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Selection for milk fat and milk protein composition

Published online by Cambridge University Press:  30 July 2013

H. Bovenhuis ,
M. H. P. W. Visker  and
A. Lundén
H. Bovenhuis*
Affiliation:
Animal Breeding and Genomics Centre, Wageningen University, PO Box 338, 6700 AH Wageningen, The Netherlands
M. H. P. W. Visker
Affiliation:
Animal Breeding and Genomics Centre, Wageningen University, PO Box 338, 6700 AH Wageningen, The Netherlands
A. Lundén
Affiliation:
Swedish University of Agricultural Sciences, Department of Animal Breeding and Genetics, PO Box 7023, SE-75007 Uppsala, Sweden
*
†E-mail: henk.bovenhuis@wur.nl
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Abstract

The suitability of milk for specific dairy products might be improved by changing milk fat or milk protein composition. In the RobustMilk project, we showed that milk fat composition is determined by genetic factors. In addition, recent studies indicate that milk protein composition is strongly affected by genetic factors. This suggests that there are opportunities to change milk composition by means of selective breeding. Traditional selection is based on large-scale phenotyping and not all analytical methods are suited for this purpose. The RobustMilk project team has shown that several fatty acids can be predicted on the basis of IR spectra. Accuracy of predicting individual milk proteins based on IR spectra is low. In addition to phenotypic records, selection might be based on genotypic information. DGAT1 and SCD1 genotypes are strongly associated with fat composition. β-Lactoglobulin, β-casein and κ-casein protein variants are strongly associated with protein composition. We conclude that tools are now available for changing detailed milk fat or milk protein composition by means of selective breeding.

Keywords

geneticmilkfat compositionprotein composition
Type
Full Paper
Information
Advances in Animal Biosciences , Volume 4 , Issue 3: Proceedings of the ROBUSTMILK project, an EU wide programme which was financially supported by the European Commission under the Seventh Research Framework Program, Grant Agreement KBBE–211708 , July 2013 , pp. 612 - 617
Copyright
Copyright © The Animal Consortium 2013 

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