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Immunoglobulin concentration in bovine colostrum obtained by indirect methods

Published online by Cambridge University Press:  20 November 2025

Ingryd Muniz de Oliveira
Affiliation:
School of Veterinary Medicine and Animal Science, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil
Camila Soares Cunha
Affiliation:
School of Veterinary Medicine and Animal Science, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil
Luis Carlos Vinhas Ítavo
Affiliation:
School of Veterinary Medicine and Animal Science, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil
Luis Carlos Roma Júnior
Affiliation:
Agência Paulista de Tecnologia dos Agronegócios (APTA), Animal Science Institute, São Paulo, Brazil
Susana Amaral Teixeira
Affiliation:
School of Veterinary Medicine and Animal Science, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil
Geraldo Tadeu dos Santos*
Affiliation:
School of Veterinary Medicine and Animal Science, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil
*
Corresponding author: Geraldo Tadeu dos Santos; Email: gtsantos@uem.br

Abstract

The quality of colostrum is essential for the successful transfer of passive immunity and the early development of the immune system in newborns. This research was conducted with the aim of evaluating the agreement between measurements from different equipment: colostrometer, digital Brix refractometer and optical Brix refractometer, using fresh colostrum samples maintained at 21°C. Colostrum samples were collected from two farms (n1 = 31 and n2 = 193). Farm 1 included females from second to ninth lactation, comprising 15 Holstein Friesian (HF), 5 Jersey and 11 Holstein × Jersey crossbreeds. Farm 2 had HF heifers and cows from first to seventh lactation. Immunoglobulin content was assessed indirectly with a colostrometer and both types of Brix refractometers (digital and optical). For the correlation analysis, Pearson's product-moment method was used to assess the linear association between the equipment, followed by a Student's t-test and comparison of the obtained values with specific correlation coefficients (50%, 70%, 90% and 99%). There was a 98% correlation between the refractometers on Farm 1, which was significantly higher (P < 0.0001) than the commonly used reference values for weak (50%), moderate (70%) and strong (90%) correlations, and statistically equivalent to a 99% correlation. This indicates a very high, positive linear association between the digital and optical Brix refractometers. On Farm 2, a 97% correlation was found between the refractometers, which was significantly higher (P < 0.0001) than the specific reference values of 50%, 70% and 90%, but significantly lower than a 99% correlation.

Information

Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Hannah Dairy Research Foundation.

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References

Ahmann, J, Steinhoff-Wagner, J and Buscher, W (2021) Determining immunoglobulin content of bovine colostrum and factors affecting the outcome: a review. Animals 11, 3587. https://doi.org/10.3390/ani11123587CrossRefGoogle ScholarPubMed
Bartens, MC, Drillich, M, Rychli, K, Iwersen, M, Arnholdt, T, Meyer, L and Klein-Jöbstl, D (2016) Assessment of different methods to estimate bovine colostrum quality on farm. New Zealand Veterinary Journal 64, 263267. https://doi.org/10.1080/00480169.2016.1184109CrossRefGoogle ScholarPubMed
Bartier, AL, Windeyer, MC and Doepel, L (2015) Evaluation of on-farm tools for colostrum quality measurement. Journal of Dairy Science 98, 18781884. https://doi.org/10.3168/jds.2014-8415CrossRefGoogle ScholarPubMed
Bielmann, V, Gillan, J, Perkins, NR, Skidmore, AL, Godden, S and Leslie, KE (2010) An evaluation of Brix refractometer instruments for measurement of colostrum quality in dairy cattle. Journal of Dairy Science 93, 37133721. https://doi.org/10.3168/jds.2009-2943CrossRefGoogle ScholarPubMed
Blum, JW and Baumrucker, CR (2008) Insulin-like growth factors (IGFs), IGF binding proteins, and other endocrine factors in milk: role in the newborn. Advances in Experimental Medicine and Biology 606, 397422. https://doi.org/10.1007/978-0-387-74087-4_16CrossRefGoogle ScholarPubMed
Chigerwe, M and Hagey, JV (2014) Refractometer assessment of colostral and serum IgG and milk total solids concentrations in dairy cattle. BMC Veterinary Research 10, 178. https://doi.org/10.1186/s12917-014-0178-7CrossRefGoogle ScholarPubMed
Chigerwe, M, Tyler, JW, Middleton, JR, Espanha, JN, Dill, JS and Steevens, BJ (2008) Comparison of four methods to assess colostral IgG concentration in dairy cows. Journal of the American Veterinary Medical Association 233, 761766. https://doi.org/10.2460/javma.233.5.761CrossRefGoogle ScholarPubMed
Deelen, SM, Ollivett, TL, Haines, DM and Leslie, KE (2014) Evaluation of a Brix refractometer to estimate serum immunoglobulin G concentration in neonatal dairy calves. Journal of Dairy Science 97, 38383844. https://doi.org/10.3168/jds.2014-7939CrossRefGoogle ScholarPubMed
Diedenhofen, B and Musch, J (2015) cocor: a comprehensive solution for the statistical comparison of correlations. PLoS ONE 10, e0121945. https://doi.org/10.1371/journal.pone.0121945CrossRefGoogle ScholarPubMed
Dunn, A, Duffy, C, Gordon, A, Morrison, S, Argüello, A, Welsh, M and Earley, B (2018) Comparison of single radial immunodiffusion and ELISA for the quantification of immunoglobulin G in bovine colostrum, milk and calf serum. Journal of Applied Animal Research 46, 758765. https://doi.org/10.1080/09712119.2017.1394860CrossRefGoogle Scholar
Elsohaby, I, Mcclure, JT, Cameron, M, Heider, LC and Keefe, GP (2017) Rapid assessment of bovine colostrum quality: How reliable are transmission infrared spectroscopy and digital and optical refractometers? Journal of Dairy Science 100, 14271435. https://doi.org/10.3168/jds.2016-11824CrossRefGoogle ScholarPubMed
Fleenor, WA and Stott, GH (1980) Hydrometer test for estimation of immunoglobulin concentration in bovine colostrum. Journal of Dairy Science 63, 973977. https://doi.org/10.3168/jds.S0022-0302(80)83034-7CrossRefGoogle ScholarPubMed
Geiger, AJ (2020) Colostrum: back to basics with immunoglobulins. Journal of Animal Science 98, 126132. https://doi.org/10.1093/jas/skaa142CrossRefGoogle ScholarPubMed
Gelsinger, SL, Smith, AM, Jones, CM and Heinrichs, AJ (2015) Technical note: comparison of radial immunodiffusion and ELISA for quantification of bovine immunoglobulin G in colostrum and plasma. Journal of Dairy Science 98, 40844089. https://doi.org/10.3168/jds.2014-8491CrossRefGoogle ScholarPubMed
Godden, SM, Lombard, JE and Woolums, AR (2019) Colostrum management for dairy calves. Veterinary Clinics of North America: Food Animal Practice 35, 535556. https://doi.org/10.1016/j.cvfa.2019.07.005Google ScholarPubMed
Johnsen, JF, Sørby, J, Mejdell, CM, Sogstad, AM, Nødtvedt, A and Holmøy, IH (2019) Indirect quantification of IgG using a digital refractometer, and factors associated with colostrum quality in Norwegian Red Cattle. Acta Veterinaria Scandinavica 61, 494499. https://doi.org/10.1186/s13028-019-0494-9CrossRefGoogle ScholarPubMed
Kwiecien, R, Kopp-Schneider, A and Blettner, M (2011) Concordance analysis — part 16 of a series on evaluation of scientific publications. Deutsches Ärzteblatt International 108, 515521. https://doi.org/10.3238/arztebl.2011.0515Google ScholarPubMed
McHugh, ML (2012) Interrater reliability: The kappa statistic. Biochemia Medica 22, 276282. https://doi.org/10.11613/BM.2012.031CrossRefGoogle ScholarPubMed
Morrill, KM, Conrad, E, Polo, J, Lago, A, Campbell, J, Quigley, J and Tyler, H (2012) Estimate of colostral immunoglobulin G concentration using refractometry without or with caprylic acid fractionation. Journal of Dairy Science 95, 39873996. https://doi.org/10.3168/jds.2011-5104CrossRefGoogle ScholarPubMed
Mukaka, MM (2012) Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi Medical Journal 24, 6971.Google Scholar
Peter, AT (2013) Bovine placenta: A review on morphology, components, and defects from terminology and clinical perspectives. Theriogenology 80, 693705. https://doi.org/10.1016/j.theriogenology.2013.06.004CrossRefGoogle ScholarPubMed
Quigley, JD, Lago, A, Chapman, C, Erickson, P and Polo, J (2013) Evaluation of the Brix refractometer to estimate immunoglobulin G concentration in bovine colostrum. Journal of Dairy Science 96, 11481155. https://doi.org/10.3168/jds.2012-5823CrossRefGoogle ScholarPubMed
Revelle, W (2022) Psych: procedures for Psychological, Psychometric, and Personality Research. Evanston, Illinois: Northwestern University. R package version 2.2.9. CRAN.R-project.org/package=psych.Google Scholar
Röder, M, Borchardt, S, Heuwieser, W, Rauch, E, Sargent, R and Sutter, F (2023) Evaluation of laboratory and on-farm tests to estimate colostrum quality for dairy cows. Journal of Dairy Science 106, 91649173. https://doi.org/10.3168/jds.2023-23467CrossRefGoogle ScholarPubMed
Zobel, G, Rodriguez-Sanchez, R, Hea, SY, Weatherall, A and Sargent, R (2020) Validation of Brix refractometers and a hydrometer for measuring the quality of caprine colostrum. Journal of Dairy Science 103, 92779289. https://doi.org/10.3168/jds.2020-18165CrossRefGoogle Scholar