4.7 Article

Accuracy of direct and indirect methods for assessing bovine colostrum quality using a latent class model fit within a Bayesian framework

Journal

JOURNAL OF DAIRY SCIENCE
Volume 104, Issue 4, Pages 4703-4714

Publisher

ELSEVIER SCIENCE INC
DOI: 10.3168/jds.2020-19231

Keywords

colostrum; immunoglobulin G; infrared spectroscopy; Brix refractometer; radial immunodiffusion assay; latent class analysis

Funding

  1. Atlantic Canada Opportunities Agency (Charlottetown, PEI, Canada)
  2. Milk 2020 (Sussex, NB, Canada)
  3. Zoetis (Kirkland, QC, Canada)
  4. Mitacs Elevate Postdoctoral Fellowship [IT09473]
  5. Natural Sciences and Engineering Research Council of Canada [RGPIN-2020-05237]

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Accurate assessment of colostrum quality is essential for calf health and future productivity in dairy farms. A study in Atlantic Canada assessed 591 colostrum samples from 42 commercial Holstein dairy herds using RID, TIR spectroscopy, and digital Brix refractometer, with different sensitivities and specificities observed for each method. The study also estimated within-herd prevalence of low-quality colostrum and recommended the use of digital Brix refractometer for improved colostrum management practices.
Feeding high-quality colostrum is essential for calf health and future productivity. Therefore, accurate assessment of colostrum quality is a key component of dairy farm management plans. Direct and indirect methods are available for assessment of colostrum quality; however, the indirect methods are rapid, inexpensive, and can be performed under field settings. A hierarchical latent class model fit within a Bayesian framework was used to estimate the sensitivity (Se) and specificity (Sp) of the radial immunodiffusion (RID) assay, transmission infrared (TIR) spectroscopy, and digital Brix refractometer for the assessment of low-quality bovine colostrum in Atlantic Canada dairy herds. The secondary objective of the study was to describe the distribution of herd prevalence of low-quality colostrum. Colostrum quality of 591 samples from 42 commercial Holstein dairy herds in 4 Atlantic Canada provinces was assessed using RID, TIR spectroscopy, and digital Brix refractometer. The accuracy of all tests at different Brix value thresholds was estimated using Bayesian latent class models to obtain posterior estimates [medians and 95% Bayesian credibility intervals (95% BCI)] for each parameter. Using a threshold of <23% for digital Brix refractometer and <50 g/L for RID and TIR spectroscopy, median (95% BCI) Se estimates were 73.2 (68.4-77.7), 86.2 (80.6-91.0), and 91.9% (89.0-94.2), respectively. Median (95% BCI) Sp estimates were 85.2% (81.0-88.9) for digital Brix refractometer, 99.4% (97.0-100) for RID, and 90.7% (87.8-93.2) for TIR spectroscopy. Median (95% BCI) within-herd low-quality colostrum prevalence was estimated at 32.5% (27.9-37.4). In conclusion, using digital Brix refractometer at a Brix threshold of <23% could reduce feeding of low-quality colostrum to calves and improve colostrum and calf management practices in Atlantic Canada dairy herds. The TIR spectroscopy showed high Se in detection of low-quality colostrum. However, the RID assay, which is used as the reference test in several studies, showed limited Se for detection of low-quality colostrum.

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