- Ege Üniversitesi Ziraat Fakültesi Dergisi
- Cilt: 60 Sayı: 3
- Analysis of egg quality traits and prediction of egg weight in Isa Brown laying hens
Analysis of egg quality traits and prediction of egg weight in Isa Brown laying hens
Authors : Emmanuel Rotimi
Pages : 399-404
Doi:10.20289/zfdergi.1263632
View : 5 | Download : 1
Publication Date : 2023-10-13
Article Type : Research
Abstract :Objective: The objective of this study was to determine the best-fitted regression model for estimating egg weight of Isa Brown laying chickens using external and internal egg parameters. Materials and Method: Data collected include: egg weight (EWT), egg length (EL), egg diameter (ED), shell thickness (ST), shell weight (SW), albumen height (AH), albumen weight (AW), yolk height (YH), yolk weight (YW) and yolk length (YL). Data were subjected to statistical analysis procedures of SPSS (version 23.0.0). Egg weight was regressed on external and internal egg parameters using forward, backward and full model regression procedures, to determine the combinations of egg parameters that explain variation in the dependent variable. Results: Results showed that the mean (±SE) of EWT, EL, ED, ST, SW, AH, AW, YH, YW and YL were 60.49±0.47, 4.23±0.03, 2.94±0.02, 1.37±0.01, 6.04±0.05, 1.20±0.01, 36.30±0.39, 1.22±0.02, 15.29±0.15 and 2.32±0.02 respectively. The models of EWT = 30.638+0.582AW+0.571YW and EWT = -14.991+8.779EL+5.493ED+3.686SW are the best fitted regression models for predicting egg weight of Isa Brown laying chickens. Conclusion: Conclusively, egg weight of Isa Brown laying chickens can be improved through selection for EL, ED, ST and SW traitKeywords : Yumurta ağırlığı, yumurta kalitesi özellikleri, Isa Brown tavuğu, regresyon