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 : 100 | Download : 11
Publication Date : 2023-10-13
Article Type : Research Paper
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 insert ignore into journalissuearticles values(EWT);, egg length insert ignore into journalissuearticles values(EL);, egg diameter insert ignore into journalissuearticles values(ED);, shell thickness insert ignore into journalissuearticles values(ST);, shell weight insert ignore into journalissuearticles values(SW);, albumen height insert ignore into journalissuearticles values(AH);, albumen weight insert ignore into journalissuearticles values(AW);, yolk height insert ignore into journalissuearticles values(YH);, yolk weight insert ignore into journalissuearticles values(YW); and yolk length insert ignore into journalissuearticles values(YL);. Data were subjected to statistical analysis procedures of SPSS insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(±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 trait
Keywords : Yumurta ağırlığı, yumurta kalitesi özellikleri, Isa Brown tavuğu, regresyon

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