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

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 spectr...

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Main Authors: Marco Franzoi, Giovanni Niero, Giulio Visentin, Mauro Penasa, Martino Cassandro, Massimo De Marchi
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Animals
Subjects:
Online Access:https://www.mdpi.com/2076-2615/9/4/176
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author Marco Franzoi
Giovanni Niero
Giulio Visentin
Mauro Penasa
Martino Cassandro
Massimo De Marchi
author_facet Marco Franzoi
Giovanni Niero
Giulio Visentin
Mauro Penasa
Martino Cassandro
Massimo De Marchi
author_sort Marco Franzoi
collection DOAJ
description This study aimed to investigate factors affecting protein fractions, namely &#945;-casein (&#945;-CN), &#946;-casein (&#946;-CN), &#954;-casein (&#954;-CN), &#946;-lactoglobulin (&#946;-LG) and &#945;-lactalbumin (&#945;-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 (<i>r</i>) were estimated between &#946;-CN, &#954;-CN and &#946;-LG, expressed as percentage of crude protein, and milk urea nitrogen (<i>r</i> = 0.31, &#8722;0.20 and &#8722;0.26, respectively) and between &#945;-LA and fat percentage (<i>r</i> = 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.
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spelling doaj.art-fde4caf91cc8480c803c892d984bd92b2022-12-22T03:58:25ZengMDPI AGAnimals2076-26152019-04-019417610.3390/ani9040176ani9040176Variation of Detailed Protein Composition of Cow Milk Predicted from a Large Database of Mid-Infrared SpectraMarco Franzoi0Giovanni Niero1Giulio Visentin2Mauro Penasa3Martino Cassandro4Massimo De Marchi5Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell’Università 16, 35020 Legnaro (PD), ItalyDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell’Università 16, 35020 Legnaro (PD), ItalyAssociazione Nazionale Allevatori della Razza Frisona e Jersey Italiana, Via Bergamo 292, 26100 Cremona, ItalyDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell’Università 16, 35020 Legnaro (PD), ItalyDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell’Università 16, 35020 Legnaro (PD), ItalyDepartment of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell’Università 16, 35020 Legnaro (PD), ItalyThis study aimed to investigate factors affecting protein fractions, namely &#945;-casein (&#945;-CN), &#946;-casein (&#946;-CN), &#954;-casein (&#954;-CN), &#946;-lactoglobulin (&#946;-LG) and &#945;-lactalbumin (&#945;-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 (<i>r</i>) were estimated between &#946;-CN, &#954;-CN and &#946;-LG, expressed as percentage of crude protein, and milk urea nitrogen (<i>r</i> = 0.31, &#8722;0.20 and &#8722;0.26, respectively) and between &#945;-LA and fat percentage (<i>r</i> = 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.https://www.mdpi.com/2076-2615/9/4/176paritydays in milklactationcaseinlactoglobulin
spellingShingle Marco Franzoi
Giovanni Niero
Giulio Visentin
Mauro Penasa
Martino Cassandro
Massimo De Marchi
Variation of Detailed Protein Composition of Cow Milk Predicted from a Large Database of Mid-Infrared Spectra
Animals
parity
days in milk
lactation
casein
lactoglobulin
title Variation of Detailed Protein Composition of Cow Milk Predicted from a Large Database of Mid-Infrared Spectra
title_full Variation of Detailed Protein Composition of Cow Milk Predicted from a Large Database of Mid-Infrared Spectra
title_fullStr Variation of Detailed Protein Composition of Cow Milk Predicted from a Large Database of Mid-Infrared Spectra
title_full_unstemmed Variation of Detailed Protein Composition of Cow Milk Predicted from a Large Database of Mid-Infrared Spectra
title_short Variation of Detailed Protein Composition of Cow Milk Predicted from a Large Database of Mid-Infrared Spectra
title_sort variation of detailed protein composition of cow milk predicted from a large database of mid infrared spectra
topic parity
days in milk
lactation
casein
lactoglobulin
url https://www.mdpi.com/2076-2615/9/4/176
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