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

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cg.authorship.typesCGIAR and developing country institute
cg.authorship.typesCGIAR and advanced research institute
cg.contributor.affiliationInternational Potato Center
cg.contributor.affiliationUnited States Department of Agriculture
cg.contributor.affiliationUniversity of Pretoria
cg.contributor.affiliationNorwegian Institute of Food, Fisheries and Aquaculture Research
cg.contributor.affiliationNational Agricultural Research Organisation, Uganda
cg.contributor.affiliationUniversité de Montpellier
cg.contributor.donorCGIAR Trust Fund
cg.contributor.initiativeAccelerated Breeding
cg.creator.identifierMariam Nakitto: 0000-0002-4140-7216
cg.creator.identifierReuben SSALI Tendo: 0000-0002-8143-6564
cg.creator.identifierMukani Moyo: 0000-0001-5658-2669
cg.creator.identifierRiëtte De Kock: 0000-0003-3660-233X
cg.creator.identifierJulius Juma Okello: 0000-0003-2217-2770
cg.creator.identifierSarah Mayanja: 0000-0002-9698-0036
cg.creator.identifierThiago Otavio Mendes De Paula: 0000-0003-3695-7827
cg.howPublishedFormally Published
cg.identifier.doihttps://doi.org/10.1002/jsfa.12883
cg.isijournalISI Journal
cg.issn1097-0010
cg.issue8
cg.journalJournal of the Science of Food and Agriculture
cg.reviewStatusPeer Review
cg.subject.actionAreaGenetic Innovation
cg.subject.cipBREEDING
cg.subject.cipSWEETPOTATOES
cg.subject.cipSWEETPOTATO AGRI-FOOD SYSTEMS
cg.subject.impactAreaNutrition, health and food security
cg.subject.sdgSDG 2 - Zero hunger
cg.volume104
dc.contributor.authorNakitto, M.
dc.contributor.authorSsali, R.T.
dc.contributor.authorJohanningsmeier, S.D.
dc.contributor.authorMoyo, Mukani
dc.contributor.authorKock, H. de
dc.contributor.authorBerget, I.
dc.contributor.authorOkello, J.J.
dc.contributor.authorMayanja, S.
dc.contributor.authorTinyiro, S.E.
dc.contributor.authorMendes, T.
dc.contributor.authorBenard, Y.
dc.contributor.authorChelengat, D.
dc.contributor.authorOsaru, F.
dc.contributor.authorBugaud, C.
dc.date.accessioned2023-08-04T16:09:22Zen
dc.date.available2023-08-04T16:09:22Zen
dc.identifier.urihttps://hdl.handle.net/10568/131398
dc.titleDecision tree scoring system to guide selection for consumer preference in sweetpotato breeding trialsen
dcterms.abstractBackground 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. This 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’, ‘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, while ‘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 9-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.en
dcterms.accessRightsOpen Access
dcterms.audienceAcademics
dcterms.audienceCGIAR
dcterms.audienceDevelopment Practitioners
dcterms.audienceDonors
dcterms.audienceExtension
dcterms.audienceFarmers
dcterms.audienceGeneral Public
dcterms.audienceNGOs
dcterms.audiencePolicy Makers
dcterms.audienceScientists
dcterms.available2023-08-08
dcterms.bibliographicCitationNakitto, M.; Ssali, R.T.; Johanningsmeier, S.D.; Moyo, M.; de Kock, H.; Berget, I.; Okello, J.J.; Mayanja, S.; Tinyiro, S.E.; Mendes, T.; Benard, Y.; Chelengat, D.; Osaru, F.; Bugaud, C. 2023. Decision tree scoring system to guide selection for consumer preference in sweetpotato breeding trials. Journal of the Science of Food and Agriculture. ISSN 1097-0010. DOI: https://doi.org/10.1002/jsfa.12883en
dcterms.extentpp. 4615-4625
dcterms.issued2024-06
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherWiley
dcterms.subjecttreesen
dcterms.subjectsweet potatoesen
dcterms.subjectbreedingen
dcterms.subjectfood scienceen
dcterms.subjectbiotechnologyen
dcterms.typeJournal Article

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