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.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

31 to 40 of 220 Results
14 avr. 2025
Adinsi, Laurent; Honfozo, Laurenda; Hotegni, Francis; Pede, Penelope; Akissoe, Noël, 2027, "Boiled yam consumer testing, QDA, instrumental texture dataset for the key quality traits at UAC-FSA, Benin", https://doi.org/10.18167/DVN1/ELM3O0, CIRAD Dataverse, V1, UNF:6:vdlh8Jf7/AhrjfKqB+T3xQ== [fileUNF]
Acceptance thresholds of key attributes of boiled yam were previously determined at sensory and instrumental levels. Seven or nine yam varieties were used for this purpose in 2022. Some of the models established need to be improved while others with high correlation coefficients...
14 avr. 2025
Adinsi, Laurent; Honfozo, Laurenda; Hotegni, Francis; Pede, Penelope; Akissoe, Noël, 2027, "Sensory and instrumental acceptance thresholds of pounded yam stretchability/extensibility by UAC-FSA, Bénin", https://doi.org/10.18167/DVN1/MQ9VXZ, CIRAD Dataverse, V1, UNF:6:6biczONZpC3rhlkMVhE/Eg== [fileUNF]
A main quality attribute of pounded yam is its extensibility/stretchability, with yams exhibiting high values being preferred by consumers. This study assessed the sensory and instrumental acceptance thresholds of stretchability through consumer testing, quantitative descriptive...
14 avr. 2025
Honfozo, Laurenda; Adinsi, Laurent; Hotegni, Francis; Pede, Penelope; Ayetigbo, Oluwatoyin; Arufe Villas, Santiago; Mestres, Christian; Dufour, Dominique; Akissoe, Noël, 2027, "Dataset for crumbliness of boiled yam through textural and dynamic rheology measurements in Benin", https://doi.org/10.18167/DVN1/DTQFEX, CIRAD Dataverse, V1, UNF:6:TO/HAZKcKykCigXHpDDtUg== [fileUNF]
Crumbly texture is a key attribute of boiled yam and it depends on yam variety. Previous studies revealed the link between boiled yam crumbliness and the hardness from penetration test (DOI 10.1002/jsfa.12589). Despite this strong relationship, the hardness expressed by the textu...
14 avr. 2025
Diby, N'Nan. A. Sylvie; Kouassi, Antonin; Beugre, Tatiana; Adiko, Judicael Evelyne; Yapi, Eric; Deffan, Prudence; N'goran Haddad, Patricia; Ehounou, Emmanuel; Dibi, Evrard; Kouakou, Michel Amani, 2027, "Consumer Testing, QDA and Instrumental texture analysis data for pounded yam, at CNRA, Côte d'Ivoire", https://doi.org/10.18167/DVN1/ZYLVTW, CIRAD Dataverse, V1, UNF:6:Rc8YlI8Ptm9VO2JwbZqqmQ== [fileUNF]
This file contains Descriptive Sensory Data, consumer testing data and instrumental textural (KDGE) data of pounded yam that was collected using panel trained following a standardized methodology. The data was collected in 2024 as part of the RTBbreeding project. The Cleaning of...
14 avr. 2025
Kouassi, Antonin; Nnan-Diby, Sylvie; Beugre, Tatiana; Adiko, Judicael Evelyne; Deffan, Prudence; Yapi, Eric; N'goran Haddad, Patricia; Siaka, Traore; Bomoh, Catherine; Assemand, Emma; Kouakou, Michel Amani; Mbeguie-A-Mbeguie, Didier, 2027, "Dataset for Instrumental texture by Penetrometry and TPA, Descriptive sensory analysis (QDA), and physicochemical analysis of fried plantain (Aloco), at CNRA, Côte d'Ivoire", https://doi.org/10.18167/DVN1/O9F2WQ, CIRAD Dataverse, V1, UNF:6:NfZsH00dndIwpzFPssqYkQ== [fileUNF]
This dataset contains physiochemical data of fresh and fried plantain (aloco). The measured biochemical parameters were dry material, pH, tirable acidity, soluble solid content, fat content, polyphenols, tannins, Citric Acid, D-Malic Acid. It also contains penetrometry data of fr...
14 avr. 2025
Cornet, Denis; Rouan, Lauriane; Desfontaines, Lucienne; Komivi, Dossa; Ezekiel, Houngbo; Beurier, Gregory, 2027, "NIRS calibration for yam mouldability at Cirad UMR Agap Institut, France", https://doi.org/10.18167/DVN1/ZJWHYW, CIRAD Dataverse, V1
The quality of pounded yam is a key criterion for the adoption of new varieties by both producers and consumers. Its assessment appears to be multifactorial. To date, no single compositional trait—such as amylose content, pectins, or dry matter—can reliably predict this quality....
14 avr. 2025
Yassine Janati, Idrissi; Meghar, Karima; Londoño, Luis; Tran, Thierry, 2027, "Dataset for assessing cassava cooking quality using NIR hyperspectral imaging at CIAT, Cali, Colombia", https://doi.org/10.18167/DVN1/OAURMK, CIRAD Dataverse, V1, UNF:6:rzw5NDvtzWr+8eD/WOv0fg== [fileUNF]
This database contains 2175 NIR spectra extracted from hyperspectral images of fresh cassava root slices from different genotypes, acquired at CIAT (Cali, Colombia) using a Specim FX17 hyperspectral camera. The database also includes WAB laboratory data measured on the same cassa...
14 avr. 2025
Siaka, Traore; Yapi, Eric; Kouassi, Antonin; Beugre, Tatiana; Adiko, Judicael Evelyne; N'goran Haddad, Patricia; Deffan, Prudence; Nnan-Diby, Sylvie; Mbeguie-A-Mbeguie, Didier, 2027, "Dataset on the agronomic characteristics of 12 genotypes of plantain at CNRA, Côte d'Ivoire.", https://doi.org/10.18167/DVN1/TBO0TM, CIRAD Dataverse, V1, UNF:6:wsTaGMvUvXr0cM/lPtHVsQ== [fileUNF]
Choosing plantain varieties adapted to local conditions in these times of climate change requires knowledge of their agronomic performance and disease resistance. The aim of this study was to obtain agronomic data from plantain genotypes grown under local conditions for the produ...
14 avr. 2025
Yapi, Eric; Kouassi, Antonin; Beugre, Tatiana; Adiko, Judicael Evelyne; N’goran Haddad, Patricia; Deffan, Prudence; Nnan-Diby, Sylvie; Mbeguie-A-Mbeguie, Didier; Siaka, Traore, 2027, "Dataset of physical parameters of plantain genotypes grown in Côte d'Ivoire", https://doi.org/10.18167/DVN1/9JBJG4, CIRAD Dataverse, V1, UNF:6:8t+J2oqz/E2gZO/ydJdl2g== [fileUNF]
Aloco or fried plantain is a local product in Côte d'Ivoire that is highly prized by the local population. However, its production is generally based on traditional banana varieties, which present many constraints with the advent of climate change. The creation of new plantain va...
14 avr. 2025
Ngoh Newilah, Gérard; Kendine Vepowo, Cédric; Goummeli, Socrate, 2027, "Dataset for establishing priority quality traits thresholds through correlation between instrumental measurements and sensory panel data at University of Dschang, Cameroon", https://doi.org/10.18167/DVN1/A7L9RE, CIRAD Dataverse, V1, UNF:6:IAPYaUwOW2E6MBhHZ3RwNg== [fileUNF]
The work that led to the production of this report was supported by the RTB Breeding project, through a sub-grant from the International Potato Center (CIP) to the French Agricultural Research Centre for International Development (CIRAD), Montpellier, France. The dataset aimed at...
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.