Fourier Transform Infrared Spectroscopy (FTIR) has been shown to be a powerful tool for the characterization of the chemical composition of milk in the dairy industry. Routine FTIR milk analyzers are used in milk production facilities all over the world to predict bulk parameters such as fat, lactose, protein, urea, pH, etc. Members of our group have been among the first researchers establishing calibration models for fatty acid composition. By these models and the routine milk analyses by FTIR spectroscopy, lipid profiles of millions of cows were obtained and used in breeding programs and for genetic improvement of milk quality.
In collaboration with IHA/NMBU group members established prediction models for fatty acid composition of milk using FTIR analysis and GC-MS fatty acid profiling as reference analysis (see Table 1).
A typical spectrum obtained by a routine measurement at TINE/Norway is shown in Fig. 1. Calibration models based on more than 1000 samples exist today. Calibration results are shown in Table 2. Selected calibration models are illustrated in Fig. 2. In an on-going project at IHA, 8 million milk spectra from the routine FTIR measurements of cow milk of all Norwegian cows were collected since 2007. The established prediction models for fatty acids have been used to predict fatty acids for all spectra. The results are being used for further studies on genetic selection to improve fat content and fat composition of milk. Since both characteristics are highly heritable traits they can be effectively improved by breeding.
In collaboration with ProMed at NMBU we are currently establishing PLSR based calibration models for monitoring cyclical changes of progesterone in dried milk samples. This is expected to allow detection of early ovarian activity.
Norwegian Research Council, Project Nº 225173
Norwegian Research Council, Project Nº 244231
Knutsen T.M., Olsen H.G., Tafintseva V., Svendsen M., Kohler A., Kent M.P., Lien S.
Unravelling genetic variation underlying de novo-synthesis of bovine milk fatty acids.
Scientific reports 8 (2018) 2179.
Nørstebø H., Rachah A., Dalen G., Rønningen O., Whist A.C., Reksen O.
Milk-flow data collected routinely in an automatic milking system: an alternative to milking-time testing in the management of teat-end condition?
Acta Veterinaria Scandinavica 60:2 (2018) doi: 10.1186/s13028-018-0356-x.
Dalen G., Rachah A., Nørstebø H., Schukken Y.H., Gröhn Y.T., Barlow J.W., Reksen O.
Transmission dynamics of intramammary infections caused by Corynebacterium species.
Journal of Dairy Science 101 (2018) 472.
Rachah A., Dalen G., Reksen O., Nørstebø H., Barlow J.W.
Modelling and dynamics of intramammary infections caused by Corynebacterium species.
IEEE Xplore, 2017. doi:10.1109/ICMSAO.2017.7934858
Olsen H.G., Knutsen T.M., Kohler A., Svendsen M., Gidskehaug L., Grove H., Nome T., Sodeland M., Sundsaasen K.K., Kent M.P., Martens H., Lien S.
Genome-wide association mapping for milk fat composition and fine mapping of a QTL for de novo synthesis of milk fatty acids on bovine chromosome 13.
Genetics Selection Evolution, 49:20 (2017) doi:10.1186/s12711-017-0294-5
Martin A.D., Afseth N.K., Kohler A., Randby Å., Eknæs M., Waldmann A., Dørum G., Måge I., Reksen O.
The relationship between fatty acid profiles in milk identified by Fourier transform infrared spectroscopy and onset of luteal activity in Norwegian dairy cattle.
Journal of Dairy Science 98 (2015) 1.
Afseth N.K., Martens H., Giskehaug L., Narum B., Jørgensen K., Lien S., Haug A., Kohler A.
Predicting fatty acid composition of milk - A comparison of two FTIR sampling techniques.
Applied Spectroscopy 64 (2010) 700.
Martens H., Kohler A., Afseth N.K., Wold J.P., Hersleth M., Berget I., Ådnøy T., Skaugen M., Isaksson T., Vegarud G., Criscione A., Frøst M.B., Randby Å., Prestløkken E., Berg P., Kent M., Lien S., Omholt S.W.
High-throughput measurements for functional genomics of milk.
Journal of Animal and Feed Sciences 16 (2007) 172.