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- W4387578032 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 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." @default.
- W4387578032 created "2023-10-13" @default.
- W4387578032 creator A5086856308 @default.
- W4387578032 date "2023-10-12" @default.
- W4387578032 modified "2023-10-14" @default.
- W4387578032 title "Isa Brown yumurtlayan tavuklarda yumurta kalitesi özelliklerinin analizi ve yumurta ağırlığının tahmini" @default.
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- W4387578032 doi "https://doi.org/10.20289/zfdergi.1263632" @default.
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