-Introduction. Texture parameters are important factors for characterizing the sensory quality of raw almonds; nevertheless there is scarce literature that explores sensory differences among cultivars. The aim of this study was to characterize quality attributes of different raw almond cultivars. Materials and methods. The almond cultivars 'Nonpareil', 'Mission', 'Supernova', 'Tuono', 'Ferragnès' and 'Marcona' were used to characterize their industrial and sensory quality attributes. A panel of 14 assessors with previous experience in testing stone fruit was specifically trained on descriptive analysis for determining quality and particularly texture of raw almonds. Results and discussion. A direct relationship was observed between kernel yield and shell fracture resistance; the American cultivars 'Nonpareil', and 'Mission' showed more minor shell fracture resistance than the European. 'Tuono' stood out for being tasty, crunchy and hard, whereas 'Marcona' was noted for its color intensity, crispness and hardness; but it lacked taste. 'Supernova' was described as tasty. Conclusion. A 5-h training period proved to be adequate for characterizing raw almond cultivars. The panel was able to discriminate between cultivars and segregate 'Nonpareil' and 'Mission' from the other cultivars in terms of texture attributes.
No abstract
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.