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Klaffenböck, M.; Steinwidder, Andreas; Fasching, C.; Terler, G.; Gruber, L.; Mészáros, G.; Sölkner, J.. |
The composition of cow milk is strongly affected by the feeding regimen. Because milk components are routinely determined using mid-infrared (MIR) spectrometry, MIR spectra could also be used to estimate an animal’s ration composition. The objective of this study was to determine whether and how well amounts of dry matter intake and the proportions of concentrates, hay, grass silage, maize silage, and pasture in the total ration can be estimated using MIR spectra at an individual animal level. A total of 10,200 milk samples and sets of feed intake data were collected from 90 dairy cows at 2 experimental farms of the Agricultural Research and Education Centre in Raumberg-Gumpenstein, Austria. For each run of analysis, the data set was split into a... |
Tipo: Journal paper |
Palavras-chave: Dairy cattle. |
Ano: 2017 |
URL: http://orgprints.org/32819/7/Klaffenbock%20et%20al..pdf |
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Steinwidder, Andreas; Klaffenböck, M.; Fasching, C.; Terler, G.; Gruber, L.; Mészáros, Dóra; Sölkner, J.. |
Milk composition of dairy animals is influenced by the composition of the ration fed. The objective of this study was to determine if the percentages and absolute amounts of hay, grass silage, pasture, maize silage and concentrate in the feed ration can be estimated using MIR spectrometry of milk. A total of 10200 milk samples from 90 dairy cows were collected, and the intakes of all ration components were measured. Using partial least squares regression (PLS), equations were developed to estimate ration compositions corresponding to each milk sample. To evaluate accuracy, the correlation between observed and estimated values (R) and ratio to performance (RPD) were used. Notable R values (for kg/for %) were observed for the ration proportion of pasture... |
Tipo: Conference paper, poster, etc. |
Palavras-chave: Dairy cattle; Feeding and growth. |
Ano: 2017 |
URL: http://orgprints.org/31958/1/Potenzial%20der%20Mid-Infrarot-Spektrometrie%20bei.pdf |
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Frischknecht, M.; Meuwissen, T.H.E.; Bapst, B.; Seefried, F.R.; Flury, C.; Garrick, D.; Signer-Hasler, H.; Stricker, C.; Consortium, Intergenomics; Bieber, Anna; Fries, R.; Russ, I.; Sölkner, J.; Bagnato, A.; Gredler-Grandl, B.. |
The accuracy of genomic prediction determines response to selection. It has been hypothesized that accuracy of genomic breeding values can be increased by a higher density of variants. We used imputed whole-genome sequence data and various single nucleotide polymorphism (SNP) selection criteria to estimate genomic breeding values in Brown Swiss cattle. The extreme scenarios were 50K SNP chip data and whole-genome sequence data with intermediate scenarios using linkage disequilibrium-pruned whole-genome sequence variants, only variants predicted to be missense, or the top 50K variants from genome-wide association studies. We estimated genomic breeding values for 3 traits (somatic cell score, nonreturn rate in heifers, and stature) and found differences in... |
Tipo: Journal paper |
Palavras-chave: Dairy cattle; Breeding and genetics. |
Ano: 2018 |
URL: http://orgprints.org/35104/1/Frischknecht-etal-2018-JDairySci-Vol101-Issue2-p1292-1296.pdf |
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