Establishing the linkage between eba's instrumental and sensory descriptive profiles and their correlation with consumer preferences: implications for cassava breeding.
biophysical traits
consumer acceptability
genotypes
quality traits
textural properties
Journal
Journal of the science of food and agriculture
ISSN: 1097-0010
Titre abrégé: J Sci Food Agric
Pays: England
ID NLM: 0376334
Informations de publication
Date de publication:
22 Feb 2023
22 Feb 2023
Historique:
revised:
03
02
2023
received:
29
11
2022
accepted:
22
02
2023
pubmed:
23
2
2023
medline:
23
2
2023
entrez:
22
2
2023
Statut:
aheadofprint
Résumé
Gari and eba, forms of cassava semolina, are mainly consumed in Nigeria and other West African countries. This study aimed to define the critical quality traits of gari and eba, to measure their heritability, to define medium and high throughput instrumental methods for use by breeders, and to link the traits with consumer preferences. The definition of a food product's profiles, including its biophysical, sensory, and textural qualities, and the identification of the characteristics that determine its acceptability, are important if new genotypes are to be adopted successfully. Eighty cassava genotypes and varieties (three different sets) from the International Institute of Tropical Agriculture (IITA) research farm were used for the study. Participatory processing and consumer testing data on different types of gari and eba products were integrated to prioritize the traits preferred by processors and consumers. The color, sensory, and instrumental textural properties of these products were determined using standard analytical methods, and standard operating protocols (SOPs) developed by the RTBfoods project (Breeding Roots, Tubers, and Banana Products for End-user Preferences, https://rtbfoods.cirad.fr). There were significant (P < 0.05) correlations between instrumental hardness and sensory hardness and between adhesiveness and sensory moldability. Principal component analysis showed broad discrimination amongst the cassava genotypes and the association of the genotypes concerning the color and textural properties. The color properties of gari and eba, together with instrumental measures of hardness and cohesiveness, are important quantitative discriminants of cassava genotypes. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Sections du résumé
BACKGROUND
BACKGROUND
Gari and eba, forms of cassava semolina, are mainly consumed in Nigeria and other West African countries. This study aimed to define the critical quality traits of gari and eba, to measure their heritability, to define medium and high throughput instrumental methods for use by breeders, and to link the traits with consumer preferences. The definition of a food product's profiles, including its biophysical, sensory, and textural qualities, and the identification of the characteristics that determine its acceptability, are important if new genotypes are to be adopted successfully.
RESULTS
RESULTS
Eighty cassava genotypes and varieties (three different sets) from the International Institute of Tropical Agriculture (IITA) research farm were used for the study. Participatory processing and consumer testing data on different types of gari and eba products were integrated to prioritize the traits preferred by processors and consumers. The color, sensory, and instrumental textural properties of these products were determined using standard analytical methods, and standard operating protocols (SOPs) developed by the RTBfoods project (Breeding Roots, Tubers, and Banana Products for End-user Preferences, https://rtbfoods.cirad.fr). There were significant (P < 0.05) correlations between instrumental hardness and sensory hardness and between adhesiveness and sensory moldability. Principal component analysis showed broad discrimination amongst the cassava genotypes and the association of the genotypes concerning the color and textural properties.
CONCLUSIONS
CONCLUSIONS
The color properties of gari and eba, together with instrumental measures of hardness and cohesiveness, are important quantitative discriminants of cassava genotypes. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Bill and Melinda Gates Foundation
Informations de copyright
© 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Références
Udoro EO, Kehinde AT, Olasunkanmi SG and Charles TA, Studies on the physicochemical, functional, and sensory properties of Gari processed from dried cassava chips. J Food Process Technol 5:293 (2014).
Awoyale W, Alamu E, Irondi E, Maziya-Dixon B and Menkir A, Impact of packaging material and storage condition on retention of provitamin A carotenoids and xanthophylls in yellow-seeded maize flour. Funct Foods Health Dis 8:472-487 (2018).
Escobar A, Dahdouh L, Rondet E, Ricci J, Dufour D, Tran T et al., Development of a novel integrated approach to monitor processing of cassava roots into Gari: macroscopic and microscopic scales. Food Bioprocess Technol 11:1370-1380 (2018).
Irtwange SV and Achimba O, Effect of the duration of fermentation on the quality of Gari. Curr Res J Biol Sci 1:150-154 (2009).
Adinsi L, Akissoé N, Escobar A, Prin L, Kougblenou N, Dufour D et al., Sensory and physicochemical profiling of traditional and enriched Gari in Benin. Food Sci Nutr 7:3338-3348 (2019).
Teeken B, Agbona A, Bello A, Olaosebikan O, Alamu E, Adesokan M et al., Understanding cassava varietal preferences through pairwise ranking of Gari-Eba and fufu prepared by local farmer-processors. Int J Food Sci Technol 56:1258-1277 (2020).
Ndjouenkeu R, Ngoualem Kegah F, Teeken B, Okoye B, Madu T, Olaosebikan OD et al., From cassava to Gari: mapping of quality characteristics and end-user preferences in Cameroon and Nigeria. Int J Food Sci Technol 56:1223-1238 (2021).
The RTBfoods project (RTBfoods, Breeding Roots, Tubers, and Banana products for end-user preferences): https://rtbfoods.cirad.fr
Awoyale W, Asiedu R, Kawalawu WK, Abass A, Maziya-Dixon B, Kromah A et al., Assessment of the suitability of different cassava varieties for Gari and fufu flour production in Liberia. Asian Food Sci J 14:36-52 (2020).
Eje BE, Ugwu KC and Okafor EC, Physiochemical and organoleptic properties of Gari from cassava roots stored in moist medium for fifteen weeks. Int J Eng Sci Innov Technol 4:1-6 (2015).
Awoyale W, Oyedele H, Adenitan AA, Adesokan M, Alamu EO and Maziya-Dixon B, Relationship between quality attributes of backslopped fermented Gari and the sensory and instrumental texture profile of the cooked dough (Eba). J Food Process Preserv 46:e16115 (2022).
Maziya-Dixon B, Adesokan M, Alamu E, Awoyale W, Chijioke U, Ayetigbo O et al., Standard operating protocol for textural characterization of Eba, in Biophysical Characterization of Quality Traits, WP2. RTBfoods Project-CIRAD, Ibadan, p. 16 (2022). https://doi.org/10.18167/agritrop/00604.
Maziya-Dixon B, Oyedele H, Alamu E, Awoyale W, Adesokan M, Chijioke U et al., Sensory Characterization of Eba. Biophysical Characterization of Quality Traits, WP2. RTBfoods Project-CIRAD, Ibadan, p. 13 (2020). https://doi.org/10.18167/agritrop/00596.
Alamu E, Adesokan M, Meghar K and Davrieux F. NIRS measurement on milled and un-milled gari. High-throughput phenotyping protocols (HTPP), WP3. RTBfoods Project-CIRAD, Ibadan, p. 10 (2021). https://doi.org/10.18167/agritrop/00674.
Wickham, H., Chang, W., & Wickham, M. H. (2016). Package ‘ggplot2’. Create elegant data visualizations using the grammar of graphics. Version 2.1, 1-189.
Teeken B, Garner E, Agbona A, Balogun I, Olaosebikan O, Bello A et al., Beyond “Women's traits”: exploring how gender, social difference, and household characteristics influence trait preferences. Front Sustainable Food Syst 5:740926 (2021).
Van Etten J, Beza E, Calderer L, Van Duijvendijk K, Fadda C, Fantahun B et al., First experiences with a novel farmer citizen science approach: crowd-sourcing participatory variety selection through on-farm triadic comparisons of technologies (tricot). Exp Agric 55:275-296 (2019).
Moyo M, Ssali R, Namanda S, Nakitto M, Dery EK, Akansake D et al., Consumer preference testing of boiled sweetpotato using crowd-sourced citizen science in Ghana and Uganda. Front Sustainable Food Syst 5:620363 (2021).
Turner HL, van Etten J, Firth D and Kosmidis I, Modelling rankings in R: the PlackettLuce package. Comput Stat 35:1027-1057 (2020).
Zeileis A, Hothorn T and Hornik K, Model-based recursive partitioning. J Comput Graph Stat 17:492-514 (2008).
Alamu EO, Menkir A, Adesokan M, Fawole S and Maziya-Dixon B, Near-infrared reflectance spectrophotometry (NIRS) application in the amino acid profiling of quality protein maize (QPM). Foods 11:2779 (2022).
Yildiz I, Dy J, Erdogmus D, Kalpathy-Cramer J, Ostmo S, Campbell JP et al., Fast and accurate ranking regression, in International Conference on Artificial Intelligence and Statistics. Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR, pp. 77-88 (2020, June).
Mestres, C., Tran, T., Bugaud, C., Ayetigbo, O., Dahdouh, L., Maziya-Dixon, B., Dufour, D. (2022). Biophysical characterization of quality traits-Scientific progress report for period 4 (Jan-Dec 2021). RTBfoods Scientific Progress Report, Montpellier, France, 138p, (2022). https://agritrop.cirad.fr/602147/
Teeken B, Olaosebikan O, Haleegoah J, Oladejo E, Madu T, Bello A et al., Cassava trait preferences of men and women farmers in Nigeria: implications for breeding. Econ Bot 72:263-277 (2018).
Wossen AT, Girma TG, Abdoulaye T, Rabbi IY, Olanrewaju A, Bentley J, et al., (2017). The cassava monitoring survey in Nigeria: final report (p. 66). Ibadan: IITA. https://hdl.handle.net/10568/80706.