Short communication: Selecting the most informative mid-infrared spectra wavenumbers to improve the accuracy of prediction models for detailed milk protein content-Reference-Cited by-同舟云学术

Short communication: Selecting the most informative mid-infrared spectra wavenumbers to improve the accuracy of prediction models for detailed milk protein content

Published:2016-03 Issue:3 Volume:99 Page:1853-1858
ISSN:0022-0302
Container-title:Journal of Dairy Science
language:en
Short-container-title:Journal of Dairy Science

Author:

Niero G.,Penasa M.,Gottardo P.,Cassandro M.,De Marchi M.

Funder

“Burbacco”

Publisher

American Dairy Science Association

Subject

Genetics,Animal Science and Zoology,Food Science

Reference24 articles.

1. A comparison of the composition, coagulation characteristics and cheesemaking capacity of milk from Friesian and Jersey dairy cows;Auldist;J. Dairy Res.,2004

2. Effectiveness of mid-infrared spectroscopy for the prediction of detailed protein composition and contents of protein genetic variants of individual milk of Simmental cows;Bonfatti;J. Dairy Sci.,2011

3. Invited review: Dairy intake and bone health: A viewpoint from the state of the art;Caroli;J. Dairy Sci.,2011

4. Elimination of uninformative variables for multivariate calibration;Centner;Anal. Chem.,1996

5. Effects of composite β- and κ-casein genotypes on milk coagulation, quality, and yield traits in Italian Holstein cows;Comin;J. Dairy Sci.,2008

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