Reference : Mid-infrared prediction of milk titratable acidity and its genetic variability in first-...
Scientific congresses and symposiums : Paper published in a book
Life sciences : Food science
Life sciences : Genetics & genetic processes
Life sciences : Animal production & animal husbandry
http://hdl.handle.net/2268/129986
Mid-infrared prediction of milk titratable acidity and its genetic variability in first-parity cows
English
Colinet, Frédéric mailto [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Vanlierde, Amélie [Université de Liège - ULg > Sciences Agronomiques > Zootechnie > 2e an. master bioingé. : sc. agrono., fin. spéc. >]
Vanden Bossche, sandrine [Université de Liège - ULg > Chimie et bio-industries > Laboratoire Qualité et sécurité des produits agro-aliment. >]
Sindic, Marianne mailto [Université de Liège - ULg > Chimie et bio-industries > Laboratoire Qualité et sécurité des produits agro-aliment. >]
Dehareng, Frédéric [Centre wallon des Recherches agronomiques > Département Valorisation des Productions Agricoles > > >]
Sinnaeve, Georges [Centre wallon des Recherches agronomiques > Département Valorisation des Productions Agricoles > > >]
Vandenplas, Jérémie mailto [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Soyeurt, Hélène mailto [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Bastin, Catherine mailto [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Gengler, Nicolas mailto [Université de Liège - ULg > Sciences agronomiques > Zootechnie >]
Aug-2012
Book of Abstracts of the 63rd Annual Meeting of the European Federation of Animal Science
Wageningen Academic Publishers
Book of abstracts No. 18
17
No
No
International
978-90-8686-206-1
Wageningen
The Netherlands
63rd Annual Meeting of the European Association for Animal Production
du 27 août 2012 au 30 août 2012
European Association for Animal Production
Bratislava
Slovakia
[en] Titratable acidity ; milk ; prediction ; holstein ; Mid Infrared
[en] Coagulation of milkhas a direct effect on cheese yield. Among several parameters, titratable acidity of milk (TA) influences all the phases of milk coagulation. In order to study the genetic variability of this trait on a large scale, mid-infrared (MIR) chemometric methods were used to predict TA. A total of 507 milk samples collected in the Walloon Region of Belgium from individual cows were analyzed using a MIR spectrometer. TA was recorded as Dornic degree. An equation to predict TA from milk MIR spectrum was developed using partial least squared regression after a first derivative pre-treatment applied to the spectra to correct the baseline drift. During the calibration process, 45 outliers were detected and removed from the calibration set. The TA mean of the final calibration set was 16.62 (standard deviation (SD) = 1.80). The coefficient of determination (R²) was 0.82 for the calibration with a standard error (SE) of 0.76. A cross-validation (cv) was performed (R²cv = 0.81 with SEcv = 0.80). This equation was then applied on the spectral database generated during the Walloon routine milk recording. The variances components were estimated by REML using single-trait random regression animal test-day model. The dataset used included 33,717 records from 9,191 Holstein first-parity cows; the TA mean was 17.05 (SD = 1.35) and TA ranged from 12.83 to 20.87. Estimated daily heritabilities ranged from 0.43 at 5th day in milk to 0.59 at 215th day in milk indicating potential of selection. Further research will study phenotypic and genetic correlations between TA and milk production traits.
EPAN - GAA
Fonds Européen de Développement Régional - FEDER ; Région wallonne : Direction Générale opérationnelle de l'Agriculture, des Ressources Naturelles et de l'Environnement - DGARNE
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/129986
http://www.wageningenacademic.com/_clientFiles/download/Eaap2012-e.pdf

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