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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11 to 20 of 220 Results
Dataset for thresholds determination for Matooke key quality traits for acceptability using Consumer Testing (JAR), Instrumental, and QDA, measurements at NARL: Kampala, Uganda.Embargoed
26 mai 2025
Asasira, Moreen; Asiimwe, Amos; Nowakunda, Kephas; Khakasa Elizabeth; Namuddu, Mary; Kisakye, Sarah; Tukashaba, Living; Mukasa, Yusuf; Kamoga, Julius, 2027, "Dataset for thresholds determination for Matooke key quality traits for acceptability using Consumer Testing (JAR), Instrumental, and QDA, measurements at NARL: Kampala, Uganda.", https://doi.org/10.18167/DVN1/C54ZNC, CIRAD Dataverse, V1, UNF:6:Mun5UxlHW2aaMOzmDiNIBA== [fileUNF]
Data was collected from ten contrasting cooking banana (Matooke) varieties, both landraces and hybrids representing good, medium, and poor varieties based on their characteristics. The varieties were harvested at full maturity based on the fullness of the fingers. A conventional...
QDA data, Instrumental textural data by TPA, Instrumental Color data for extraction of RTB genotypes with superior matooke quality traits from RTB breeding populations, at NARL, Uganda.Embargoed
26 mai 2025
Nowakunda, Kephas; Khakasa, Elizabeth; Namuddu, Mary Gorreth; Tukashaba, Living; Kisakye, Sarah; Asasira, Moreen; Lugoloobi, Nsibirwa Martin, 2027, "QDA data, Instrumental textural data by TPA, Instrumental Color data for extraction of RTB genotypes with superior matooke quality traits from RTB breeding populations, at NARL, Uganda.", https://doi.org/10.18167/DVN1/YUJRYR, CIRAD Dataverse, V1, UNF:6:jvnXRXqfrTYKUTrXIUdkgw== [fileUNF]
The selection of matooke clones with end-user acceptable traits is critical for ensuring consumer satisfaction and market competitiveness. This study evaluated various matooke clones based on sensory attributes, textural profile analysis (TPA), and colorimetric assessments using...
NIR Hyperspectral imaging for Hardness of Gari/Eba (cooked dough), at IITA, Ibadan, NigeriaEmbargoed
23 avr. 2025
Adesokan, Michael; Alamu, Emmanuel; Maziya-Dixon, Busie, 2027, "NIR Hyperspectral imaging for Hardness of Gari/Eba (cooked dough), at IITA, Ibadan, Nigeria", https://doi.org/10.18167/DVN1/INNHSI, CIRAD Dataverse, V1, UNF:6:a2s6wGqmwYSD39Ve/u4g2A== [fileUNF]
The near-infrared hyperspectral images of freshly prepared Gari_Eba produced from 23 cassava genotypes were acquired using the SPECIM FX 17 Camera. Gari_Eba dough was homogenized and placed on the translation stage for a line scan image capture. The hyperspectral image was captur...
Improved NIRS Calibration for Hardness, Resilience, Cohesiveness, Springiness and Adhesiveness of Gari/Eba (cooked dough), at IITA, Ibadan, Nigeria.Embargoed
23 avr. 2025
Maziya-Dixon, Busie; Alamu, Emmanuel; Adesokan, Michael, 2027, "Improved NIRS Calibration for Hardness, Resilience, Cohesiveness, Springiness and Adhesiveness of Gari/Eba (cooked dough), at IITA, Ibadan, Nigeria.", https://doi.org/10.18167/DVN1/Y6QZBZ, CIRAD Dataverse, V1, UNF:6:asbuWblN6oTvuT1F+S/rNw== [fileUNF]
The near-infrared reflectance spectra of Gari_Eba produced from 23 cassava genotypes were collected using the XDS-Rapid Content Analyzer. Gari_Eba dough was homogenized and filled into the equipment's ring cell sample holder. NIR spectra were collected in duplicate for each sampl...
Quantitative descriptive analysis and instrumental textural data, for Gari/Eba, at IITA, Nigeria.Embargoed
23 avr. 2025
Adesokan, Michael; Agho, Cynthia; Rabbi, Ismail; Maziya-Dixon, Busie, 2027, "Quantitative descriptive analysis and instrumental textural data, for Gari/Eba, at IITA, Nigeria.", https://doi.org/10.18167/DVN1/ZUQSEG, CIRAD Dataverse, V1, UNF:6:nIt0ckjNJtZAcen8zfrCjg== [fileUNF]
Gari is a significant, versatile, granular, and convenient product from cassava roots in the West Africa sub-region. The granular product is popular in West African countries due to its long shelf life and ease of preparation. It can be consumed by soaking in water or turned into...
Water absorption (WA20 and WA30) laboratory data with the corresponding NIRS spectra at CIAT, Colombia.Embargoed
22 avr. 2025
Tran, Thierry; Luis, Londoño, 2027, "Water absorption (WA20 and WA30) laboratory data with the corresponding NIRS spectra at CIAT, Colombia.", https://doi.org/10.18167/DVN1/LXN6H0, CIRAD Dataverse, V1
This dataset is a compilation of all the water absorption datasets of cassava harvested at CIAT (Colombia) from various projects in 2020, 2021,2022 and 2023 and their corresponding spectra.
Texture, QDA and consumer acceptability data of pounded yam from selected D. alata and D. rotundata genotypes in Bowen University, NigeriaEmbargoed
22 avr. 2025
Bolanle, Otegbayo; Oluyinka, Oroniran; Tolulope Ayomide, Alamu; Abiola, Tanimola, 2027, "Texture, QDA and consumer acceptability data of pounded yam from selected D. alata and D. rotundata genotypes in Bowen University, Nigeria", https://doi.org/10.18167/DVN1/Q3K5DM, CIRAD Dataverse, V1, UNF:6:0mB7m4Wn8HS6myTzLSAX0A== [fileUNF]
This dataset includes texture Data, QDA and consumer testing data collected in 2024 within the deliverables framework for RTB Breeding Phase 1.
NIRS Calibration for Starch yield and DMC on fresh whole root at NaCRRI, Uganda.Embargoed
22 avr. 2025
Wembabazi, Enoch; Nuwamanya, Ephraim; Iragaba, Paula; Esuma, Williams, 2027, "NIRS Calibration for Starch yield and DMC on fresh whole root at NaCRRI, Uganda.", https://doi.org/10.18167/DVN1/AJDZCP, CIRAD Dataverse, V1, UNF:6:SLTp/sPIGgqva5KwvouX0A== [fileUNF]
This activity entails lab data acquired on whole fresh cassava for building NIR predictions for starch yield, dry matter content and spectra. Spectra were collected using Scio NIRS on whole roots.
Determination of starch yield and hydrogen cyanide (HCN) for fresh grated cassava root at NaCRRI, Uganda.Embargoed
22 avr. 2025
Wembabazi, Enoch; Nuwamanya, Ephraim; Iragaba, Paula; Esuma, Williams, 2027, "Determination of starch yield and hydrogen cyanide (HCN) for fresh grated cassava root at NaCRRI, Uganda.", https://doi.org/10.18167/DVN1/EGHCGP, CIRAD Dataverse, V1, UNF:6:jRipCQ0nwB8YYZfQNYvxSQ== [fileUNF]
Starch yield and hydrogen cyanide (HCN) were assessed on 29 accessions of cassava in a preliminary yield trial (2023_PYT_B_Namulonge) using a gravimetric assay for starch yield and picrate assay for HCN.
Determination of hydrogen cyanide and dry matter content for fresh grated cassava, at NaCRRI, Uganda.Embargoed
22 avr. 2025
Kanaabi, Michael; Wembabazi, Enoch; Nuwamanya, Ephraim; Iragaba, Paula; Esuma, Williams, 2027, "Determination of hydrogen cyanide and dry matter content for fresh grated cassava, at NaCRRI, Uganda.", https://doi.org/10.18167/DVN1/WEQWBU, CIRAD Dataverse, V1, UNF:6:ZVKHxft5924i7WXgT0dvrA== [fileUNF]
Hydrogen cyanide (HCN) and dry matter content (DMC) were evaluated on accessions of cassava in a PYT population (2023_C3_PYT_Namulonge). Dry matter was assayed using a gravimetric assay (oven drying and weighing) whereas HCN was assayed using a picrate colorimetric assay.
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