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Covariance structures of fat and protein influence the estimation of IgG in bovine colostrum

Published online by Cambridge University Press:  12 February 2016

Mette Marie Løkke ,
Rikke Engelbrecht  and
Lars Wiking
Mette Marie Løkke*
Affiliation:
Department of Food Science, Aarhus University, AU-Foulum, DK-8830 Tjele, Denmark
Rikke Engelbrecht
Affiliation:
Western Union of Agricultural Services, DK-6950 Ringkøbing, Denmark
Lars Wiking
Affiliation:
Department of Food Science, Aarhus University, AU-Foulum, DK-8830 Tjele, Denmark
*
*For correspondence; e-mail: [email protected]
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Abstract

On-farm instruments for assessing colostrum quality are needed in order to ensure that the calf is supplied with enough IgG to avoid failure of passive transfer. The aim of this study was to evaluate methods for estimating the IgG concentration in cows' colostrum. This research included 126 colostrum samples from 21 Danish farms with different breeds, ensuring a broad variation pattern in IgG, total protein and fat concentration. Approximately one third of the samples did not fulfil the recommendation of >50 g IgG/l colostrum, and the IgG concentration decreased with time from calving to milking. The ratio of IgG to total protein varied from 6 to 61%, however IgG and total protein were correlated with r2 = 0·70. The variation in fat was independent of variations in protein and IgG. The IgG concentration was measured by ELISA and compared to fast measurements by specific gravity by colostrometer, Brix by refractometer and prediction from infrared spectroscopy. The three fast methods were all correlated to the total protein concentration of colostrum; however specific gravity was also influenced by the fat concentration. Furthermore, specific gravity generally overestimated the IgG concentration, and the cut-off level should be raised to 1050 in order to ensure adequate IgG in colostrum. None of the methods estimated IgG concentration better than the correlation of total protein and IgG, meaning that they all depended on the indirect correlation between total protein and IgG. The results suggest that using a refractometer for quality control of colostrum is an easy and feasible method, and a cut-off level of Brix 22 seems sufficient to assure adequate IgG concentration in colostrum fed to the calf.

Keywords

ColostrumIgGcolostrometerBrixFT-IR
Type
Research Article
Information
Journal of Dairy Research , Volume 83 , Issue 1 , February 2016 , pp. 58 - 66
Copyright
Copyright © Proprietors of Journal of Dairy Research 2016 

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References

Bartier, AL, Windeyer, MC & Doepel, L 2015 Evaluation of on-farm tools for colostrum quality measurement. Journal of Dairy Science 98 1878–1884CrossRefGoogle ScholarPubMed
Beam, AL, Lombard, JE, Kopral, CA, Garber, LP, Winter, AL, Hicks, JA & Schlater, JL 2009 Prevalence of failure of passive transfer of immunity in newborn heifer calves and associated management practices on US dairy operations. Journal of Dairy Science 92 3973–3980CrossRefGoogle ScholarPubMed
Bielmann, V, Gillan, J, Perkins, NR, Skidmore, AL, Godden, S & Leslie, KE 2010 An evaluation of Brix refractometry instruments for measurement of colostrum quality in dairy cattle. Journal of Dairy Science 93 3713–3721CrossRefGoogle ScholarPubMed
Eskildsen, CE, Rasmussen, MA, Engelsen, SB, Larsen, LB, Poulsen, NA & Skov, T 2014 Quantification of individual fatty acids in bovine milk by infrared spectroscopy and chemometrics: understanding predictions of highly collinear reference variables. Journal of Dairy Science 97 7940–7951CrossRefGoogle ScholarPubMed
FOSS 2012 MilkoScan FT2 Milk Application. Application Note 252d. Hillerød, Denmark: FOSS Analytical A/SGoogle Scholar
Gelsinger, SL, Smith, AM, Jones, CM & 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 4084–1089CrossRefGoogle ScholarPubMed
Gross, JJ, Kessler, EC & Bruckmaier, RM 2014 Colour measurement of colostrum for estimation of colostral IgG and colostrum composition in dairy cows. Journal of Dairy Research 81 440–444CrossRefGoogle ScholarPubMed
Gulliksen, SM, Lie, KI, Solverod, L & Osteras, O 2008 Risk factors associated with colostrum quality in Norwegian dairy cows. Journal of Dairy Science 91 704–712CrossRefGoogle ScholarPubMed
Maunsell, FP, Morin, DE, Constable, PD, Hurley, WL & McCoy, GC 1999 Use of mammary gland and colostral characteristics for prediction of colostral IgG, concentration and intramammary infection in Holstein cows. Journal of the American Veterinary Medical Association 214 1817–1823CrossRefGoogle Scholar
McGuirk, SM & Collins, M 2004 Managing the production, storage, and delivery of colostrum. Veterinary Clinics of North America: Food Animal Practice 20 593–603Google ScholarPubMed
Mechor, GD, Gröhn, YT, McDowell, LR & van Saun, RJ 1992 Specific-gravity of bovine colostrum immunoglobulins as affected by temperature and colostrum components. Journal of Dairy Science 75 3131–3135CrossRefGoogle ScholarPubMed
Moore, M, Tyler, JW, Chigerwe, M, Dawes, ME & Middleton, JR 2005 Effect of delayed colostrum collection on colostral IgG concentration in dairy cows. Journal of the American Veterinary Medical Association 226 1375–1377CrossRefGoogle ScholarPubMed
Morin, DE, Constable, PD, Maunsell, FP & McCoy, GC 2001 Factors associated with colostral specific gravity in dairy cows. Journal of Dairy Science 84 937–943CrossRefGoogle ScholarPubMed
Morin, DE, Nelson, SV, Reid, ED, Nagy, DW, Dahl, GE & Constable, PD 2010 Effect of colostral volume, interval between calving and first milking, and photoperiod on colostral IgG concentrations in dairy cows. Journal of the American Veterinary Medical Association 237 420–428CrossRefGoogle ScholarPubMed
Morrill, KM, Conrad, E, Lago, A, Campbell, J, Quigley, J & Tyler, H 2012 Nationwide evaluation of quality and composition of colostrum on dairy farms in the United States. Journal of Dairy Science 95 3997–4005CrossRefGoogle ScholarPubMed
Morrill, KM, Robertson, KE, Spring, MM, Robinson, AL & Tyler, HD 2015 Validating a refractometer to evaluate immunoglobulin G concentration in Jersey colostrum and the effect of multiple freeze–thaw cycles on evaluating colostrum quality. Journal of Dairy Science 98 595–601CrossRefGoogle ScholarPubMed
Quigley, JD, Lago, A, Chapman, C, Erickson, P & Polo, J 2013 Evaluation of the Brix refractometer to estimate immunoglobulin G concentration in bovine colostrum. Journal of Dairy Science 96 1148–1155CrossRefGoogle ScholarPubMed
Rivero, MJ, Valderrama, X, Haines, D & Alomar, D 2012 Prediction of immunoglobulin G content in bovine colostrum by near-infrared spectroscopy. Journal of Dairy Science 95 1410–1418CrossRefGoogle ScholarPubMed
Verweij, JJ, Koets, AP & Eisenberg, SW 2014 Effect of continuous milking on immunoglobulin concentrations in bovine colostrum. Veterinary Immunology and Immunopathology 160 225–229CrossRefGoogle ScholarPubMed
Weaver, DM, Tyler, JW, VanMetre, DC, Hostetler, DE & Barrington, GM 2000 Passive transfer of colostral immunoglobulins in calves. Journal of Veterinary Internal Medicine 14 569–577CrossRefGoogle ScholarPubMed