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466 PROCEEDINGS OF INTERNATIONAL SCIENTIFIC CONFERENCE ON APPLIED BIOTECHNOLOGYThe ANOVA results show that ADG and weaning weight have a very large and statistically significant influence on weaning weight (p = 0.000). However, birth season does not have a statistically significant effect (p = 0.156). This model explains 70.76% of the variation in the data.Johnson et al. (2022) [4] studied the influence of genetic and environmental factors on calf growth. They also found that ADG and weaning weight are important factors, explaining a large portion of the variation in the data. Zhang et al. (2023) [10] reported that birth season has a statistically insignificant effect on growth rate, and a recent study by Patel and colleagues (2024) [5] examined the relationship between ADG and weaning weight. They discovered that both of these factors have a significant impact on the overall development of calves. Lee and colleagues (2024) [3] synthesized results from multiple studies on calf growth. They concluded that although birth season may affect some aspects of calf development, its influence is often less important compared to factors such as ADG and weaning weight.Regression equation between weaning age and factors of weight gain, body weight of weaned calves: Weaning age = 4.02761 - 1.06832 Weight gain + 0.012025 Weaning weightTable 6. Parameters of the regression equationParameter Coefficient SE %u201ct%u201d value ProbabilityConstant 4.02761 0.02629 153.21 0.0000Weight gain -1.06832 0.03918 -27.27 0.0000Weaning weight 0.012025 0.000451 26.68 0.0000We can see that the constant is 4.02761 with p-value = 0.0000, indicating statistical significance. ADG: Coefficient -1.06832 with p-value = 0.0000, indicating that ADG has a significant negative effect on weaning age. Weaning weight has a coefficient of