Agriculture News, jobs

Food News

RTBfoods new program to encourage better variety choices in Africa

A new program called RTBfoods (Breeding RTB Products for End User Preferences) was launched recently. It is a 5-year effort created to pinpoint the quality traits that determine the adoption of new root, tuber and banana (RTB) varieties developed by breeders. The 11.5 million-euro project will take a novel approach involving consumers, processors and researchers, and will eventually serve to boost food security.

According to Dominique Dufour, a CIRAD researcher specializing in cassava, the project will serve to link local consumer preferences with quantitative quality criteria before integrating these criteria into breeding programs. The aim is to ensure more widespread adoption of improved varieties, hence boosting food security and farmers’ incomes.

The RTBfoods project will be implemented with five partner countries: Benin, Cameroon, Ivory Coast, Nigeria, and Uganda. It will analyze three common uses of these target crops: cassava, yam, sweet potato, plantain, and tropical potato. The analysis will use a reverse engineering approach, working backwards from consumers to breeders.

RTBfoods will focus on five work packages:
- Socioeconomic aspects to answer the following question: along the value chain, what are the criteria that determine whether a variety will be adopted or rejected? Aspects linked to gender (role of women and children in decision-making) will be closely examined;
- The link between the above users’ criteria and the biophysical properties of different varieties: how do people’s preferences (texture, consistency, taste, etc.) relate to biophysical data (starch and fiber content, etc.)?
- Building on CIRAD’s expertise in terms of near-infrared spectroscopy analysis (NIRS). This technology serves to detect the biological compounds that make up food matrices: it is used as a fingerprint of foodstuffs, providing information on certain quality traits (cooking quality, firmness, etc.). This approach allows breeders to predict the quality traits of their new varieties;
- The genetic components of quality traits and assessing the impact of the environment on their variability, such as the climate, soil, etc.;
- Ensuring that breeders increase their use of selection tools for quality traits, and that new varieties better match the users’ quality criteria.


Copyright © 2017 · All Rights Reserved · IndiaAgroNet.Com