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Nina Aagaard Poulsen

Estimation of genetic parameters and detection of quantitative trait loci for metabolites in Danish Holstein milk

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Estimation of genetic parameters and detection of quantitative trait loci for metabolites in Danish Holstein milk. / Buitenhuis, Albert Johannes; Sundekilde, Ulrik; Poulsen, Nina Aagaard; Bertram, Hanne Christine S.; Larsen, Lotte Bach; Sørensen, Peter.

I: Journal of Dairy Science, Bind 96, Nr. 5, 2013, s. 3285 3295.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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@article{753fb38f9913407aa958c34f2dd79e9e,
title = "Estimation of genetic parameters and detection of quantitative trait loci for metabolites in Danish Holstein milk",
abstract = "Small components and metabolites in milk are significant for the utilization of milk, not only in dairy food production but also as disease predictors in dairy cattle. This study focused on estimation of genetic parameters and detection of quantitative trait loci for metabolites in bovine milk. For this purpose, milk samples were collected in mid lactation from 371 Danish Holstein cows in first to third parity. A total of 31 metabolites were detected and identified in bovine milk by using 1H nuclear magnetic resonance (NMR) spectroscopy. Cows were genotyped using a bovine high-density single nucleotide polymorphism (SNP) chip. Based on the SNP data, a genomic relationship matrix was calculated and used as a random factor in a model together with 2 fixed factors (herd and lactation stage) to estimate the heritability and breeding value for individual metabolites in the milk. Heritability was in the range of 0 for lactic acid to >0.8 for orotic acid and β-hydroxybutyrate. A single SNP association analysis revealed 7 genome-wide significant quantitative trait loci [malonate: Bos taurus autosome (BTA)2 and BTA7; galactose-1-phosphate: BTA2; cis-aconitate: BTA11; urea: BTA12; carnitine: BTA25; and glycerophosphocholine: BTA25]. These results demonstrate that selection for metabolites in bovine milk may be possible.",
keywords = "metabolite, quantitative trait loci, bovine milk, nuclear magnetic resonance spectroscopy",
author = "Buitenhuis, {Albert Johannes} and Ulrik Sundekilde and Poulsen, {Nina Aagaard} and Bertram, {Hanne Christine S.} and Larsen, {Lotte Bach} and Peter S{\o}rensen",
year = "2013",
doi = "10.3168/jds.2012-5914",
language = "English",
volume = "96",
pages = "3285 3295",
journal = "Journal of Dairy Science",
issn = "0022-0302",
publisher = "Elsevier Inc.",
number = "5",

}

RIS

TY - JOUR

T1 - Estimation of genetic parameters and detection of quantitative trait loci for metabolites in Danish Holstein milk

AU - Buitenhuis, Albert Johannes

AU - Sundekilde, Ulrik

AU - Poulsen, Nina Aagaard

AU - Bertram, Hanne Christine S.

AU - Larsen, Lotte Bach

AU - Sørensen, Peter

PY - 2013

Y1 - 2013

N2 - Small components and metabolites in milk are significant for the utilization of milk, not only in dairy food production but also as disease predictors in dairy cattle. This study focused on estimation of genetic parameters and detection of quantitative trait loci for metabolites in bovine milk. For this purpose, milk samples were collected in mid lactation from 371 Danish Holstein cows in first to third parity. A total of 31 metabolites were detected and identified in bovine milk by using 1H nuclear magnetic resonance (NMR) spectroscopy. Cows were genotyped using a bovine high-density single nucleotide polymorphism (SNP) chip. Based on the SNP data, a genomic relationship matrix was calculated and used as a random factor in a model together with 2 fixed factors (herd and lactation stage) to estimate the heritability and breeding value for individual metabolites in the milk. Heritability was in the range of 0 for lactic acid to >0.8 for orotic acid and β-hydroxybutyrate. A single SNP association analysis revealed 7 genome-wide significant quantitative trait loci [malonate: Bos taurus autosome (BTA)2 and BTA7; galactose-1-phosphate: BTA2; cis-aconitate: BTA11; urea: BTA12; carnitine: BTA25; and glycerophosphocholine: BTA25]. These results demonstrate that selection for metabolites in bovine milk may be possible.

AB - Small components and metabolites in milk are significant for the utilization of milk, not only in dairy food production but also as disease predictors in dairy cattle. This study focused on estimation of genetic parameters and detection of quantitative trait loci for metabolites in bovine milk. For this purpose, milk samples were collected in mid lactation from 371 Danish Holstein cows in first to third parity. A total of 31 metabolites were detected and identified in bovine milk by using 1H nuclear magnetic resonance (NMR) spectroscopy. Cows were genotyped using a bovine high-density single nucleotide polymorphism (SNP) chip. Based on the SNP data, a genomic relationship matrix was calculated and used as a random factor in a model together with 2 fixed factors (herd and lactation stage) to estimate the heritability and breeding value for individual metabolites in the milk. Heritability was in the range of 0 for lactic acid to >0.8 for orotic acid and β-hydroxybutyrate. A single SNP association analysis revealed 7 genome-wide significant quantitative trait loci [malonate: Bos taurus autosome (BTA)2 and BTA7; galactose-1-phosphate: BTA2; cis-aconitate: BTA11; urea: BTA12; carnitine: BTA25; and glycerophosphocholine: BTA25]. These results demonstrate that selection for metabolites in bovine milk may be possible.

KW - metabolite

KW - quantitative trait loci

KW - bovine milk

KW - nuclear magnetic resonance spectroscopy

U2 - 10.3168/jds.2012-5914

DO - 10.3168/jds.2012-5914

M3 - Journal article

C2 - 23497994

VL - 96

SP - 3285 3295

JO - Journal of Dairy Science

JF - Journal of Dairy Science

SN - 0022-0302

IS - 5

ER -