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

Animals ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 3192
Author(s):  
Kamil Drabik ◽  
Tomasz Próchniak ◽  
Kornel Kasperek ◽  
Justyna Batkowska
Keyword(s):  
Polynomial Regression ◽  
Egg Quality ◽  
Model Fitting ◽  
Multiple Linear Regression Model ◽  
Specific Weight ◽  
Quality Parameters ◽  
Regression Equations ◽  
Mathematical Methods ◽  
Cage System ◽  
Daily Changes

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.

scholarly journals Quality of eggs in different production systems

2016 ◽  
Vol 34 (No. 4) ◽  
pp. 370-376 ◽  
Author(s):  
G. Yenice ◽  
O. Kaynar ◽  
M. Ileriturk ◽  
F. Hira ◽  
A. Hayirli
Keyword(s):  
Egg Quality ◽  
Production Systems ◽  
Protein Profile ◽  
Type System ◽  
Quality Parameters ◽  
Family Type ◽  
System Quality ◽  
Free Range ◽  
Cage System

This experiment was carried out to compare morphological egg quality parameters, as well as lipid and protein profiles, of brown eggs laid by chickens reared under different production systems: cage, free-range, and family type. A total of 270 brown eggs were obtained from commercial poultry companies raising Lohmann Brown laying hens in a cage system and free-range unit as well as families possessing hens in their yards. The egg lipid and protein contents, as well as lipid and protein profile, varied among the production systems. However, eggs from the free-range system had similar characteristics to those from the cage system. Quality of eggs from the family type system was quite variable. In conclusion, egg quality can be affected by the production system.

scholarly journals Performance and egg quality parameters of laying hens submitted to different rearing densities

2017 ◽  
Vol 38 (2) ◽  
pp. 831 ◽  
Author(s):  
Lidiane Silva Espírito Santo ◽  
Gerusa Silva Salles Correa ◽  
Flávio Medeiros Vieites ◽  
Alessandra Romani ◽  
João Marcos Novais Tavares ◽  
...  
Keyword(s):  
Growth Phase ◽  
Laying Hens ◽  
Polynomial Regression ◽  
Egg Quality ◽  
Test Body ◽  
Quality Parameters ◽  
Egg Mass ◽  
Daily Production ◽  
Randomized Design ◽  
Production Period

This study aimed to evaluate the effect of different rearing densities during brooding (0 to 2 weeks) and growth (3 to 15 weeks) on performance and egg quality of laying hens (Hy-line W-36) during production phase (18 to 42 weeks). In the brooding phase, a total of 3250 day-old chicks were allocated in wire cages, distributed in a completely randomized design composed of 5 treatments (63.57; 66.38; 69.44; 72.80 and 76.50 cm²/bird) with 10 replications each. At the beginning of the growth phase, floor space in each treatment was increased. Therefore, a total of 750 birds were selected from the original treatments, which represented 237.57, 265.52, 300.92, 347.22, and 410.35 cm²/bird. At the end of the growing phase, 390 pullets were transferred to production facilities and distributed, according to their original treatment, in conventional cages with 430.76 cm²/bird (13 birds/cage). For this phase, only 6 replications per treatment were adopted. Experimental data were subjected to analysis of variance and, in the case of significant differences, means were analyzed using polynomial regression test. Body weight, weight gain and uniformity were compared during the brooding and growth phases. First-egg weight, age at first egg, age at 50% daily production, weights of egg, albumen, yolk and shell, egg mass, yolk diameter, yolk height, yolk index, albumen height, percentages of shell, albumen and yolk, shell thickness, Haugh unit, and egg specific gravity were analyzed during the production stage. In conclusion, raising pullets on 63.57 cm2/bird (71 birds/cage) does not affect chicks’ performance during the brooding phase. However, for the growth phase, the recommendation is to provide 410.35 cm2/bird, which corresponded to 11 birds/cage in this research. For the production period, the recommendation is to utilize pullets raised on 265.52 cm2/bird, which corresponded to 17 birds/cage on this research.

PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Sample Size ◽  
Polynomial Regression ◽  
Data Sets ◽  
Regression Equations ◽  
Prediction Equations ◽  
Data Set ◽  
Rate Of Increase ◽  
The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

scholarly journals Influence of frying parameters and optimization of deep fat frying conditions on the physicochemical and textural properties of chicken nuggets from FUNAAB-Alpha broilers

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
O. R. Faloye ◽  
O. P. Sobukola ◽  
T. A. Shittu ◽  
H. A. Bakare
Keyword(s):  
Polynomial Regression ◽  
Textural Properties ◽  
Quality Attributes ◽  
Sample Thickness ◽  
Regression Equations ◽  
Deep Fat Frying ◽  
Chicken Nuggets ◽  
Frying Temperature ◽  
Frying Time ◽  
Standard Procedures

Abstract Influence of deep fat frying parameters on quality attributes of chicken nuggets from FUNAAB-Alpha broilers and optimization of the process using Box-Behnken experimental design of response surface methodology was investigated. Fried chicken nuggets were obtained using frying temperature (155–175 °C), frying time (3–7 min) and sample thickness (0.5–2.5 cm) as independent variables. Oil and moisture contents, texture (hardness, chewiness, adhesiveness, cohesiveness and springiness) and colour (L*, a* and b*) of samples were analyzed using standard procedures. Significance of each term in polynomial regression equations was evaluated on quality attributes. The accuracy of the regression models varied between 0.727 and 0.939. The effect of frying temperature on quality attributes of fried chicken nuggets was more significant (p > 0.05). The optimum frying temperature, frying time and sample thickness are determined as 175 °C, 3 min, 2.32 cm, respectively. Absolute percent error between optimized and experimental data were within the acceptable limit. Graphic abstract

scholarly journals Dual-Purpose Poultry in Organic Egg Production and Effects on Egg Quality Parameters

Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 897
Author(s):  
Marianne Hammershøj ◽  
Gitte Hald Kristiansen ◽  
Sanna Steenfeldt
Keyword(s):  
Egg Production ◽  
Egg Quality ◽  
Quality Parameters ◽  
Egg Laying ◽  
High Yield ◽  
Meat Production ◽  
Dual Purpose ◽  
Shell Quality ◽  
Egg Shell ◽  
Genotype A

Egg laying genotypes have been selected for generations due to their high yield and egg quality, resulting in efficient feed utilization and low body weight; hence, they are not suitable for meat production. This imposes an issue for the male layer chicks, which are killed at one day old. Because of ethical and food waste concerns, the search for suitable dual-purpose genotypes in order to avoid euthanasia of male day-old chicks has intensified. The aim of the present study is to evaluate potential dual-purpose genotypes for their egg quality compared to a representative egg laying genotype. Three dual-purpose genotypes with divergent characteristics were evaluated: genotype A represented an experimental crossbreed based on a broiler type male and an egg layer female, genotype B was a pure breed, and genotype C was a crossbreed of a layer type. These were compared to a control genotype D, which was an egg layer. Eggs were collected six times during the period of 21–54 weeks of hen age, i.e., a total of 1080 shell eggs were analyzed. Examined parameters were weights of egg, shell, yolk, and albumen, by calculating their relative proportions. Shell quality was assessed by shell strength, shell stiffness, and shell thickness. Yolk quality was determined as yolk color and inclusions of blood and meat spots, and albumen quality was evaluated in terms of pH and dry matter (DM) content. The egg layer genotype produced the smallest eggs with least blood and meat spot inclusions compared to that produced by the three dual-purpose genotypes. Shell quality was superior for the layer genotype. However, the experimental genotype A laid eggs of comparable shell quality, albumen DM, and yolk weight, but also with the darkest and most red-yellow colored yolk. The two other dual-purpose genotypes produced eggs of low-medium quality. In conclusion, the genotype A could serve as dual-purpose genotype from an egg quality perspective.

scholarly journals Estimates of Egg Quality Parameters Utilizing a Polyallel Crossing System

1961 ◽  
Vol 40 (6) ◽  
pp. 1662-1675 ◽  
Author(s):  
C.E. Redman ◽  
R.N. Shoffner
Keyword(s):  
Egg Quality ◽  
Quality Parameters

scholarly journals Fish by-product meal in diets for commercial laying hens

2017 ◽  
Vol 39 (3) ◽  
pp. 273
Author(s):  
André Ferreira Silva ◽  
Frank George Guimarães Cruz ◽  
João Paulo Ferreira Rufino ◽  
Waldo Mateus Plácido Miller ◽  
Nathália Siqueira Flor ◽  
...  
Keyword(s):  
Production Cost ◽  
Egg Production ◽  
Laying Hens ◽  
Polynomial Regression ◽  
Egg Quality ◽  
Feed Conversion ◽  
Egg Weight ◽  
Feed Cost ◽  
Randomized Design ◽  
Completely Randomized Design

 This study aimed to evaluate the increasing levels (0, 1, 2, 3 e 4%) of fish by-product meal in diets for laying hens on performance, egg quality and economic analysis. A total of 160 Dekalb White hens with 52-wk old were distributed in a completely randomized design with five treatments and four replicates of eight birds each. The experiment lasted 84 days divided into four periods of 21 days. Estimates of fish by-product meal levels were determined by polynomial regression. Differences (p < 0.05) were detected for all variables of performance, in egg weight, yolk and albumen percentage, yolk and albumen height, feed cost and production cost, in which the inclusion of fish by-product meal in the diets showed better results. It can be concluded that fish by-product meal can be used in diets for hens as alternative feed, with better results in egg production, feed conversion, egg weight, yolk-albumen ratio and a reduction in feed cost and production cost. 

scholarly journals Optimization of tablet formulation containing ginger dry extract

2020 ◽  
Vol 33 (2) ◽  
pp. 90-93
Author(s):  
Walid A.A. Malek ◽  
Olena Anatoliivna Ruban ◽  
Olga V. Kutova ◽  
Nataliia A. Herbina
Keyword(s):  
Tablet Formulation ◽  
Regression Equations ◽  
Diabetes Treatment ◽  
Optimal Composition ◽  
European Pharmacopoeia ◽  
Technological Parameters ◽  
Mathematical Methods ◽  
Dry Extract ◽  
Technical Parameters ◽  
Effective Drugs

AbstractIntroduction. Diabetes mellitus is one of the world’s most common diseases, therefore the development and introduction of new effective drugs for diabetes treatment into clinical practice is an important task for the health systems of many countries of the world.Aim. The aim of our work was to determine and substantiate the quantitative ratio of excipients for the development of the optimal composition of directly compressible ginger dry extract tablets.Materials and methods. To choose the optimal composition of tablets containing ginger dry extract, the effect of various quantitative ratios of the excipients Kollidon K30 and Neusilin UFL 2 on tablet mass pharmaceutical technical parameters, determined by established methods, was studied. For processing the experimental data, mathematical methods were used: design of experiment, regression analysis and a technique based on the theory of vector optimization.Results. The interrelation between factors that were studied and technological parameters of tablet mass and compressed tablets were analyzed using regression equations.Conclusions. The studies conducted allowed to chose the optimal composition of ginger dry extract tablets: ginger dry extract – 60%, Galen IQ 721 – 34.5%, Kollidon K30 – 3.5%, Neusilin UFL 2 – 1%, calcium stearate – 1%. The chosen tablet formulation is characterized by pharmaceutical technical parameters meeting the requirements of the European Pharmacopoeia and the State Pharmacopoeia of Ukraine.

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