Literature DB >> 29385472

Application of transmission infrared spectroscopy and partial least squares regression to predict immunoglobulin G concentration in dairy and beef cow colostrum.

Ibrahim Elsohaby1,2, M Claire Windeyer3, Deborah M Haines4,5, Elizabeth R Homerosky3, Jennifer M Pearson3, J Trenton McClure1, Greg P Keefe1.   

Abstract

The objective of this study was to explore the potential of transmission infrared (TIR) spectroscopy in combination with partial least squares regression (PLSR) for quantification of dairy and beef cow colostral immunoglobulin G (IgG) concentration and assessment of colostrum quality. A total of 430 colostrum samples were collected from dairy (n = 235) and beef (n = 195) cows and tested by a radial immunodiffusion (RID) assay and TIR spectroscopy. Colostral IgG concentrations obtained by the RID assay were linked to the preprocessed spectra and divided into combined and prediction data sets. Three PLSR calibration models were built: one for the dairy cow colostrum only, the second for beef cow colostrum only, and the third for the merged dairy and beef cow colostrum. The predictive performance of each model was evaluated separately using the independent prediction data set. The Pearson correlation coefficients between IgG concentrations as determined by the TIR-based assay and the RID assay were 0.84 for dairy cow colostrum, 0.88 for beef cow colostrum, and 0.92 for the merged set of dairy and beef cow colostrum. The average of the differences between colostral IgG concentrations obtained by the RID- and TIR-based assays were -3.5, 2.7, and 1.4 g/L for dairy, beef, and merged colostrum samples, respectively. Further, the average relative error of the colostral IgG predicted by the TIR spectroscopy from the RID assay was 5% for dairy cow, 1.2% for beef cow, and 0.8% for the merged data set. The average intra-assay CV% of the IgG concentration predicted by the TIR-based method were 3.2%, 2.5%, and 6.9% for dairy cow, beef cow, and merged data set, respectively.The utility of TIR method for assessment of colostrum quality was evaluated using the entire data set and showed that TIR spectroscopy accurately identified the quality status of 91% of dairy cow colostrum, 95% of beef cow colostrum, and 89% and 93% of the merged dairy and beef cow colostrum samples, respectively. The results showed that TIR spectroscopy demonstrates potential as a simple, rapid, and cost-efficient method for use as an estimate of IgG concentration in dairy and beef cow colostrum samples and assessment of colostrum quality. The results also showed that merging the dairy and beef cow colostrum sample data sets improved the predictive ability of the TIR spectroscopy.

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Year:  2018        PMID: 29385472      PMCID: PMC6140976          DOI: 10.1093/jas/sky003

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  22 in total

1.  Evaluation of on-farm tools for colostrum quality measurement.

Authors:  A L Bartier; M C Windeyer; L Doepel
Journal:  J Dairy Sci       Date:  2015-01-09       Impact factor: 4.034

2.  Investigation of colostrum quality in beef cattle by radial immunodiffusion and brix refractometry.

Authors:  S Vandeputte; J Detilleux; F Rollin
Journal:  Vet Rec       Date:  2014-08-05       Impact factor: 2.695

3.  A concordance correlation coefficient to evaluate reproducibility.

Authors:  L I Lin
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

4.  Rapid assessment of bovine colostrum quality: How reliable are transmission infrared spectroscopy and digital and optical refractometers?

Authors:  I Elsohaby; J T McClure; M Cameron; L C Heider; G P Keefe
Journal:  J Dairy Sci       Date:  2016-12-14       Impact factor: 4.034

5.  Regulation of colostrum formation in beef and dairy cows.

Authors:  M A Guy; T B McFadden; D C Cockrell; T E Besser
Journal:  J Dairy Sci       Date:  1994-10       Impact factor: 4.034

6.  An examination of the influence of husbandry on the plasma immunoglobulin level of the newborn calf, using a rapid refractometer test for assessing immunoglobulin content.

Authors:  D G McBeath; W J Penhale; E F Logan
Journal:  Vet Rec       Date:  1971-03-13       Impact factor: 2.695

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

Authors:  Mette Marie Løkke; Rikke Engelbrecht; Lars Wiking
Journal:  J Dairy Res       Date:  2016-02       Impact factor: 1.904

8.  Colostrogenesis: mass transfer of immunoglobulin G1 into colostrum.

Authors:  C R Baumrucker; A M Burkett; A L Magliaro-Macrina; C D Dechow
Journal:  J Dairy Sci       Date:  2010-07       Impact factor: 4.034

9.  Assessment of different methods to estimate bovine colostrum quality on farm.

Authors:  M-C Bartens; M Drillich; K Rychli; M Iwersen; T Arnholdt; L Meyer; D Klein-Jöbstl
Journal:  N Z Vet J       Date:  2016-05-26       Impact factor: 1.628

10.  A survey of bovine colostrum composition and colostrum management practices on Pennsylvania dairy farms.

Authors:  S I Kehoe; B M Jayarao; A J Heinrichs
Journal:  J Dairy Sci       Date:  2007-09       Impact factor: 4.034

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  3 in total

1.  Concentration and heritability of immunoglobulin G and natural antibody immunoglobulin M in dairy and beef colostrum along with serum total protein in their calves.

Authors:  Tess E Altvater-Hughes; Douglas C Hodgins; Lauraine Wagter-Lesperance; Shannon C Beard; Shannon L Cartwright; Bonnie A Mallard
Journal:  J Anim Sci       Date:  2022-02-01       Impact factor: 3.159

2.  Assessment of Brix refractometry to estimate immunoglobulin G concentration in beef cow colostrum.

Authors:  Lisa Gamsjäger; Ibrahim Elsohaby; Jennifer M Pearson; Michel Levy; Edmond A Pajor; Deborah M Haines; M Claire Windeyer
Journal:  J Vet Intern Med       Date:  2020-05-28       Impact factor: 3.333

Review 3.  Determining Immunoglobulin Content of Bovine Colostrum and Factors Affecting the Outcome: A Review.

Authors:  Johanna Ahmann; Julia Steinhoff-Wagner; Wolfgang Büscher
Journal:  Animals (Basel)       Date:  2021-12-18       Impact factor: 2.752

  3 in total

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