Short communication: Evidence for a major gene by polygene interaction for milk production traits in German Holstein dairy cattle

Streit, M.; Neugebauer, N.; Meuwissen, T.H.E.; Bennewitz, J.

doi:10.3168/jds.2010-3834

Cited by 11 publications

(14 citation statements)

References 12 publications

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“…When the least square mean of the traits was considered (Table 2), genotype KK gives the most effect on milk composition content traits, while genotype AA has the most effect on milk yield and milk composition yield traits. This result was in accordance with the studies of Cardoso et al (2011), Streit et al (2011, Barbosa et al (2010), Banos et al (2008), Bennewitz et al (2004), Gautier et al (2007), Grisart et al (2002), Kuehn et al (2007), Spelman et al (2002), Thaller et al (2003), and Weller et al (2003) that found that this locus, particularly the KK genotype, has the effect of increasing fat content. These results suggest that the effect of the DGAT1 gene does not only affect milk fat content but also affects the milk composition, particularly, milk protein.…”

Section: Resultssupporting

confidence: 94%

“…These results contrast with the study of Schennink et al (2007) and Sun et al (2009). While the studies of Cardoso et al (2011) and Streit et al (2011) found that the K allele of the DGAT1 gene showed a significant association with milk production. Although the results from many studies are inconclusive, it is clear that the DGAT1 gene has a strong association with milk production and milk composition traits.…”

Section: Introductioncontrasting

confidence: 80%

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Effects of Acyl-CoA:diacylglycerol acyl transferase 1 (DGAT1) gene on milk production traits in crossbred Holstein dairy cattle

Molee

Duanghaklang

Na-Lampang

2011

Trop Anim Health Prod

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The objective of this study was to analyze and investigate the genotype frequency and the association between Acyl-CoA:diacylglycerol acyltransferase1 gene, DGAT1 gene, and milk yield (MY), milk composition, protein yield (PY), fat yield (FY), solid not fat yield (SNF), total solid (TS), the content of fat, protein, solid not fat, and total solid, (%Fat,%Prot,%SNF,%TS) in two herds of crossbred Holstein dairy cattle in Thailand. Two hundred and twenty-seven crossbred Holstein cows were used and their blood samples were taken for the study. PCR-RFLP was used to identify the allele and genotype of DGAT1 gene. A general linear model and the least square method were used to estimate the least square mean and additive, and the dominant effect of the gene on the traits and the least significant differences were used to compare the mean of each trait between genotypes. Two alleles (K, A) and three genotypes (AA, KA, KK) were detected, the highest allele and genotype frequencies were A and AA, respectively. The least mean squares of each genotype were compared and significant differences between genotype were detected. Genotype KK has the greatest effect on all milk composition content traits, while genotype AA has the greatest effect on yield traits. Highly significant additive gene effect was detected. From the results, it can be concluded that the DGAT1 gene can be used as a gene marker for assisted selection in milk composition traits.

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Section: Resultssupporting

confidence: 94%

Section: Introductioncontrasting

confidence: 80%

Effects of Acyl-CoA:diacylglycerol acyl transferase 1 (DGAT1) gene on milk production traits in crossbred Holstein dairy cattle

Molee

Duanghaklang

Na-Lampang

2011

Trop Anim Health Prod

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“…Pryce et al (2010) found more than 70 significant SNP effects on BTA14 that included the DGAT1 gene for milk production in dairy cattle (Grisart et al, 2002;Thaller et al, 2003). Streit et al (2011) investigated a major gene (DGAT1) by polygene interaction in German Holsteins and found that the interaction for milk yield was not significant although the interactions for fat percentage and protein percentage were significant. In BTA14, SNP variances for POORP, REPRO, DD, and MAST explained more than 1% of the total additive genetic variance in large NE herds.…”

Section: Snp Marker Estimatesmentioning

confidence: 96%

Genotype by environment interactions on culling rates and 305-day milk yield of Holstein cows in 3 US regions

Tsuruta¹,

Lourenço²,

Misztal³

et al. 2015

Journal of Dairy Science

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The objective of this study was to investigate genotype by environment interactions for culling rates and milk production in large and small dairy herds in 3 US regions, using genotypes, pedigree, and phenotypes. Single nucleotide polymorphism (SNP) marker variances were also estimated in these different environments. Culling rates including cow mortality were based on 6 Dairy Herd Improvement termination codes reported by dairy producers. Separate data sets for culling rates and 305-d milk yield were created for large and small dairy herds in the US regions of the Southeast (SE), Southwest (SW), and Northeast (NE) for the first 3 lactation cows that calved between 1999 and 2008. Genomic information from 42,503 SNP markers on 34,506 bulls was included in the analysis to predict genomic estimated breeding value (GEBV) of culling rates and 305-d milk yield with a single-step genomic BLUP using a bivariate threshold-linear model. Cow replacement rates in large SE and NE herds were higher. Heritability estimates of culling rates ranged from 0.03 to 0.11, but the differences were small between large and small herds and among the 3 US regions. Genetic correlations between culling rates and 305-d milk yield were medium to high for cows sold for poor production and reproduction problems. Correlations of GEBV for culling rates among the 3 US regions ranged from 0.34 to 0.92 and were lower between the SW and the other regions, especially in small herds. Correlations of GEBV between large and small herds ranged from 0.44 to 0.90 and were lower in the SW. These results indicate genotype by environment interactions of cow culling rate between the US regions and between large and small herds. Correlations of top 30 SNP marker effects for culling rates between 2 US regions ranged from 0.64 to 0.98 and were higher than those of more SNP marker effects except for a culling reason "sold for dairy purpose." Those correlations between large and small herds ranged from 0.67 to 0.98. High correlations of top SNP marker effects on culling reasons between the US regions and between large and small herds suggest that major markers can be useful for selection in different environments. The SNP variance shown in a marker gene segment on chromosome 14 was strongly associated with milk production in large and small herds in the NE but not in the SE and SW. Marker genes on chromosome 14 also showed a strong association with cow culling rates due to poor production and mortality in large herds in the NE.

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“…Bernabucci et al [ 5 ] concluded that the sampling station affects total protein concentration and acidity in milk, ranging from 3.2% to 6.0% and from 2.0% to 5.6%, respectively. Moreover, Streit et al [ 6 ] documented the importance of determining the alleles in the diacylglycerol O-acyltransferase 1 genotype in German Holstein sires to avoid differences that can be as high as 20% in the association of these alleles with milk production values as a result of the allele substitution effect.…”

Section: Introductionmentioning

confidence: 99%

Potential influence of κ-casein and β-lactoglobulin genes in genetic association studies of milk quality traits

Zepeda-Batista

Saavedra-Jiménez

Ruíz-Flores³

et al. 2017

Asian-Australas J Anim Sci

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ObjectiveFrom a review of published information on genetic association studies, a meta-analysis was conducted to determine the influence of the genes κ-casein (CSN3) and β-lactoglobulin (LGB) on milk yield traits in Holstein, Jersey, Brown Swiss, and Fleckvieh.MethodsThe GLIMMIX procedure was used to analyze milk production and percentage of protein and fat in milk. Models included the main effects and all their possible two-way interactions; not estimable effects and non-significant (p>0.05) two-way interactions were dropped from the models. The three traits analyzed used Poisson distribution and a log link function and were determined with the Interactive Data Analysis of SAS software. Least square means and multiple mean comparisons were obtained and performed for significant main effects and their interactions (p<0.0255).ResultsInteraction of breed by gene showed that Holstein and Fleckvieh were the breeds on which CSN3 (6.01%±0.19% and 5.98%±0.22%), and LGB (6.02%±0.19% and 5.70%±0.22%) have the greatest influence. Interaction of breed by genotype nested in the analyzed gene indicated that Holstein and Jersey showed greater influence of the CSN3 AA genotype, 6.04%±0.22% and 5.59%±0.31% than the other genotypes, while LGB AA genotype had the largest influence on the traits analyzed, 6.05%±0.20% and 5.60%±0.19%, respectively. Furthermore, interaction of type of statistical model by genotype nested in the analyzed gene indicated that CSN3 and LGB genes had similar behavior, maintaining a difference of more than 7% across analyzed genotypes. These results could indicate that both Holstein and Jersey have had lower substitution allele effect in selection programs that include CSN3 and LGB genes than Brown Swiss and Fleckvieh.ConclusionBreed determined which genotypes had the greatest association with analyzed traits. The mixed model based in Bayesian or Ridge Regression was the best alternative to analyze CSN3 and LGB gene effects on milk yield and protein and fat percentages.

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Short communication: Evidence for a major gene by polygene interaction for milk production traits in German Holstein dairy cattle

Cited by 11 publications

References 12 publications

Effects of Acyl-CoA:diacylglycerol acyl transferase 1 (DGAT1) gene on milk production traits in crossbred Holstein dairy cattle

Effects of Acyl-CoA:diacylglycerol acyl transferase 1 (DGAT1) gene on milk production traits in crossbred Holstein dairy cattle

Genotype by environment interactions on culling rates and 305-day milk yield of Holstein cows in 3 US regions

Potential influence of κ-casein and β-lactoglobulin genes in genetic association studies of milk quality traits

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