TY  - JOUR
TI  - Analysis of egg quality traits and prediction of egg weight in Isa Brown laying hens
AB  - 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 trait
AU  - Rotimi, Emmanuel
DO  - 10.20289/zfdergi.1263632
PY  - 2023
JO  - Ege Üniversitesi Ziraat Fakültesi Dergisi
VL  - 60
IS  - 3
SN  - 1018-8851
SP  - 399
EP  - 404
DB  - TRDizin
UR  - http://search/yayin/detay/1201558
ER  -