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

Buitenhuis, Bart; Sundekilde, Ulrik Kræmer; Poulsen, Nina Aagaard; Bertram, Hanne Christine; Larsen, Lotte Bach; Sørensen, Peter

doi:10.3168/jds.2012-5914

Cited by 55 publications

(76 citation statements)

References 48 publications

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“…NMR milk metabolomics coupled with genome-wide association studies (GWAS) has allowed the heritability of 31 milk metabolites to be estimated. The heritability of some molecules (lactic acid, isobutyrate, acetic acid, fumaric acid and galactose) were low (less than 0.11), but several were high, with orotic acid and β-hydroxybutyrate demonstrating heritability of 0.86 and 0.87, respectively [32]. This data suggests that it would be possible to breed animals that produced milk with more or less of these highly heritable molecules, which may have advantages in processing or human health.…”

Section: 1h Nmr Studiesmentioning

confidence: 99%

Applications of NMR in Dairy Research

Maher¹,

Rochfort

2014

Metabolites

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NMR is a robust analytical technique that has been employed to investigate the properties of many substances of agricultural relevance. NMR was first used to investigate the properties of milk in the 1950s and has since been employed in a wide range of studies; including properties analysis of specific milk proteins to metabolomics techniques used to monitor the health of dairy cows. In this brief review, we highlight the different uses of NMR in the dairy industry.

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Section: 1h Nmr Studiesmentioning

confidence: 99%

Applications of NMR in Dairy Research

Maher¹,

Rochfort

2014

Metabolites

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“…The calculation of the G-matrix, the estimation of the genomic heritability and the estimation of genomic correlations using a bivariate model were previously described in Buitenhuis et al [21]. …”

Section: Appendixmentioning

confidence: 99%

Genetic parameters for milk fatty acids in Danish Holstein cattle based on SNP markers using a Bayesian approach

et al. 2013

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BackgroundFor several years, in human nutrition there has been a focus on the proportion of unsaturated fatty acids (UFA) and saturated fatty acids (SFA) found in bovine milk. The positive health-related properties of UFA versus SFA have increased the demand for food products with a higher proportion of UFA. To be able to change the UFA and SFA content of the milk by breeding it is important to know whether there is a genetic component underlying the individual FA in the milk. We have estimated the heritability for individual FA in the milk of Danish Holstein. For this purpose we used information of SNP markers instead of the traditional pedigree relationships.ResultsEstimates of heritability were moderate within the range of 0.10 for C18:1 trans-11 to 0.34 for C8:0 and C10:0, whereas the estimates for saturated fatty acids and unsaturated fatty acids were 0.14 and 0.18, respectively. Posterior standard deviations were in the range from 0.07 to 0.17. The correlation estimates showed a general pattern of two groups, one group mainly consisting of saturated fatty acids and one group mainly consisting of unsaturated fatty acids. The phenotypic correlation ranged from −0.95 (saturated fatty acids and unsaturated fatty acids) to 0.99 (unsaturated fatty acids and monounsaturated fatty acids) and the genomic correlation for fatty acids ranged from −0.29 to 0.91.ConclusionsThe heritability estimates obtained in this study are in general accordance with heritability estimates from studies using pedigree data and/or a genomic relationship matrix in the context of a REML approach. SFA and UFA expressed a strong negative phenotypic correlation and a weaker genetic correlation. This is in accordance with the theory that SFA is synthesized de novo, while UFA can be regulated independently from the regulation of SFA by the feeding regime.

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“…The calculation of the genomic relationship matrix has been described in detail by Buitenhuis et al (2011). For each chromosome, a genomic relationship matrix as described by the first method presented in VanRaden (2008) was calculated as follows: Let M be a matrix with dimensions of the number of individuals (n) by the number of loci (m) that specifies which marker alleles each individual inherited.…”

Section: Calculation Of the G-matrixmentioning

confidence: 99%

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

et al. 2016

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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 polymorphismbased 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.

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

Cited by 55 publications

References 48 publications

Applications of NMR in Dairy Research

Applications of NMR in Dairy Research

Genetic parameters for milk fatty acids in Danish Holstein cattle based on SNP markers using a Bayesian approach

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

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