The Effect of Dietary Manipulations of Energy, Protein, and Fat During the Growing and Laying Periods on Early Egg Weight and Egg Components

A model that can estimate the changes that occur to the composition of egg components over time is an important tool for the nutritionists, since it can provide information about the nutrients required by a laying hen to achieve her potential egg output. In this context, the present study was aimed to model the potential egg production of laying hens during the egg-production period. One hundred and twenty Hy-Line W36 and ISA-Brown layers were used from 18 to 60 weeks of age, with each bird being an experimental unit. The birds were housed in individual cages during the experimental period. Egg production (%), egg weight (g) and the weight of egg components were recorded for each bird. The data were used to calculate the parameters of equations for predicting the weights of yolk, albumen and shell, and for predicting internal cycle length. The predicted results were evaluated by regressing residual (observed minus predicted) values of the predicted values centred of their average value. The equations for predicting mean yolk weight with age are for Hy-Line W36 (y1) and ISA-Brown (y2) respectively. Albumen and shell weights for Hy-Line W36 were described by the equations 15.07 × (yolk weight)0.37 and 0.70 × (yolk + albumen weight)0.50 respectively, and for ISA-Brown, 21.99 × (yolk weight)0.24 and 1.60 × (yolk + albumen weight)0.34 respectively. The average internal cycle length over time for Hy-Line W36 (ICL1) is described by the model 22.95 + 5.24 × (0.962t) + 0.02 × t and for ISA-Brown by 24.01 + 10.29 × (0.94t) + 0.004 × t, where t is the age at first egg (days). The assessment of the results indicated that the equations for predicting egg weight were more accurate for Hy-Line W36 but less precise for both strains, whereas the equation models for predicting the internal cycle lengths were more accurate and precise for ISA-Browns. The models could predict the potential weight of egg components and the rate of laying associated with the internal cycle lengths, and, on the basis of this information, it is possible to improve the nutrient requirement estimated.

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Dealing with Multicollinearity in Predicting Egg Components from Egg Weight and Egg Dimension

Italian Journal of Animal Science ◽

10.4081/ijas.2014.3408 ◽

2014 ◽

Vol 13 (4) ◽

pp. 3408 ◽

Cited By ~ 3

Author(s):

Tarek M. Shafey ◽

Ahmed H. Mahmoud ◽

Mohamed A. Abouheif

Keyword(s):

Egg Weight ◽

Egg Components

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Differences in oviposition and egg quality of various genotypes of laying hens

Czech Journal of Animal Science ◽

10.17221/22/2017-cjas ◽

2017 ◽

Vol 62 (No. 9) ◽

pp. 377-383 ◽

Cited By ~ 1

Author(s):

E. Tůmová ◽

J. Vlčková ◽

D. Chodová

Keyword(s):

Egg Production ◽

Laying Hens ◽

Egg Quality ◽

Laying Hen ◽

Sequence Length ◽

Production Traits ◽

Egg Weight ◽

Egg Shell ◽

Egg Components

The differences in egg production traits in six laying hen genotypes (brown-egg hens Bovans Brown, Bovans Sperwer, ISA Sussex; white-egg hen Dekalb White; laying hens with tinted shells Moravia Barred and Moravia BSL) and the interactions of genotype and oviposition on egg quality were evaluated. The genotype affected the laying rate (P ≤ 0.003), mean sequence length (P ≤ 0.001), and time of oviposition (P ≤ 0.001). The brown-egg genotypes laid eggs approximately 1 h earlier than the white-egg genotypes and approximately 2 h earlier than the tinted-egg genotypes. Egg shell strength was the lowest in tinted-egg genotypes (P ≤ 0.001) and declined with the time of oviposition (P ≤ 0.002). Egg shell percentage (P ≤ 0.011) and thickness (P ≤ 0.011) were affected by the interaction of genotype and oviposition. None of the effects affected egg weight; however, the proportion of egg components was significantly influenced by the interaction of genotype and oviposition. The study confirmed that the differences in the egg production and egg quality of various genotypes are associated with the laying pattern.

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Comparison of Basic Internal and External Egg Quality Traits of Brown and White Egg-laying Hens in Relationship to their Age

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis ◽

10.11118/actaun202068010049 ◽

2020 ◽

Vol 68 (1) ◽

pp. 49-56

Author(s):

Adam Kraus ◽

Lukáš Zita ◽

Ondřej Krunt ◽

Zdeněk Volek ◽

Milan Tyller ◽

...

Keyword(s):

Egg Quality ◽

Shape Index ◽

Egg Laying ◽

Quality Traits ◽

Egg Weight ◽

Technological Value ◽

Basic Quality ◽

Positive Correlations ◽

Egg Components ◽

The Impact

This study was focused on the comparison of the brown and white eggs from two laying hybrids. The objective was to assess basic quality traits of eggs from both groups of hens and compare them. The impact of how age influences the technological value of eggs was also observed. The most important correlations were calculated. Products of Czech original genetic programmes, Dominant Brown D 102 and Dominant Leghorn D 229 hens were included. A total of 1500 eggs were analysed. The egg collection was made for three consecutive days when the hens were at the 28, 35 and 59 weeks of age. The results showed that eggshell weight, yolk weight and yolk share increased with the age, while egg shape index, yolk index and albumen share decreased in both hybrids. Eggshell weight and share fluctuated with the age in both hybrids. Other traits differed within the hybrids. Interactions between age and hybrid were non-significant (P > 0.05) only in eggshell and yolk weight. The heaviest eggs were from 59-week-old Dominant Brown D 102 hens (68.89 g) and the lightest eggs were from 28-week-old Dominant Leghorn D 229 hens (57.76 g). Highly significant (P ≤ 0.001) positive correlations were found between egg weight and all individual egg components weights and between eggshell weight and yolk and albumen weight and eggshell thickness in both laying hybrids.

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Egg Weights, Egg Component Weights, and Laying Gaps in Great Tits (Parus Major) in Relation to Ambient Temperature

The Auk ◽

10.1093/auk/119.4.1091 ◽

2002 ◽

Vol 119 (4) ◽

pp. 1091-1103

Author(s):

C. M. Lessells ◽

N. J. Dingemanse ◽

C. Both

Keyword(s):

Ambient Temperature ◽

Parus Major ◽

Laying Date ◽

Shell Weight ◽

Egg Weight ◽

Laying Sequence ◽

Weight Decrease ◽

Egg Components ◽

Relationship Of ◽

Whole Egg

Abstract We collected 328 freshly laid Great Tit (Parus major) eggs from 38 clutches in 1999 to determine the relationship of whole egg weight, wet yolk weight, wet albumen weight, dry shell weight, and the occurrence of laying gaps with mean ambient temperature in the three days preceding laying, while controlling for laying date and position in the laying sequence. We also reanalyzed existing data on whole egg weight in 1978 and 1979 in relation to temperature, controlling for the same other variables. Egg weight was correlated with temperature in 1978 and 1979, but not in 1999. None of the egg components was related to temperature preceding laying, apart from a nonsignificant tendency for albumen weights to be lower at higher temperature. Egg weight increased with laying date in 1978 and 1979 after controlling for other variables. In 1999, albumen and shell weight increased seasonally, but shell weight only did so to the extent expected on the basis of the seasonal increase in whole egg weight. Yolk weight did not increase significantly seasonally, but neither did yolk weight relative to whole egg weight decrease significantly. Whole egg weight and the weights of all components varied between clutches. Most weights also varied through the laying sequence. The probability of a laying gap occurring varied between clutches, and increased with position in the laying sequence and decreased with temperature and laying date. Eggs preceding laying gaps were lighter and contained less albumen but had higher shell weights than other eggs. Eggs following laying gaps also had heavier shells relative to the size of the egg than other eggs.

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The effect of lysine and maize oil in growing and laying diets on the laying performance of crossbred pullets

Australian Journal of Agricultural Research ◽

10.1071/ar9870611 ◽

1987 ◽

Vol 38 (3) ◽

pp. 611 ◽

Cited By ~ 1

Author(s):

H Karunajeewa ◽

SH Tham

Keyword(s):

Growth Performance ◽

Egg Yolk ◽

White Leghorn ◽

Feed Conversion ◽

Egg Weight ◽

Laying Performance ◽

Arachidonic Acids ◽

Egg Components ◽

Dietary Treatments ◽

Maize Oil

In a 3 x 3 x 3 factorial experiment, the laying performance of White Leghorn x Australorp pullets, given growing diets (8-20 weeks of age) with the factorial combinations of three levels (4.5, 5.0 and 5.5 g/kg) of lysine and three levels (0, 10 and 20 g/kg) of maize oil and laying diets with 0, 10 and 20 g/kg and 0, 15 and 25 g/kg maize oil from 20 to 52 and 52 to 60 weeks of age, respectively, was measured.In the growing phase, neither the lysine nor maize oil levels in the diet had a significant effect on growth performance. The level of lysine in the growing diet had no effect on subsequent laying performance. There were significant interactions between the levels of maize oil in the growing and laying diets on rate of lay, egg output and feed conversion efficiency. The inclusion of 20g/kg maize oil in the laying diet increased egg weight. None of the dietary treatments had a significant effect on the weights of egg components (yolk, albumen and shell).With increasing level of maize oil in the laying diet, the concentration of myristic, palmitoleic, oleic and linolenic acids in the egg yolk decreased and that of stearic, linoleic and arachidonic acids increased.

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Prediction of Japanese quail egg weight using egg components as regressors

Nigerian Journal of Animal Production ◽

10.51791/njap.v46i5.263 ◽

2020 ◽

Vol 46 (5) ◽

pp. 34-39

Author(s):

I. O. Dudusola ◽

E. A. Adeyemi ◽

S. I. Ayodele

Keyword(s):

Linear Regression ◽

Shell Thickness ◽

Prediction Equation ◽

Descriptive Statistics ◽

Regression Equations ◽

Simple Linear Regression ◽

Egg Weight ◽

Japanese Quails ◽

Egg Components ◽

Haugh Unit

This study was conducted on one hundred freshly laid eggs from Japanese quails with the purpose of predicting quail egg weight (EW) from some internal and external egg components, and also to have accurate and reliable models, for the prediction of egg weight without the use of sensitive scale. The following external (egg weight, egg width, egg length, shell thickness) and internal (yolk width, yolk length, albumen height and haugh unit) components were measured and the level of relationships between them were determined. Descriptive statistics for egg weight, egg length, egg width, albumen height, yolk height, yolk width, shell thickness and haugh unit were 9.13g, 2.97cm, 2.33cm, 0.57cm, 1.14cm, 2.18cm, 0.13mm and 57.58, respectively. Intercept and slope of regression between variables were determined. Generated values were used in multiple, double and simple linear regression equations, respectively. A total of ten prediction equations comprising three multiple, six double and nine simple linear resulted from the data generated. All the equations developed can be used in egg type quail operations. Each prediction equation with egg weight as the dependent variable will assist poultry breeders and farmers in particular in determining the precise egg weight of eggs laid by birds on the farm.

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