Connecting data for consumer preferences, food quality, and breeding in support of market-oriented breeding of root, tuber, and banana crops
Arnaud, Elizabeth | Menda, Naama | Tran, Thierry | Asiimwe, Amos | Kanaabi, Michael | Meghar, Karima | Forsythe, Lora | Kawuki, Robert Sezi | Ellebrock, Bryan | Kayondo, Ismail Siraj | Agbona, Afolabi | Zhang, Xiaofei | Mendes, Thiago | Laporte, Marie-Angélique | Nakitto, Mariam | Ssali, Reuben Tendo | Asfaw, Asrat | Uwimana, Brigitte | Ogbete, Chukwudi | Makunde, Godwill | Maraval, Isabelle | Mueller, Lukas | Bouniol, Alexandre | Fauvelle, Eglantine | Dufour, Dominique
The 5-year project 'Breeding roots, tubers and banana products for end user preferences' (RTBfoods) focused on collecting consumers' preferences on 12 food products to guide breeding programmes. It involved multidisciplinary teams from Africa, Latin America, and Europe. Diverse data types were generated on preferred qualities of users (farmers, family and entrepreneurial processors, traders or retailers, and consumers). Country-based target product profiles were produced with a comprehensive market analysis, disaggregating gender's role and preferences, providing prioritised lists of traits for the development of new plant varieties. We describe the approach taken to create, in the roots, tubers, and banana breeding databases, a centralised and meaningful open access to sensory information on food products and genotypes. Biochemical, instrumental textural, and sensory analysis data are then directly connected to the specific plant record while user survey data, bearing personal information, were analysed, anonymised, and uploaded in a repository. Names and descriptions of food quality traits were added into the Crop Ontology for labelling data in the databases, along with the various methods of measurement used by the project. The development and application of standard operating procedures, data templates, and adapted trait ontologies improved the data quality and its format, enabling the linking of these to the plant material studied when uploaded in the breeding databases or in repositories. Some modifications to the database model were necessary to accommodate the food sensory traits and sensory panel trials.
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