scholarly journals Analysis of quality and prediction of external and internal egg traits in Mexican native turkey hens

2020 ◽  
pp. 647
Author(s):  
Rodrigo Portillo- Salgado ◽  
Benigno Ruiz- Sesma ◽  
Paula Mendoza- Nazar ◽  
José Guadalupe Herrera- Haro ◽  
Jaime Bautista- Ortega ◽  
...  
Keyword(s):  
Linear Regression ◽  
Surface Area ◽  
Egg Quality ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Internal Quality ◽  
Unit Surface Area ◽  
Regression Equations ◽  
Quality Traits ◽  
Shell Weight

This study aimed to evaluate external and internal quality traits and determine prediction equations for some of these traits in eggs of Mexican native turkey hens. A total of 72 eggs from native turkey hens in the laying stage raised in rural municipality of Villaflores, Chiapas were measured. The external traits evaluated were: egg weight (EW), polar diameter (PD), equatorial diameter (ED), egg shape index (SI), shell weight (SW), shell percentage (SP), egg surface area (ESA) and shell weight per unit surface area (SSA). The internal traits were: albumen height (AH), yolk height (YH), albumen weight (AW), yolk weight (YW), Haugh units (HU), albumen percentage (AP), yolk percentage (YP) and yolk color (YC). The data were analyzed with descriptive statistics and Pearson correlation coefficients (r) and linear regression using the SAS program, ver. 9.4. The values obtained for the external egg quality traits showed greater variability. Pearson's correlation coefficients between external and internal traits were positive and moderately significant (P <0.05), as well as highly significant (P <0.0001), and ranged from r = 0.31 (EW vs PD) to r = 0.99 (ED vs ESA). All linear regression equations to predict EW, SW, AW and YW were found to be significant (<.0001). The best predictors of EW were PD, SI, SW and ESA (R2 = 76%). SW and YW traits can be adequately predicted using the EW and SI values together (R2 = 59% and R2 = 74%, respectively), while the AW can be predicted from the EW (R2 = 33%). Based on the results obtained, it is suggested to implement selection programs to improve the quality parameters of the native turkey hen egg in Mexico.

Appraisal of the York Electronics egg quality testing equipment when used by several operators

1988 ◽  
Vol 1988 ◽  
pp. 78-78
Author(s):  
S. Hoste ◽  
T. Bedford ◽  
H. Walker ◽  
E. A. Butler
Keyword(s):  
Surface Area ◽  
Egg Quality ◽  
Testing Equipment ◽  
Unit Surface Area ◽  
Shell Weight ◽  
Egg Weight ◽  
Coefficients Of Variation ◽  
Quality Testing ◽  
Unit Surface ◽  
Sequential Measurements

This equipment records egg weight (g) shell colour (% reflectance) shell weight (g) and thick albumen height (measured on an egg broken out onto a flat plane), and through the connection with a dedicated microprocessor derives the Haugh units (a logarithmically transformed measure of albumen height) and shell weight per unit surface area (mg/cm2). Means, standard deviations and coefficients of variation for a batch are transferred to a printer and/or microprocessor.Experiment 1Three operators each made three sequential measurements of egg weight and shell colour on 31 eggs, each record being automatically captured by the microprocessor.Experiment 2Using the same procedure four operators made two sequential measurements of egg weight, shell colour and albumen height on 30 eggs.

scholarly journals Harmony concept of craniofacial morphology among young Serbian population on Kosovo and Metohia

2021 ◽  
pp. 45-45
Author(s):  
Aleksandrija Djordjevic ◽  
Jasna Pavlovic ◽  
Vladanka Vukicevic ◽  
Amila Vujacic ◽  
Sanja Simic ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Linear Regression ◽  
Standard Error ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Craniofacial Morphology ◽  
Regression Equations ◽  
Aim Analysis ◽  
Individual Values ◽  
The Individual

Background/Aim. Analysis of cephalometric value of profile radiographs are very important for orthodontic diagnosis and planning of therapy. These values differ morphologically in dependence of ethic and racial affiliation. Aim of this study was to confirm variations of cephalometric norms and extent of their value, and according to them confirm the harmony concept of craniofacial morphology among young Serbian population on Kosovo and Metohia. Methods. This retrospective study comprised 183 profile radiograms from Kosovo and Metohia, aged 8-33, from which Class I was ascertained among 82 patients (53 female and 29 male). Five cephalometric angles were measured and analysed. Pearson correlation coefficients was used to define the strength of correlation between the five variables. Bivariable linear regression was used to form harmonious combinations of individual values in insight of craniofacial harmonious form. Multiple regression and standard error were used to form harmonious schema. Results. Linear regression equations were used to define cephalometric floating norms. They have helped us form a harmonious box and harmonious schema of craniofacial norms of the participants. Extent of harmonious value for orthognathic profile varies for SNA 78? - 81?, SNB 75.1? - 78.1?, NL-NSL 11.5? - 5.5?, NSBa 134.7? - 125.8? and ML-NSL 40.5? - 30.6?. Conclusion. Cephalometric floating norms that describe the individual craniofacial pattern among young Serbian population on Kosovo and Metohia, determined and defined of five cephalometric variables, are presented in the form of harmonious box and harmonious schema and can accurately determine the craniofacial pattern.

scholarly journals Egg quality traits of indigenous, exotic and crossbred chickens (Gallus domesticus L.) in Rajshahi, Bangladesh

1970 ◽  
Vol 5 ◽  
pp. 63-67 ◽  
Author(s):  
M Saiful Islam ◽  
Ripon Kumar Dutta
Keyword(s):  
Egg Quality ◽  
Shape Index ◽  
Internal Quality ◽  
Phenotypic Correlation ◽  
Quality Traits ◽  
Shell Weight ◽  
Albumin Ratio ◽  
Genetic Groups ◽  
Hen’S Egg ◽  
Chicken Breeds

This study was aimed at investigating the external and internal egg quality traits along with their correlation values of an indigenous (Deshi), three exotics (Cobb 500 of Broiler, Fayoumi, and RIR) and a crossbred (Sonali derived from RIR?× Fayoumi?) chicken breeds available in Rajshahi. From a total of 50 eggs (5 breeds × 10 replicates each), the external quality traits such as gross egg weight (EW), egg length (L), egg width (W), egg volume (EV), shell weight (SW), shell ratio (SR) and egg shape index (ESI), and the internal quality traits like yolk weight (YW), albumen weight (AW), yolk ratio (YR) and albumin ratio (AR) were determined. Results showed that highly significant differences exist for both external and internal egg quality traits between the genetic groups of chicken (P<0.001). Even though RIR showed the highest EW and EV and Fayoumi had the lowest for both traits, AR was in the sequence of Cobb 500 > RIR> Indigenous> Fayoumi> Sonali. Phenotypic correlations among the egg quality traits revealed that EV was not significantly correlated with EW except for Sonali (P<0.001). The association between EW and ESI was negative in all the chickens except Sonali. However, EW was significantly correlated with the AW in RIR (P<0.001), Cobb 500 (P<0.01) and Sonali (P<0.01). Moreover, the EW was significantly correlated with YW only in Fayoumi and RIR (P<0.05). In view of the cholesterol, fat and antioxidant contents of the hen’s egg, a higher AR is healthier than a higher YR. The present findings therefore suggest that Cobb 500, RIR and Indigenous eggs are healthier than Fayoumi and Sonali eggs that contain higher YR. Key words: Egg quality traits; phenotypic correlation; Indigenous; exotic and crossbred chickens DOI: 10.3329/jles.v5i0.7352 J. Life Earth Sci., Vol. 5: 63-67, 2010

scholarly journals Phenotypic relations between egg weight and other egg quality traits of South Eastern Nigeria local chicken

2021 ◽  
Vol 38 (2) ◽  
pp. 3-8
Author(s):  
A. I. Adeolu ◽  
V. U. Oleforuh-Okoleh,
Keyword(s):  
Negative Correlation ◽  
Egg Quality ◽  
Egg Laying ◽  
Internal Quality ◽  
Quality Traits ◽  
Shell Weight ◽  
Southeastern Nigeria ◽  
Egg Weight ◽  
Mean Values ◽  
Local Chicken

The experiment was carried out with a total of one hundred and fifty eggs, which were collected from a local chicken variety of southeastern Nigeria hens reared in a cage system. The objective of this study was to determine the phenotypic relationship between egg weight and the other egg quality traits. The mean values related to the external egg quality traits - egg weight (EW), egg length (EL), egg breadth (EB), egg shape index (EST), shell weight (SW) and shell thickness (ST) were 38.99 g, 49.98 mm, 36.66 mm, 0.73, 4.05 g and 0.34 mm respectively. The internal egg quality traits – albumen height (AH), albumen weight (AW), yolk height (YH), yolk weight (YW) and Haugh unit (HU) have the following mean values, 7.53 mm, 19.86 g, 16.80 mm, 12.62 g and 65.21 respectively. There were significant (P<0.01) positive phenotypic correlations between EW and EL, EW and EB, EW and SW, and between EW and all the internal quality traits except HU - which had a non significant (P>0.01) negative correlation. Significant negative correlation was found between EW and ESI. It was concluded that it was feasible to assess some egg quality traits through the egg weight. This is important in view of integrating the local chicken into egg laying breeding programs in Nigeria.  

scholarly journals Estimating leaf area of prata-type banana plants with lanceolate type leaves

2020 ◽  
Vol 42 (4) ◽  
Author(s):  
Lucas Titonelli Ferreira Donato ◽  
Sérgio Luiz Rodrigues Donato ◽  
Cleiton Fernando Barbosa Brito ◽  
Varley Andrade Fonseca ◽  
Carlos Nick Gomes ◽  
...  
Keyword(s):  
Linear Regression ◽  
Leaf Area ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Regression Equations ◽  
Significance Level ◽  
Backward Elimination ◽  
Leaf Dimensions ◽  
Highly Correlated ◽  
The Relationship

Abstract Models for estimating leaf area of bananas found in the literature are not suitable for lanceolate type leaves occurring at the vegetative stage of ratoon suckers dependent of mother plant. The objective was to determine equations for estimating the leaf area of ‘Prata-Anã’ and ‘BRS Platina’ banana plants with lanceolate type leaves. 212 and 164 lanceolate type leaves having 10 cm-wide lamina or less were collected from ‘Prata-Anã’ and ‘BRS Platina’ banana plants of 90 days of age or less, respectively. Width (W), length (L), width/length ratio (WLR), and scanner-measured leaf area (LAscanner) were determined. Using the backward elimination procedure, simple and multiple linear regression equations were fitted to the relationship between leaf dimensions (W, L and WLR) and LAscanner. To evaluate how precise the equations are in predicting leaf area (LApredicted), Pearson correlation coefficients were calculated between LA and LApredictedscanner. The models highly correlated with LAscanner at 1% of significance level. The models are and LALL() = Prata-Anã = - 0,0133624 + 0,000489859**L - 0,00183182 **W and LALL(Platina) 0,00237026 + 0,004781**W - 0,096802** WLR.

Comparative Egg Production, Quality and Hatchability in Three Chicken Genotypes under Humid Tropical Conditions

2021 ◽  
Vol 19 (1) ◽  
pp. 38-52
Author(s):  
O.P Omoyara ◽  
M.O Abioja ◽  
O.S Iyasere ◽  
L.T Egbeyale
Keyword(s):  
Egg Production ◽  
Egg Quality ◽  
Shape Index ◽  
Production Quality ◽  
Internal Quality ◽  
Shell Weight ◽  
Naked Neck ◽  
Weight Percentage ◽  
Tropical Conditions ◽  
Length Width

Comparative study on egg production and hatchability characteristics in Nigerian local (NL; n=24), FUNAAB-α (F-α; n=24) and Transylvanian naked neck (TNN; n=24) chickens aged 25 weeks old was carried out for 4 weeks. Three hundred and sixty hatchable eggs each were used for quality characteristics determination and for incubation. F-α had significantly (P<0.001) higher egg production (90.3%) than TNN (76.9%) while TNN was higher than NL (58.3%). Egg weight (EWT), length, width and surface area, albumen height, weight, percentage and index, shell weight, color and internal quality unit (IQU) were significantly (P<0.001) affected by genotype. These followed the pattern: NL<F-α<TNN. F-α and TNN had significantly (P<0.001) higher values than NL in egg shape index, yolk weight, height and diameter. Yolk colour index was significantly (P<0.01) higher in TNN than in F-α. Yolk percentage and yolk-albumen ratio followed the pattern: NL>F-α>TNN. NL had (P<0.001) thicker and higher shell percentage (SP) than F-α and TNN. Higher Haugh unit (HU) was recorded in TNN than in NL and F-α. Fertility was significantly (P<0.05) higher in F-α than in TNN. Hatchability was not (P>0.05) affected by genotype. Chick weight and chick: egg ratio were significantly (P<0.001) by genotype. TNN had higher chick weight and yield than F-α and NL chicks. In conclusion, F-α laid more eggs than others, exhibited higher fertility with longer chicks at hatch. TNN is superior in EWT, HU, IQU and chick yield. NL had higher SP than others. Keywords: Egg production, Egg quality, FUNAAB alpha chicken, Hatchability, Transylvanian naked neck chicken.

scholarly journals TMP-SSurface: A Deep Learning-Based Predictor for Surface Accessibility of Transmembrane Protein Residues

Crystals ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 640 ◽  
Author(s):  
Chang Lu ◽  
Zhe Liu ◽  
Bowen Kan ◽  
Yingli Gong ◽  
Zhiqiang Ma ◽  
...  
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Surface Area ◽  
Transmembrane Protein ◽  
Pearson Correlation ◽  
Transmembrane Proteins ◽  
Correlation Coefficients ◽  
Accessible Surface Area ◽  
Interaction Sites ◽  
Accessible Surface

Transmembrane proteins (TMPs) play vital and diverse roles in many biological processes, such as molecular transportation and immune response. Like other proteins, many major interactions with other molecules happen in TMPs’ surface area, which is important for function annotation and drug discovery. Under the condition that the structure of TMP is hard to derive from experiment and prediction, it is a practical way to predict the TMP residues’ surface area, measured by the relative accessible surface area (rASA), based on computational methods. In this study, we presented a novel deep learning-based predictor TMP-SSurface for both alpha-helical and beta-barrel transmembrane proteins (α-TMP and β-TMP), where convolutional neural network (CNN), inception blocks, and CapsuleNet were combined to construct a network framework, simply accepting one-hot code and position-specific score matrix (PSSM) of protein fragment as inputs. TMP-SSurface was tested against an independent dataset achieving appreciable performance with 0.584 Pearson correlation coefficients (CC) value. As the first TMP’s rASA predictor utilizing the deep neural network, our method provided a referenceable sample for the community, as well as a practical step to discover the interaction sites of TMPs based on their sequence.

scholarly journals Non-Parametrical Canonical Analysis of Quality-Related Characteristics of Eggs of Different Varieties of Native Hens Compared to Laying Lineage

Animals ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. 153 ◽  
Author(s):  
Antonio González Ariza ◽  
Francisco Navas González ◽  
Ander Arando Arbulu ◽  
José León Jurado ◽  
Cecilio Barba Capote ◽  
...  
Keyword(s):  
Egg Quality ◽  
Age Groups ◽  
Individual Identification ◽  
Internal Quality ◽  
Control Group ◽  
External Quality ◽  
Shell Weight ◽  
Almost All ◽  
Different Levels

The aim of the present study is to characterize the productive capability of Utrerana and to compare the relationships among parameters determining the internal and external quality of the egg, through canonical correlation analysis. A flock of 68 Utrerana hens and a control group of Leghorn hens (n = 17) were housed individually to allow individual identification of eggs and for the assessment of egg quality characteristics. Almost all variables showed differences when both breeds were compared, except for white height, yolk diameter, yolkL* and yolk pH (p > 0.05). Only minor diameter, white height, yolkL*, yolka*, and shell weight reported significant differences between laying age groups. White height, yolk color, and almost all yolk color coordinates were significantly different (p < 0.05) for period and month. Egg and white weight reached highest significantly different levels for the fourth and fifth time that the hens laid an egg. External quality-related traits are better predictors of internal quality-related traits than vice versa, enabling the implementation of an effective noninvasive method for internal quality determination and egg classification aimed at suiting the needs of consumers.

scholarly journals Cephalometric Floating Norms as a Guide toward a Harmonious Individual Craniofacial Pattern among Filipinos

2009 ◽  
Vol 79 (6) ◽  
pp. 1162-1168 ◽  
Author(s):  
Marian Almyra Sevilla-Naranjilla ◽  
Ingrid Rudzki-Janson
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Standard Error ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Correlated Variables ◽  
The Individual

Abstract Objective: To construct a harmony box based on correlated cephalometric variables, which may serve as a valuable diagnostic tool in orthodontic treatment planning, by analyzing the harmonious relationships of existing individual craniofacial patterns among Filipinos. Materials and Methods: Eighty-one subjects, 37 females and 44 males, were selected from the student population of a University according to established inclusion criteria. Five cephalometric angular measurements were obtained and digitized. Pearson correlation coefficients described the high association among the five variables. The bivariate linear regression analysis was used to construct a harmony box, which contained the cephalometric floating norms of the five correlated variables. Multiple regression analysis and the standard error of the estimate were calculated to construct the harmony schema, which describes the individual craniofacial pattern. Results: Correlations between the five variables were significant at .001 and .05 levels. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were illustrated as the harmony box. The multiple correlation coefficient R, the adjusted R2, and the SE when one of the five measured variables was predicted from the remaining four by means of a multiple regression analysis were displayed as the harmony schema. Conclusion: The cephalometric floating norms describing the individual craniofacial pattern among Filipinos were established based on five correlated variables in the form of a harmony box.

scholarly journals Regression models for estimating chick hatchling weight from some egg geometry traits

2018 ◽  
Vol 34 (3) ◽  
pp. 323-334
Author(s):  
Nadya Mincheva ◽  
Mitko Lalev ◽  
Magdalena Oblakova ◽  
Pavlina Hristakieva
Keyword(s):  
Linear Regression ◽  
Surface Area ◽  
Regression Models ◽  
Linear Models ◽  
Geometric Mean ◽  
Coefficient Of Determination ◽  
Regression Equations ◽  
Linear Regression Models ◽  
Egg Weight ◽  
Mean Diameter

The prediction of chicks? weight before hatching is an important element of selection, aimed at improving the uniformity rate and productivity of birds. With this regards, our goal was to develop and evaluate optimum models for similar prediction in two White Plymouth Rock chickens lines - line L and line K on the basis of the incubation egg weight and egg geometry characteristics - egg maximum breadth (B), egg length (L), geometric mean diameter (Dg), egg volume (V), egg surface area (S). A total of 280 eggs (140 from each line) laid by 40-weekold hens were randomly selected. Mean arithmetic values, standard deviations and coefficients of variation of studied parameters were determined for each line. Correlation coefficients between the weight of hatchlings and predictors were the highest for egg weight, geometric mean diameter, volume and surface area of eggs (r=0.731-0.779 for line L; r=0.802-0.819 for line ?). Nine linear regression models were developed and their accuracy evaluated. The regression equations of hatchlings? weight vs egg length had the lowest coefficient of determination (0.175 for line K and 0.291 for line L), but when egg length and breadth entered the model together, its value increased significantly up to 0.541 and 0.665 for lines L and K, respectively. The weight of day-old chicks from line L could be predicted with higher accuracy with a model involving egg surface area apart egg weight (ChW=0.513EW+0.282S - 10.345; R2=0.620). In line ? a more accurate prognosis was attained by adding egg breadth as an additional predictor to the weight in the model (ChW=0.587EW+0.566? - 19.853; R2=0.692). The study demonstrated that multiple linear regression models were more precise that single linear models.

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