This study was aimed at determining the factors influential on the prediction of chick sex in hatching eggs. Data pertaining to quail eggs, from which 478 live chicks hatched after incubation, constituted the material of the study. The binary logistic regression analysis was used for statistical analyses. Four were determined, which influenced the probability of the chick sex being male or female. These predictor variables were determined, which influenced the probability of the chick sex being male or female. These predictor variables were egg weight, egg length, egg width, and egg shape index. The present study demonstrated the mean weight of quail eggs as 12.75±0.89 g and their shape index value range as 75.45±3.02%. The equation of logistic regression model for the four variables was Y=2826.052 + (1.364 egg weight) – (75.007 egg length) + (98.860 egg width) – (37.500 egg shape index). The chi-square value was 563.797 with a P-value of less than 0.0001. The analyses performed demonstrated that, the independent variables included in the model, egg weight and egg width had positive influence on chick sex.
Key words: Logistic regression, quail, sexing, shape index.
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