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Nina Aagaard Poulsen

Genetic and genomic relationship between methane production measured in breath and fatty acid content in milk samples from Danish Holsteins

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Genetic and genomic relationship between methane production measured in breath and fatty acid content in milk samples from Danish Holsteins. / Lassen, J.; Poulsen, N. A.; Larsen, Mette Krogh; Buitenhuis, A. J.

I: Animal Production Science, Bind 56, Nr. 2-3, 2016, s. 298-303.

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

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@article{2500ef089e454c7fa60efb2f82e8d63c,
title = "Genetic and genomic relationship between methane production measured in breath and fatty acid content in milk samples from Danish Holsteins",
abstract = "In this study the objective was to estimate the genetic and genomic relationship between methane-related traits and milk fatty acid profiles. This was done using two different estimation procedures: a single nucleotide polymorphism-based genomic relationship matrix and a classical pedigree-based relationship matrix. Data was generated on three Danish Holstein herds and a total of 339 cows were available for the study. Methane phenotypes were generated in milking robots during milking over a weekly period and the milk phenotypes were quantified from milk from one milking. Genetic and genomic parameters were estimated using a mixed linear model. Results showed that heritability estimates were comparable between models, but the standard error was lower for genomic heritabilities compared with genetic heritabilities. Genetic as well as genomic correlations were highly variable and had high standard errors, reflecting a similar pattern as for the heritability estimates with lower standard errors for the genomic correlations compared with the pedigree-based genetic correlations. Many of the correlations though had a magnitude that makes further studies on larger datasets worthwhile. The results indicate that genotypes are highly valuable in studies where limited number of phenotypes can be recorded. Also it shows that there is some significant genetic association between methane in the breath of the cow and milk fatty acids profiles.",
keywords = "correlations, dairy cattle, fatty acids, heritability, methane, DAIRY-COWS, BAYESIAN-APPROACH, CATTLE, HERITABILITY, PARAMETERS",
author = "J. Lassen and Poulsen, {N. A.} and Larsen, {Mette Krogh} and Buitenhuis, {A. J.}",
year = "2016",
doi = "10.1071/AN15489",
language = "English",
volume = "56",
pages = "298--303",
journal = "Animal Production Science",
issn = "1836-0939",
publisher = "C S I R O Publishing",
number = "2-3",

}

RIS

TY - JOUR

T1 - Genetic and genomic relationship between methane production measured in breath and fatty acid content in milk samples from Danish Holsteins

AU - Lassen, J.

AU - Poulsen, N. A.

AU - Larsen, Mette Krogh

AU - Buitenhuis, A. J.

PY - 2016

Y1 - 2016

N2 - In this study the objective was to estimate the genetic and genomic relationship between methane-related traits and milk fatty acid profiles. This was done using two different estimation procedures: a single nucleotide polymorphism-based genomic relationship matrix and a classical pedigree-based relationship matrix. Data was generated on three Danish Holstein herds and a total of 339 cows were available for the study. Methane phenotypes were generated in milking robots during milking over a weekly period and the milk phenotypes were quantified from milk from one milking. Genetic and genomic parameters were estimated using a mixed linear model. Results showed that heritability estimates were comparable between models, but the standard error was lower for genomic heritabilities compared with genetic heritabilities. Genetic as well as genomic correlations were highly variable and had high standard errors, reflecting a similar pattern as for the heritability estimates with lower standard errors for the genomic correlations compared with the pedigree-based genetic correlations. Many of the correlations though had a magnitude that makes further studies on larger datasets worthwhile. The results indicate that genotypes are highly valuable in studies where limited number of phenotypes can be recorded. Also it shows that there is some significant genetic association between methane in the breath of the cow and milk fatty acids profiles.

AB - In this study the objective was to estimate the genetic and genomic relationship between methane-related traits and milk fatty acid profiles. This was done using two different estimation procedures: a single nucleotide polymorphism-based genomic relationship matrix and a classical pedigree-based relationship matrix. Data was generated on three Danish Holstein herds and a total of 339 cows were available for the study. Methane phenotypes were generated in milking robots during milking over a weekly period and the milk phenotypes were quantified from milk from one milking. Genetic and genomic parameters were estimated using a mixed linear model. Results showed that heritability estimates were comparable between models, but the standard error was lower for genomic heritabilities compared with genetic heritabilities. Genetic as well as genomic correlations were highly variable and had high standard errors, reflecting a similar pattern as for the heritability estimates with lower standard errors for the genomic correlations compared with the pedigree-based genetic correlations. Many of the correlations though had a magnitude that makes further studies on larger datasets worthwhile. The results indicate that genotypes are highly valuable in studies where limited number of phenotypes can be recorded. Also it shows that there is some significant genetic association between methane in the breath of the cow and milk fatty acids profiles.

KW - correlations

KW - dairy cattle

KW - fatty acids

KW - heritability

KW - methane

KW - DAIRY-COWS

KW - BAYESIAN-APPROACH

KW - CATTLE

KW - HERITABILITY

KW - PARAMETERS

U2 - 10.1071/AN15489

DO - 10.1071/AN15489

M3 - Journal article

VL - 56

SP - 298

EP - 303

JO - Animal Production Science

JF - Animal Production Science

SN - 1836-0939

IS - 2-3

ER -