Paper published in a book (Scientific congresses and symposiums)
Mid-infrared predictions of cheese yield from bovine milk
Vanlierde, Amélie; Soyeurt, Hélène; Anceau, Christine et al.
2011In Book of Abstracts of the 62nd Annual Meeting of the European Association for Animal Production
Peer reviewed
 

Files


Full Text
Mid-infrared predictions of cheese yield from bovine milk.pdf
Publisher postprint (649.09 kB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Cheese yield; MIR; Prediction
Abstract :
[en] Economically, cheese yield (CY) is very important. Todate, empirical or theoretical formulae allow estimating the theoretical CY from milk fat and casein or protein content of milk. It would be interesting to predict CY during milk recording directly without the need to estimate milk components. Through the BlueSel project, 157 milk samples were collected in Wallonia from individual cows and analyzed using a mid-infrared (MIR) MilkoScanFT6000 spectrometer. Individual laboratory cheese yields (ILCY) were determined for each sample and expressed as g of dry coagulum/100 g of milk dry matter. An equation to predict ILCY from MIR was developed using partial least squared regression (Winisi III). A first derivative pre-treatment of spectra was used to correct the baseline drift. To improve the repeatability of the spectral data, a file which contained the spectra of samples analyzed on 5 spectrometers was used during the calibration. During calibration, 23 outliers were detected a nd removed from the calibration set. The ILCY mean of the final calibration set was 63.9% with a SD of 11.2%. The calibration (C) coefficient of determination (R²) was equal to 0.76 with a standard error (SE) of calibration of 5.5%. A full cross-validation (CV) was preformed to assess the robustness. R²cv was 0.72 with a SECV of 6.0%. The similarity between R²c and R²cv as well as between SEC and SECV permits to consider robustness of the developed equation as good. Even if it is planned to improve the equation with additional samples, this first equation will permit to study ILCY in the Walloon dairy cattle.
Research center :
EPAN - GAA
Disciplines :
Food science
Animal production & animal husbandry
Genetics & genetic processes
Author, co-author :
Vanlierde, Amélie ;  Université de Liège - ULiège > Sciences agronomiques > Zootechnie > 2e an. master bioingé. : sc. agrono., fin. spéc.
Soyeurt, Hélène  ;  Université de Liège - ULiège > Sciences agronomiques > Zootechnie
Anceau, Christine ;  Université de Liège - ULiège > Chimie et bio-industries > Technologie des industries agro-alimentaires
Dehareng, Frédéric  ;  Centre wallon des Recherches agronomiques > Département Valorisation des Produits Agricoles
Dardenne, Pierre;  Centre wallon des Recherches agronomiques > Département Valorisation des Produits Agricoles
Gengler, Nicolas  ;  Université de Liège - ULiège > Sciences agronomiques > Zootechnie
Sindic, Marianne  ;  Université de Liège - ULiège > Chimie et bio-industries > Technologie des industries agro-alimentaires
Colinet, Frédéric ;  Université de Liège - ULiège > Sciences agronomiques > Zootechnie
Language :
English
Title :
Mid-infrared predictions of cheese yield from bovine milk
Publication date :
August 2011
Event name :
62nd Annual Meeting of the European Association for Animal Production
Event organizer :
EAAP - European Federation of Animal Science
Event place :
Stavanger, Norway
Event date :
29 August - 02 September 2011
Audience :
International
Main work title :
Book of Abstracts of the 62nd Annual Meeting of the European Association for Animal Production
Publisher :
Wageningen Academic Publishers, Wageningen, Netherlands
Edition :
Stavanger 2011
ISBN/EAN :
978-90-8686-177-4
Collection name :
Nº. 17
Pages :
218
Peer reviewed :
Peer reviewed
Funders :
FEDER - Fonds Européen de Développement Régional [BE]
SPW DG03-DGARNE - Service Public de Wallonie. Direction Générale Opérationnelle Agriculture, Ressources naturelles et Environnement [BE]
Available on ORBi :
since 06 September 2011

Statistics


Number of views
168 (12 by ULiège)
Number of downloads
0 (0 by ULiège)

Bibliography


Similar publications



Contact ORBi