Meta-analysis of the effect of initial serum protein concentration and empirical prediction model for growth of neonatal Holstein calves through 8 weeks of age

A data set was constructed from individual calf means gathered in the Nurture Research Center (Lewisburg, OH) and used in a meta-analysis to parameterize an empirical model predicting growth measures for neonatal calves. The data set contained 993 observations from 20 research trials conducted in all seasons of multiple years. Growth measures gathered included average daily gain (ADG) preweaning, postweaning, and through 8 wk of age. Independent variables gathered included age at weaning; total starter intake (SI); total milk replacer intake (MRI); milk replacer CP (MRCP) and fat (MRfat) contents; number of days with abnormal fecal scores (AFS); average environmental temperature preweaning, postweaning, and through 8 wk of age; minimum and maximum temperature during the entire 8 wk; body weight at d 0; and initial serum protein concentration. Additionally, the interactions of SI, MRI, and MRCP and MRfat were considered for the model. Backward elimination multiple regressions were conducted using a mixed model with a random effect of trial. The final model for total ADG indicated that increasing SI or MRI improves calf growth. Also, increasing MRCP or MRfat increased growth. Increased sickness (as measured by increased AFS) or increased body weight at d 0 decreased ADG. Growth of neonatal dairy calves appears to be more controlled by nutrient intake and their interactions than by surrogates for health status of the calves (AFS and initial serum protein concentration) or environmental temperature.