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Egg Quality Index: A more accurate alternative to the Haugh unit to describe the internal quality of goose eggs

Narushin, Valeriy G., Romanov, Michael N., Salamon, Attila, Kent, John P. (2023) Egg Quality Index: A more accurate alternative to the Haugh unit to describe the internal quality of goose eggs. Food Bioscience, 55 . Article Number 102968. ISSN 2212-4292. E-ISSN 2212-4306. (doi:10.1016/j.fbio.2023.102968) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:102222)

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Enhancing goose production for human consumption requires evaluating the quality of goose eggs based on their physical characteristics. Grounded on the theoretical and experimental studies, we developed two calculation formulae that enabled the computation of Egg Quality Index (EQI) as an alternative to the widely used Haugh unit (HU) score in assessing goose egg quality. In addition to the egg weight (W) and the height of thick albumen (H), this computation takes into account the indicators for the yolk, i.e., its diameter (d) and height (h). Depending on the research preferences when measuring d or h, one of the two proposed calculation equations can be employed. Using simulation methods that considered all possible combinations of W, H and d values, we created and analyzed a database of virtual goose eggs. As a result, we found that the use of EQI as compared to HU seems preferable due to the possibility to evaluate a greater number of options and nuances of variation in quality characteristics in goose eggs. The proposed novel index for defining the goose egg quality can be a promising and useful tool for linking structure and functionality in goose eggs and for further application in food and poultry industries.

Item Type: Article
DOI/Identification number: 10.1016/j.fbio.2023.102968
Uncontrolled keywords: Goose eggs; Haugh unit; Egg Quality Index; Albumen index
Subjects: Q Science > QA Mathematics (inc Computing science)
Q Science > QA Mathematics (inc Computing science) > QA440 Geometry
Q Science > QH Natural history > QH324.2 Computational biology
Q Science > QL Zoology
S Agriculture > SF Animal culture
Divisions: Divisions > Division of Natural Sciences > Centre for Interdisciplinary Studies of Reproduction
Divisions > Division of Natural Sciences > Biosciences
Signature Themes: Food Systems, Natural Resources and Environment
Depositing User: Mike Romanov
Date Deposited: 26 Jul 2023 08:47 UTC
Last Modified: 23 Jan 2024 00:02 UTC
Resource URI: (The current URI for this page, for reference purposes)

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