Impacts of preweaning colostrum feeding practices and health measures on dairy cow production, while accounting for genetic potential.

Abstract

Calf management and health are essential for setting up the foundation of a productive cow. The objectives of this study were to estimate the impact of preweaning practices on milk production parameters while accounting for an animal's genetic potential in New Brunswick, Canada. A retrospective cohort study was performed on 220 heifer calves from eight herds born in 2014-2015. Preweaning practices and health data were recorded by producers and reviewed by the herd veterinarian for each calf. The herd veterinarian also visited the farms to collect serum samples from calves and frozen colostrum samples. The production outcomes assessed were milk, protein and fat yields, standardized to 305 d for the first lactation (L1) and a combined group of lactations two and three (L2 + 3). The genomic potential was determined as genomic parent averages (GPA) for the associated production parameters. Analysis was performed with multivariable linear (L1) and linear mixed (L2 + 3) regression models. In L1, for every 1.0kg increase in weaning weight, milk, protein, and fat yield increased by 25.5, 0.82, and 1.01kg, respectively (P < 0.006). Colostrum feeding time (CFT) positively impacted L1 milk and protein production, with feeding between 1-2h of life producing the greatest estimates of 626kg of milk and 18.2kg of protein yield (P < 0.007), compared to earlier or later CFT. Fat yield production was decreased by 80.5kg (P < 0.006) in L1 when evaluating animals that developed a preweaning disease and were not treated with antibiotics compared to healthy untreated animals. Impacts on L2 + 3 were similar across all production outcomes, with a positive interaction effect of CFT and weaning weight. Compared to CFT < 1h, the later CFT groups of 1-2h and > 2h produced greater yield outcomes of 68.2 to 72.6kg for milk (P < 0.006), 2.06 to 2.15kg for protein (P < 0.005), and 1.8 to 1.9kg for fat (P < 0.045) for every 1kg increase of weaning weight, respectively. The fit of all models was significantly improved with the inclusion of GPA. These results indicate that colostrum management and preweaning health measures impacted production parameters as adults. The inclusion of GPA significantly improved the accuracy of the models, indicating that this can be an important parameter to include in future studies.