Abstract
Due to the unique challenges of supporting milk production, subclinical hypocalcemia (SCH) is common among early lactation dairy cows. Though SCH immediately following parturition may constitute normal adaptation to the transition period, there is growing evidence that cows with SCH beyond 4 days postpartum (DIM) have developed dyscalcemia, a pattern of calcium dysregulation that has been associated with negative health and production outcomes. Despite prevalence of dyscalcemia ranging from 25% to 45%, identifying cows with dyscalcemia remains a major challenge on commercial dairies. Our objective was to develop an algorithm for predicting dyscalcemia status using Fourier-transform mid-infrared spectroscopic (FT MIR) analysis of milk samples at 3 and 4 DIM.
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