Decision tree scoring system to guide selection for consumer preference in sweetpotato breeding trials

Nakitto Mariam, Ssali Reuben, Johanningsmeier Suzanne D., Moyo Mukani, de Kock Henriette, Berget Ingunn, Okello Julius Juma, Mayanja Sarah, Tinyiro Samuel Edgar, Mendes Thiago, Benard Yada, Chelengat Doreen, Osaru Florence, Bugaud Christophe. 2023. Decision tree scoring system to guide selection for consumer preference in sweetpotato breeding trials. Journal of the Science of Food and Agriculture, 11 p.

https://doi.org/10.1002/jsfa.12883

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Résumé : BACKGROUND: Previously, a lexicon and protocol for quantitative descriptive analysis (QDA) was established for the Uganda sweetpotato breeding program. The implication of QDA scores for priority sensory attributes on consumer preference should be determined to interpret results efficiently and make decisions effectively. The present study aimed to develop a gender-responsive decision tree to obtain an overall sweetpotato eating quality score to facilitate demand-led targeted breeding selection. It focused on Kamuli and Hoima districts (Uganda) and uses pre-lease advanced clones ('NKB3', 'NKB105', 'NKB135', 'D11' and 'D20'), released varieties ('NASPOT 8' and 'NAROSPOT 1') and landraces ('Muwulu-Aduduma', 'Umbrella'). RESULTS: Including boiled sweetpotato sensory characteristics, namely mealy, sweet taste, sweetpotato smell, firm and not fibrous, in breeding design would benefit end-users, especially women given their role in varietal selection, food preparation and marketing. 'D20', 'NASPOT 8' and 'NAROSPOT 1' were most liked in both districts. 'NKB3' and 'D11' were the least liked in Hoima, whereas 'Muwulu-Aduduma' was the least liked in Kamuli. There was a positive correlation between color and overall liking (r2 = 0.8) and consumers liked the color (average rating ≥ 6 on a nine-point hedonic scale) of all genotypes. Threshold values (average rating on 11-point scales) for consumer acceptability were identified (sweet taste = 6, sweetpotato aroma and flavor = 6, firmness = 3, and mealiness = 4). A regression decision tree tool was created to calculate an eating quality selection index when screening lines in breeding programs using the values. CONCLUSION: Decision trees that include consumer needs and gender considerations would facilitate demand-led breeding and make varietal selection in sweetpotato breeding programs more effective.

Mots-clés Agrovoc : patate douce, comportement du consommateur, Ipomoea batatas, qualité des aliments, propriété organoleptique, amélioration génétique, analyse organoleptique, préférence alimentaire, génotype, sélection

Mots-clés géographiques Agrovoc : Ouganda

Mots-clés libres : Quality control, Efficient breeding, Selection index, RTB crops

Classification Agris : S01 - Nutrition humaine - Considérations générales
F30 - Génétique et amélioration des plantes

Champ stratégique Cirad : CTS 3 (2019-) - Systèmes alimentaires

Agences de financement européennes : European Commission

Agences de financement hors UE : Consortium of International Agricultural Research Centers, Bill and Melinda Gates Foundation

Programme de financement européen : H2020

Projets sur financement : (FRA) Breeding RTB Products for End User Preferences, (EU) Innofood Africa

Auteurs et affiliations