Reference : Principal components approach for estimating heritability of mid-infrared spectrum in...
Scientific congresses and symposiums : Paper published in a journal
Life sciences : Animal production & animal husbandry
Life sciences : Food science
Life sciences : Genetics & genetic processes
http://hdl.handle.net/2268/24980
Principal components approach for estimating heritability of mid-infrared spectrum in bovine milk
English
Soyeurt, Hélène [Université de Liège - ULg > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >]
Tsuruta, Shogo [University of Georgia > Animal and Dairy Science > > >]
Misztal, Ignacy [University of Georgia > Animal and Dairy Science > > >]
Gengler, Nicolas mailto [Université de Liège - ULg > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech >]
Jul-2007
Journal of Dairy Science
American Dairy Science Association
85/90/86
Suppl. 1/ Suppl. 1/ Suppl. 1
J. Anim. Sci. Vol. 85, Suppl. 1/J. Dairy Sci. Vol. 90, Suppl. 1/Poult. Sci. Vol. 86, Suppl. 1
596-597
Yes (verified by ORBi)
No
International
0022-0302
1525-3198
Champaign
IL
2007 Annual meeting ADSA-APSA-AMPA-ASAS
8 - 12 July 2007
ADSA-APSA-AMPA-ASAS
San Antonio -TX
USA
[en] Mid-Infrared ; Milk ; Heritability
[en] Mid-Infrared spectrometry predicts the milk components (e.g., %fat, %protein) from spectral data reecting the milk composition. The data included 9,663 test days on 1,937 cows in 1 to 12 parity recorded from April 2005 to May 2006. Each sample was scanned by MilkoScan FT6000 into 1,060 points. Due to the high dimension, principal components approach (PCA) was done to reduce the traits and indicated that 48 principal components (PC) described 99.02% of information. These PC were analyzed by multi-trait REML using the canonical transformation. This analysis considered 2,850 rst lactation records for 738 cows in 7 breeds from 26 herds. Effects included in the multi-trait model were herd*test date, lactation stage, permanent environmental and animal random effects. The estimates of the variances were back transformed to the initial scales. Heritabilities varied from 0.005% to 57.20% for the different pin numbers. Spectral regions with heritability greater than 5% were located between 1 to 181; 194 to 558 and 709 to 1,060 pin numbers. PCA involving points in those regions demonstrated that only 9 PC explained 99.23% of information. MidInfrared spectrum contains specic regions with substantial genetic information potentially useful for selecting improved milk quality directly on spectral data.
Researchers ; Students
http://hdl.handle.net/2268/24980

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