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Prediction of β-lactoglobulin genotypes based on milk Fourier transform infrared spectra.
- Source :
-
Journal of dairy science [J Dairy Sci] 2011 Aug; Vol. 94 (8), pp. 4183-8. - Publication Year :
- 2011
-
Abstract
- β-Lactoglobulin (β-LG) genotypes are associated with differences in bovine milk protein composition. Therefore, β-LG genotypes are of direct relevance for the dairy industry. In this study, we predicted β-lactoglobulin genotypes based on routinely recorded milk Fourier transform infrared spectra using 500 calibration samples. The results show that 76% of the cows carrying the β-LG AA genotype, 80% of the cows carrying the β-LG AB genotype, and 66% of the cows carrying the β-LG BB genotype were predicted correctly. Furthermore, the prediction of β-LG genotypes based on Fourier transform infrared spectra showed a repeatability of 0.85. We discuss how the combined use of predicted β-LG genotypes, pedigree information, and β-LG genotypes derived using other methods could lead to further improvement in the percentage of correctly predicted β-LG genotypes. The presented methodology is easy and inexpensive and could ultimately provide β-LG genotypes at the individual cow level.<br /> (Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1525-3198
- Volume :
- 94
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Journal of dairy science
- Publication Type :
- Academic Journal
- Accession number :
- 21787953
- Full Text :
- https://doi.org/10.3168/jds.2011-4149