oru.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Milk metabolites and their genetic variability
Institute for Genetics and Biometry, Unit Biomathematics and Bioinformatics, Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany .
Institute for Genetics and Biometry, Unit Biomathematics and Bioinformatics, Leibniz Institute for Farm Animal Biology, Dummerstorf, Germany .
Max Planck Institute for Molecular Plant Physiology, Potsdam-Golm, Germany.
Max Planck Institute for Molecular Plant Physiology, Potsdam-Golm, Germany.
Vise andre og tillknytning
2013 (engelsk)Inngår i: Journal of Dairy Science, ISSN 0022-0302, E-ISSN 1525-3198, Vol. 96, nr 4, s. 2557-69Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The composition of milk is crucial to evaluate milk performance and quality measures. Milk components partly contribute to breeding scores, and they can be assessed to judge metabolic and energy status of the cow as well as to serve as predictive markers for diseases. In addition to the milk composition measures (e.g., fat, protein, lactose) traditionally recorded during milk performance test via infrared spectroscopy, novel techniques, such as gas chromatography-mass spectrometry, allow for a further analysis of milk into its metabolic components. Gas chromatography-mass spectrometry is suitable for measuring several hundred metabolites with high throughput, and thus it is applicable to study sources of genetic and nongenetic variation of milk metabolites in dairy cows. Heritability and mode of inheritance of metabolite measurements were studied in a linear mixed model approach including expected (pedigree) and realized (genomic) relationship between animals. The genetic variability of 190 milk metabolite intensities was analyzed from 1,295 cows held on 18 farms in Mecklenburg-Western Pomerania, Germany. Besides extensive pedigree information, genotypic data comprising 37,180 single nucleotide polymorphism markers were available. Goodness of fit and significance of genetic variance components based on likelihood ratio tests were investigated with a full model, including marker- and pedigree-based genetic effects. Broad-sense heritability varied from zero to 0.699, with a median of 0.125. Significant additive genetic variance was observed for highly heritable metabolites, but dominance variance was not significantly present. As some metabolites are particularly favorable for human nutrition, for instance, future research should address the identification of locus-specific genetic effects and investigate metabolites as the molecular basis of traditional milk performance test traits.

sted, utgiver, år, opplag, sider
New York, USA: Elsevier, 2013. Vol. 96, nr 4, s. 2557-69
Emneord [en]
metabolome, genomic relationship, single nucleotide polymorphism, heritability
HSV kategori
Identifikatorer
URN: urn:nbn:se:oru:diva-40718DOI: 10.3168/jds.2012-5635ISI: 000316772000056PubMedID: 23403187Scopus ID: 2-s2.0-84875504591OAI: oai:DiVA.org:oru-40718DiVA, id: diva2:778526
Tilgjengelig fra: 2015-01-10 Laget: 2015-01-10 Sist oppdatert: 2018-01-30bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstPubMedScopus

Personposter BETA

Repsilber, Dirk

Søk i DiVA

Av forfatter/redaktør
Repsilber, Dirk
I samme tidsskrift
Journal of Dairy Science

Søk utenfor DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 89 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf