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

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...

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Bibliographic Details
Published in:Emirates journal of food and agriculture 2020-09, Vol.32 (9), p.647-652
Main Authors: Salgado, Rodrigo Portillo, Sesma, Benigno Ruiz, Nazar, Paula Mendoza, Haro, José Guadalupe Herrera, Ortega, Jaime Bautista, Vázquez, Francisco Antonio Cigarroa
Format: Article
Language:English
Subjects:
Albumen
Birds
Correlation coefficient
Correlation coefficients
Diameters
Eggs
Evaluation
Mathematical analysis
Poultry
Regression analysis
Rural areas
Statistical analysis
Surface area
Weight
Wildfowl
Yolk
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Summary: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
ISSN:2079-052X
2079-0538
DOI:10.9755/ejfa.2020.v32.i9.2143