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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21 to 30 of 220 Results
Instrumental Textural data by TPA, Instrumental colour data, and QDA data for Matooke cooked using different methods, at NARL: Kampala, Uganda.Embargoed
14 avr. 2025
Kisakye, Sarah; Asiimwe, Amos; Namuddu, Mary; Asasira, Moreen; Khakasa, Elizabeth; Tukashaba, Living; Mukasa, Yusuf; Kamoga, Julius; Nowakunda, Kephas, 2027, "Instrumental Textural data by TPA, Instrumental colour data, and QDA data for Matooke cooked using different methods, at NARL: Kampala, Uganda.", https://doi.org/10.18167/DVN1/S5GV1X, CIRAD Dataverse, V1, UNF:6:D/L5ITMO0Z5Hs0skri0j9A== [fileUNF]
Instrumental Textural data by TPA, Instrumental colour data, and QDA data was collected from three cooking banana (Matooke) varieties of contrasting characteristics (Kibuzi, M9 and Narita 24) harvested at maturity based on the fullness of the fingers. Six cooking methods were use...
NIRS Calibration for retting ability of soaked cassava roots at NRCRI, Umudike, NigeriaEmbargoed
14 avr. 2025
Ogbete, Ernest Chukwudi; Chijioke, Ugo; Okoronkwo, Justice, 2027, "NIRS Calibration for retting ability of soaked cassava roots at NRCRI, Umudike, Nigeria", https://doi.org/10.18167/DVN1/8HMPIQ, CIRAD Dataverse, V1
The retting roots of soaked cassava roots were evaluated for potential good calibration and prediction equation models using handheld NIRS equipment. Seventy (70) cassava genotypes from Umudike and Otobi locations from Crossing block and Advanced Yield Trials (AYT) of NextGen wer...
NIRS Calibration for hardness, cohesiveness as textural properties of Fufu dough at NRCRI, Umidike, Nigeria.Embargoed
14 avr. 2025
Ogbete, Ernest Chukwudi; Ugo, Chijioke; Okoronkwo, Justice, 2027, "NIRS Calibration for hardness, cohesiveness as textural properties of Fufu dough at NRCRI, Umidike, Nigeria.", https://doi.org/10.18167/DVN1/QU5BMR, CIRAD Dataverse, V1, UNF:6:bRr4bytx+2OROxVaVtogbw== [fileUNF]
The textural properties of fufu dough samples were evaluated for potential good calibration and prediction equation models using handheld NIRS equipment. Seventy (70) cassava genotypes from Umudike and Otobi locations from Crossing block and Advanced Yield Trials (AYT) of NextGen...
TPA, QDA and Consumer testing data for for determination of thresholds of quality traits of boiled sweetpotato at CIP, Uganda.Embargoed
14 avr. 2025
Nakitto, Mariam; Serunkuma, Edwin; Tendo, Reuben Ssali, 2027, "TPA, QDA and Consumer testing data for for determination of thresholds of quality traits of boiled sweetpotato at CIP, Uganda.", https://doi.org/10.18167/DVN1/3GVBJD, CIRAD Dataverse, V1, UNF:6:sXns6DSP7PNJXcK7TeJauw== [fileUNF]
The data file contains data collected on boiled sweetpotato samples to determine thresholds for different quality attributes of boiled sweetpotatoes.
Instrumental textural data by TPA and QDA for different accessions of boiled sweetpotato at CIP, Uganda.Embargoed
14 avr. 2025
Nakitto, Mariam; Tendo, Reuben Ssali; Serunkuma, Edwin, 2027, "Instrumental textural data by TPA and QDA for different accessions of boiled sweetpotato at CIP, Uganda.", https://doi.org/10.18167/DVN1/Q4AUQA, CIRAD Dataverse, V1, UNF:6:sXns6DSP7PNJXcK7TeJauw== [fileUNF]
This dataset contains instrumental textural data by TPA and quantitative descriptive analysis (QDA) conducted on different sweetpotato accessions from different locations in Uganda.
Physicochemical data, for raw and boiled cassava, at INRAE Avignon, FranceEmbargoed
14 avr. 2025
Ghanem, Otmane; Rolland-Sabate, Agnes; Bureau, Sylvie; Le-Bourvellec, Carine, 2027, "Physicochemical data, for raw and boiled cassava, at INRAE Avignon, France", https://doi.org/10.18167/DVN1/UQZNJX, CIRAD Dataverse, V1
This document presents the results of physicochemical analyses conducted on eight cassava varieties with contrasting textural properties. Cassava, a staple crop essential for food security in rural Africa, is a major source of carbohydrates. However, improving its post-cooking te...
Dataset for Thresholds determination for key quality traits for acceptability using Consumer Testing (JAR), Instrumental, and QDA measurements of boiled cassava at NaCRRI: Kampala, Uganda.Embargoed
14 avr. 2025
Wembabazi, Enoch; Muhumuza, Nicholas; Nuwamanya, Ephraim; Iragaba, Paula; Esuma, Williams, 2027, "Dataset for Thresholds determination for key quality traits for acceptability using Consumer Testing (JAR), Instrumental, and QDA measurements of boiled cassava at NaCRRI: Kampala, Uganda.", https://doi.org/10.18167/DVN1/AVVERA, CIRAD Dataverse, V1, UNF:6:SUWUv6c2xhQqIS07wKE3pg== [fileUNF]
Data was collected from ten contrasting cassava varieties, both landraces and hybrids representing good, medium, and poor varieties based on their characteristics. The varieties were harvested at full maturity. Hedonic/ overall and JAR tests were used during the evaluations. QDA...
Hyperspectral dataset for fresh cassava roots at IITA, Ibadan, NigeriaEmbargoed
14 avr. 2025
Adesokan, Michael; Alamu, Emmanuel; Maziya-Dixon, Busie, 2027, "Hyperspectral dataset for fresh cassava roots at IITA, Ibadan, Nigeria", https://doi.org/10.18167/DVN1/3CK0WL, CIRAD Dataverse, V1, UNF:6:tE8rjHphWWjmxOWCh6Mv7Q== [fileUNF]
This dataset contains 42 average spectral of fresh, intact cassava roots acquired using the hyperspectral imaging system (SPECIM FX17).The samples were placed on a translation stage at a distance of 30 cm from the camera's focus. A duplicate scan of each cassava genotype was capt...
Dataset on the extensibility of pounded yam from different yam genotypes (by KDGE) in Côte d'IvoireEmbargoed
14 avr. 2025
Adou, Emmanuel; Yapi Yapi, Eric; Mbeguie-Mbeguie, Didier; Kouassi, Antonin; Nnan-Diby, Sylvie, 2027, "Dataset on the extensibility of pounded yam from different yam genotypes (by KDGE) in Côte d'Ivoire", https://doi.org/10.18167/DVN1/ZDL9ZL, CIRAD Dataverse, V1, UNF:6:/Gp/HGyvHf6gq6e3ov94+Q== [fileUNF]
The CNRA yam genetic resources collection contains a diversity of accessions consisting of traditional, introduced and hybrid varieties. This collection was the subject of characterization of the quality of pounded yam (foutou) in order to identify varieties suitable for making p...
Dataset on the parameters studied from promising yam genotypes in BeninEmbargoed
14 avr. 2025
Honfozo, Laurenda; Hotegni, Francis; Adinsi, Laurent; Pede, Penelope; Arufe Villas, Santiago; Akissoe, Noël, 2027, "Dataset on the parameters studied from promising yam genotypes in Benin", https://doi.org/10.18167/DVN1/QURCPJ, CIRAD Dataverse, V1, UNF:6:ZGP2nYzdIjTyTvLCcbnoyg== [fileUNF]
Boiled yam quality traits mainly includes white color, sweet taste and the crumbly texture. The latter, as a key trait for boiled yam acceptance, is highly variety dependent. The study aimed at classifying yam genotypes regarding their crumbliness for boiled yam. Ten (10) landrac...
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