Genetic Analyses of Generation Means for a Cross Between Two Local Breeds of Chickens: 4- A Model for Hatchability Prediction as a Function of Some Egg Quality Trait

Authors

  • Dr. Abou El-Ghar

multiple linear regressions, physical characteristics of eggs, hatchability., hatchability

Abstract

This study was undertaken to predict hatchability as a function of some physical characteristics of eggs in the third generation (F 3 ) and backcrosses (BC 1 and BC 2 ) derived from crossing between two local developed strains of chickens (Gimmizah and Bandarah). The physical parameters used in this study were egg weight, egg shell thickness, egg shape index and yolk/albumin ratio as well as obtained hatchability. The relationships of these parameters in hatchability process were modeled by multiple linear regressions. The performances of the three genetic groups (F 3 , BC 1 and BC 2 ) were used to apply the modeling process. The following model output: Y = 241.6 + 1.126 x 1 + 213.5 x 2 + 79.54 x 3 + 28.03 x 4 , where Y presents the predicted hatchability, 241.6 presents the intercept parameter (α) and the 1.126, 213.5, 79.54 and 28.03 are the slope parameters (βi) of egg weight (x 1 ), shell thickness (x 2 ), egg shape index % (x 3 ) and yolk/albumin ratio (x 4 ), respectively. Furthermore, the mention approach above confirms the existence of a highly significant relationship between the main regression parameters and predicted hatchability.

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How to Cite

Genetic Analyses of Generation Means for a Cross Between Two Local Breeds of Chickens: 4- A Model for Hatchability Prediction as a Function of Some Egg Quality Trait. (2013). Global Journal of Science Frontier Research, 13(24), 1-5. https://journalofscience.org/index.php/GJSFR/article/view/103182

Author Biography

Dr. Abou El-Ghar

Dr. Reda Abou El-Ghar is a dedicated researcher in the field of poultry production and animal science, affiliated with the Animal Production Research Institute (ARC) under the Ministry of Agriculture in Egypt. Based in Alexandria, Egypt, Dr. Abou El-Ghar has contributed significantly to the genetic improvement of local chicken breeds, with a particular focus on egg production traits and hatchability. His notable works include studies on combining ability estimates for egg production traits, genetic analyses of generation means for crosses between local chicken breeds, and predictive models for hatchability based on egg quality traits. With a Ph.D. in Poultry Production, Dr. Abou El-Ghar has authored multiple research papers and serves as a reviewer for scientific journals, reflecting his commitment to advancing agricultural science and animal genetics.

References

Genetic Analyses of Generation Means for a  Cross Between Two Local Breeds of Chickens: 4- A Model for Hatchability Prediction as a Function of Some Egg Quality Trait

Published

2013-05-27

How to Cite

Genetic Analyses of Generation Means for a Cross Between Two Local Breeds of Chickens: 4- A Model for Hatchability Prediction as a Function of Some Egg Quality Trait. (2013). Global Journal of Science Frontier Research, 13(24), 1-5. https://journalofscience.org/index.php/GJSFR/article/view/103182