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

Krag, Kristian; Poulsen, Nina Aagaard; Larsen, Mette Krogh; Larsen, Lotte Bach; Janss, Luc; Buitenhuis, Bart

doi:10.1186/1471-2156-14-79

Cited by 53 publications

(59 citation statements)

References 22 publications

(53 reference statements)

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“…The milk data are generally in agreement with the values obtained in another study on Danish Holstein (Krag et al 2013b). The average CH 4 production was 395 g per day and the CH 4 production in grams per kilo ECM was 11.04.…”

Section: Resultssupporting

confidence: 80%

“…This methodology has successfully been applied to fatty acid concentrations in milk fat with moderate estimates of heritability ranging from 0.10 for C18:1 trans-11 to 0.34 for C8:0 and C10:0 (Krag et al 2013b). They showed that the SNP markers capture the population structure well and that SNP markers could be used as an alternative to traditional pedigree-based methods.…”

Section: Introductionmentioning

confidence: 94%

“…Due to the relative small datasets with CH 4 measures standard errors are usually high. Recently it was shown that single nucleotide polymorphism (SNP) information can be used to estimate the heritability in small datasets of~400 animals (Krag et al 2013a(Krag et al , 2013b.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Resultssupporting

confidence: 80%

Section: Introductionmentioning

confidence: 94%

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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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“…Genetic variability has been found to influence the presence of some fatty acids, mainly those originating from de novo mammary fatty acid synthesis (e.g., Stoop et al, 2008;Mele et al, 2009;Krag et al, 2013), and between-breed differences have been observed in milk fatty acid profiles (White et al, 2001;Kelsey et al, 2003;Maurice-Van Eijndhoven et al, 2011). Furthermore, high-level genetic correlations have been observed among fatty acid that share similar metabolic production pathways (Soyeurt et al, 2007;Stoop et al, 2008).…”

Section: Genetic and Environmental Relationships Of Detailed Milk Fatmentioning

confidence: 95%

Genetic and environmental relationships of detailed milk fatty acids profile determined by gas chromatography in Brown Swiss cows

Pegolo

Cecchinato

Casellas

et al. 2016

Journal of Dairy Science

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The aim of this study was to characterize the profile of 47 fatty acids, including conjugated linoleic acid (CLA), 13 fatty acid groups, and 5 Δ(9)-desaturation indices in milk samples from Brown Swiss cows. The genetic variation was assessed and the statistical relevance of the genetic background for each trait was evaluated using the Bayes factor test. The additive genetic, herd-date, and residual relationships were also estimated among all single fatty acids and groups of fatty acids. Individual milk samples were collected from 1,158 Italian Brown Swiss cows and a detailed analysis of fat percentages and milk fatty acid compositions was performed by gas chromatography. Bayesian animal models were used for (co)variance components estimation. Exploitable genetic variation was observed for most of the de novo synthesized fatty acids and saturated fatty acids, except for C4:0 and C6:0, whereas long-chain fatty acids and unsaturated fatty acids (including CLA) were mainly influenced by herd-date effects. Herd-date effect explained large portions of the total phenotypic variance for C18:2 cis-9,cis-12 (0.668), C18:3 cis-9,cis-12,cis-15 (0.631), and the biohydrogenation and elongation products of these fatty acids. The desaturation ratios showed higher heritability estimates than the individual fatty acids, except for CLA desaturation index (0.098). Among the medium-chain fatty acids, C12:0 had greater heritability than C14:0 (0.243 vs. 0.097, respectively). Both C14:0 and C16:0 showed negative additive genetic correlations with the main monounsaturated and polyunsaturated fatty acids of milk fat, suggesting that their synthesis in the mammary gland may be influenced by the presence of unsaturated fatty acids. No correlation was observed between C4:0 and the other short-chain fatty acids (except for C6:0), confirming the independence of C4:0 from de novo mammary fatty acid synthesis. Among the genetic correlations dealing with potentially beneficial fatty acids, C18:0 was positively correlated with vaccenic and rumenic acids and negatively with linoleic acid. Finally, fatty acids C6:0 through C14:0 showed relevant correlations due to unknown environmental effects, suggesting the potential existence of genetic variances in micro-environmental sensitivity. This study allowed us to acquire new knowledge about the genetic and the environmental relationships among fatty acids. Likewise, the existence of genetic variation for most of de novo synthetized fatty acids and saturated fatty acids was also observed. Overall, these results provide useful information to combine feeding with genetic selection strategies for obtaining a desirable milk fatty acids profile, depending on the origin of fatty acids in milk.

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“…Long-chain fatty acids are derived from blood lipids, which originate principally from the diet and endogenous lipids, and are characterized by low to medium heritability (Soyeurt et al, 2007;Stoop et al, 2008;Mele et al, 2009). Table 1 shows the descriptive statistics and heritability of selected fatty acids according to Krag et al (2013). Each fatty acid is presented by its mean (x ̅ ), standard deviation (s x ) and genomic heritability estimate (h g 2 ), respectively.…”

Section: Introductionmentioning

confidence: 99%

Selected candidate genes affecting milk fatty acids

Kala

Samková

Čítek³

2016

Acta fytotechn zootechn

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Cow´s milk consisted of relatively high quantity of saturated fatty acids (about 70 %), which are considered less beneficial health. The content of more desirable fatty acids is about 25 % (monounsaturated) and 5 % (polyunsaturated). The aim of this research was to find ways how to increase the content of mono-and polyunsaturated fatty acids in milk fat. One of the ways how to alter the content of fatty acids is the monitoring of candidate genes and their polymorphism. Therefore, the manuscript deals with selected candidate genes, particularly DGAT1, SCD1 and FASN, which are associated with fatty acid biosynthesis. The results suggest that observing of this issue could be helpful for improving the quality of milk fat.

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

Cited by 53 publications

References 22 publications

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

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

Genetic and environmental relationships of detailed milk fatty acids profile determined by gas chromatography in Brown Swiss cows

Selected candidate genes affecting milk fatty acids

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