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Variation of Detailed Protein Composition of Cow Milk Predicted from a Large Database of Mid-Infrared Spectra

Authors :
Marco Franzoi
Giovanni Niero
Giulio Visentin
Mauro Penasa
Martino Cassandro
Massimo De Marchi
Source :
Animals, Vol 9, Iss 4, p 176 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

This study aimed to investigate factors affecting protein fractions, namely α-casein (α-CN), β-casein (β-CN), κ-casein (κ-CN), β-lactoglobulin (β-LG) and α-lactalbumin (α-LA) predicted from milk infrared spectra in milk of dairy and dual-purpose cattle breeds. The dataset comprised 735,328 observations from 49,049 cows in 1782 herds. Results highlighted significant differences of protein fractions in milk of the studied breeds. Significant variations of protein fractions were found also through parities and lactation, with the latter thoroughly influencing protein fractions percentage. Interesting correlations (r) were estimated between β-CN, κ-CN and β-LG, expressed as percentage of crude protein, and milk urea nitrogen (r = 0.31, −0.20 and −0.26, respectively) and between α-LA and fat percentage (r = 0.41). The present study paves the way for future studies on the associations between protein fractions and milk technological properties, and for the estimation of genetic parameters of predicted protein composition.

Details

Language :
English
ISSN :
20762615
Volume :
9
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Animals
Publication Type :
Academic Journal
Accession number :
edsdoj.fde4caf91cc8480c803c892d984bd92b
Document Type :
article
Full Text :
https://doi.org/10.3390/ani9040176