The Use of the Dynamics of Changes in Table Eggs during Storage to Predict the Age of Eggs Based on Selected Quality Traits

The aim of the study was to determine daily changes in some egg quality parameters, indirectly reflecting egg freshness, and to assess the possibility of predicting time from laying using mathematical methods. The study material consisted of 365 table eggs of medium (M, ≥53 g and <63 g) and large...

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Autores principales:	Kamil Drabik, Tomasz Próchniak, Kornel Kasperek, Justyna Batkowska
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	egg storage time egg weight class statistical models regression Veterinary medicine SF600-1100 Zoology QL1-991
Acceso en línea:	https://doaj.org/article/034da4ab1f2a4780abfdc9eeab346c05
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spelling	oai:doaj.org-article:034da4ab1f2a4780abfdc9eeab346c052021-11-25T16:18:44ZThe Use of the Dynamics of Changes in Table Eggs during Storage to Predict the Age of Eggs Based on Selected Quality Traits10.3390/ani111131922076-2615https://doaj.org/article/034da4ab1f2a4780abfdc9eeab346c052021-11-01T00:00:00Zhttps://www.mdpi.com/2076-2615/11/11/3192https://doaj.org/toc/2076-2615The aim of the study was to determine daily changes in some egg quality parameters, indirectly reflecting egg freshness, and to assess the possibility of predicting time from laying using mathematical methods. The study material consisted of 365 table eggs of medium (M, ≥53 g and <63 g) and large (L, ≥63 g and <73 g) weight classes (commercial stock, cage system, brown-shelled eggs) collected on the same day. Eggs were numbered individually and placed on transport trays and stored (14 °C, 70% RH). Every day, for 35 days, egg quality characteristics were analyzed (10 eggs per group). The change of traits in time was analyzed on the basis of linear and polynomial regression equations, depending on the trait. Based on model fitting, eight traits were selected as those most affected by storage time: egg weight and specific weight, Haugh units, albumen weight, air cell depth, yolk index, albumen and yolk pH. These traits, excluding those related to the weight, were then used in a multiple linear regression model to predict egg age. All regression models presented in this study were characterized by high predictive efficiency, which was confirmed by comparison of the observed and estimated values.Kamil DrabikTomasz PróchniakKornel KasperekJustyna BatkowskaMDPI AGarticleegg storagetimeegg weight classstatistical modelsregressionVeterinary medicineSF600-1100ZoologyQL1-991ENAnimals, Vol 11, Iss 3192, p 3192 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	egg storage time egg weight class statistical models regression Veterinary medicine SF600-1100 Zoology QL1-991
spellingShingle	egg storage time egg weight class statistical models regression Veterinary medicine SF600-1100 Zoology QL1-991 Kamil Drabik Tomasz Próchniak Kornel Kasperek Justyna Batkowska The Use of the Dynamics of Changes in Table Eggs during Storage to Predict the Age of Eggs Based on Selected Quality Traits
description	The aim of the study was to determine daily changes in some egg quality parameters, indirectly reflecting egg freshness, and to assess the possibility of predicting time from laying using mathematical methods. The study material consisted of 365 table eggs of medium (M, ≥53 g and <63 g) and large (L, ≥63 g and <73 g) weight classes (commercial stock, cage system, brown-shelled eggs) collected on the same day. Eggs were numbered individually and placed on transport trays and stored (14 °C, 70% RH). Every day, for 35 days, egg quality characteristics were analyzed (10 eggs per group). The change of traits in time was analyzed on the basis of linear and polynomial regression equations, depending on the trait. Based on model fitting, eight traits were selected as those most affected by storage time: egg weight and specific weight, Haugh units, albumen weight, air cell depth, yolk index, albumen and yolk pH. These traits, excluding those related to the weight, were then used in a multiple linear regression model to predict egg age. All regression models presented in this study were characterized by high predictive efficiency, which was confirmed by comparison of the observed and estimated values.
format	article
author	Kamil Drabik Tomasz Próchniak Kornel Kasperek Justyna Batkowska
author_facet	Kamil Drabik Tomasz Próchniak Kornel Kasperek Justyna Batkowska
author_sort	Kamil Drabik
title	The Use of the Dynamics of Changes in Table Eggs during Storage to Predict the Age of Eggs Based on Selected Quality Traits
title_short	The Use of the Dynamics of Changes in Table Eggs during Storage to Predict the Age of Eggs Based on Selected Quality Traits
title_full	The Use of the Dynamics of Changes in Table Eggs during Storage to Predict the Age of Eggs Based on Selected Quality Traits
title_fullStr	The Use of the Dynamics of Changes in Table Eggs during Storage to Predict the Age of Eggs Based on Selected Quality Traits
title_full_unstemmed	The Use of the Dynamics of Changes in Table Eggs during Storage to Predict the Age of Eggs Based on Selected Quality Traits
title_sort	use of the dynamics of changes in table eggs during storage to predict the age of eggs based on selected quality traits
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/034da4ab1f2a4780abfdc9eeab346c05
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The Use of the Dynamics of Changes in Table Eggs during Storage to Predict the Age of Eggs Based on Selected Quality Traits

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