac7bc
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