Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10974375 | Journal of Dairy Science | 2015 | 5 Pages |
Abstract
The aim of this work was to test the applicability of Fourier-transform mid-infrared spectroscopy (FT-MIR) for the prediction of the contents of casein (CN) and whey protein fractions in buffalo milk. Buffalo milk samples spectra were collected using a MilkoScan FT2 (Foss, Hillerød, Denmark) over the spectral range from 5,000 to 900 wavenumber à cmâ1. Contents of protein fractions, as well as CSN1S1 and CSN3 genotypes, were assessed by reversed phase HPLC. The highest coefficients of determination in cross-validation (1 â VR) were obtained for the contents (g/L of milk) of total protein and CN (1 â VR = 0.92), followed by the content of β-CN, total whey protein, and αS2-CN (1 â VR of 0.87, 0.77, and 0.63, respectively). Conversely, contents of αS1-CN, γ-CN, glycosylated-κ-CN, total κ-CN, and whey protein fractions were predicted with poor accuracy (1 â VR <0.51). When protein fractions were expressed as percentages to total protein, 1 â VR values were never greater than 0.61 (β-CN). Only 56 and 70% of the observations were correctly classified by discriminant analysis in each of 2 groups of CSN1S1 and CSN3 genotypes, respectively. Results showed that FT-MIR spectroscopy is not applicable when prediction of detailed milk protein composition with high accuracy is required. Predictions may play a role as indicator traits in selective breeding, if the genetic correlation between FT-MIR predictions and measures of milk protein composition are high enough and predictions of protein fraction contents are sufficiently independent from the predicted total protein content.
Related Topics
Life Sciences
Agricultural and Biological Sciences
Animal Science and Zoology
Authors
V. Bonfatti, A. Cecchinato, P. Carnier,