scholarly journals Effect of DGAT1 polymorphisms on the estimated breeding values of Czech Simmental sires

2014 ◽  
Vol 59 (No. 8) ◽  
pp. 365-373 ◽  
Author(s):  
L. Hanusová ◽  
A. Míková ◽  
L. Večerek ◽  
D. Schroeffelová ◽  
V. Řehout ◽  
...  
Keyword(s):  
Milk Yield ◽  
Positive Association ◽  
Protein Yield ◽  
Coding Region ◽  
Fat Percentage ◽  
Breeding Values ◽  
Homozygous Genotype ◽  
Dgat1 Gene ◽  
Milk Performance ◽  
Estimated Breeding Values

The aim was to evaluate the effect of polymorphisms in the promoter and in the coding region of the DGAT1 gene on the estimated breeding values (EBV) of Czech Simmental sires. The K232A polymorphism (n = 191) in the coding region was genotyped by PCR/RFLP, and the KU and SA polymorphisms in the promoter (n = 203) were identified in an automatic sequencer. In the K232A polymorphism, the frequency of the genotype AA (Alanine) was greater than that of the genotype KA, the homozygous genotype KK (Lysine) was not found. Similarly, the allele A predominated over the K allele (0.945 and 0.055). The EBV for milk performance have been assigned to the genotypes, and the associations quantified. For the AA genotype and A allele, positive association with EBV of milk yield and protein yield was found, and negative association with the breeding values of fat percentage and yield, and protein percentage, but only the value of fat content was found to be significant. The positive non-significant association of the A variant with the protein yield was caused by the high milk yield. In the KU polymorphism, the CC genotype was associated significantly with lower EBV for the fat percentage, both the C allele and the CC genotype were associated with higher EBV for milk yield, so both the fat and the protein yield were non-significantly increased. For the diplotypes K232A/KU, there was a significant association with the fat percentage. The AACC combination seemed to have some breeding potential. The K232A polymorphism explained maximum of 6.2% of EBV variability, the KU polymorphism of 4.4%, and the SA polymorphism of 4.2%. The diplotypes K232A/KU explained maximum of 7.4% of variability. The highest proportion of variability was explained for fat percentage. The results confirmed the important role of the BTA14 region in controlling milk performance.  

scholarly journals The Breeding Values of German Holstein Sires and the <i>DGAT1</i> Polymorphism

2007 ◽  
Vol 50 (2) ◽  
pp. 136-146
Author(s):  
J. Citek ◽  
V. Rehout ◽  
E. Hradecka ◽  
L. Vecerek ◽  
L. Panicke
Keyword(s):  
Milk Yield ◽  
Genetic Background ◽  
Protein Yield ◽  
Breeding Value ◽  
Fat Percentage ◽  
Female Population ◽  
Breeding Values ◽  
Dgat1 Gene ◽  
Milk Performance ◽  
Fat Yield

Abstract. The effect of the genotypes and alleles at nucleotide positions 10433 and 10434 of the DGAT1 gene on the breeding values for milk performance of German Holstein sires born in 1993 (n=66), and in 1998-2001 (n=200) was analyzed. The differences in breeding values had in both years the same trend. In the younger sires, the breeding value for fat percentage was higher by 0.42 % in the Lysine homozygotes compared to the Alanine homozygotes (P<0.001). A higher milk breeding value in the Alanine homozygotes (811 kg) was found compared to the Lysine homozygotes (256 kg) (P<0.001), and the fat yield breeding value was higher in the Lysine sires (DGAT1K/DGAT1K 29.6, DGAT1A/DGAT1A 15.9). The breeding value for the protein percentage was higher in the sires carrying the Lysine variant (0.02) than in the Alanine homozygotes (- 0.03, P<0.05), and the protein yield was higher in the Alanine homozygotes (DGAT1K/DGAT1K 10.9, DGAT1A/DGAT1A 25.0, P<0.001). Because of the high emphasis of the index on the protein yield, the relative breeding value for milk was 110 among Alanine homozygotes, and 104 among Lysine. Comparing old and young sires, the genetic background against which the effect of DGAT1 is evaluated has changed. The selection on breeding value for protein yield increased the prevalence of DGAT1A/DGAT1A genotypes in protein and milk yield, and in relative breeding value for milk. In the old group, there was the highest protein yield in the heterozygous sires DGAT1KA, it could be explained by another genetic background of the tested female population. Because the breeding value for fat percentage of heterozygous sires has lain within the values of homozygotes in both old and young sires, we assume the intermediary heredity on the locus. The differences of genotypic and allelic frequencies among old and young sires were not significant, however, there was certain tendency of increase of allele A (0.60 old sires, 0.64 young). On the results of this paper, the locus of DGAT1 offers information for evaluation of breed animals.

DGAT1 polymorphism in Riverine buffalo, Swamp buffalo and crossbred buffalo

2018 ◽  
Vol 85 (4) ◽  
pp. 412-415 ◽  
Author(s):  
Jun Li ◽  
Shenhe Liu ◽  
Zipeng Li ◽  
Shujun Zhang ◽  
Guohua Hua ◽  
...  
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Buffalo Milk ◽  
Production Performance ◽  
Production Traits ◽  
Coding Region ◽  
Fat Percentage ◽  
Protein Percentage ◽  
Dgat1 Gene ◽  
Swamp Buffalo

This Research Communication describes the polymorphisms in the coding region of DGAT1 gene in Riverine buffalo, Swamp buffalo and crossbred buffalo, and associations between polymorphisms and milk production performance in Riverine buffalo. Two polymorphisms of DGAT1were identified, located in exon 13 and exon 17, respectively. The distribution of the genotypes of the two SNP loci in different buffalo population varied, especially the polymorphism located in exon 13 which was not found in the Swamp buffalo. Moreover, SNP located in exon 17 was a nonsynonymous switch resulting in the animo acid sequence changed from an arginine (Arg) to a histidine (His) at position 484. Both SNPs were in Hardy–Weinberg equilibrium, and the polymorphism of g.8330T>C in the exon 13 was significantly associated with peak milk yield, total milk yield and protein percentage. The C variant was associated with an increase in milk yield and peak yield but less in protein percentage compared with the T variant. The polymorphisms of g.9046T>C in exon 17 were significantly associated with fat percentage, in that the buffaloes with TT genotype had a significantly higher fat percentage than those with CC genotype. These findings reveal the difference in the genetic evolution of the DGAT1 between Riverine buffalo and Swamp buffalo, and provide evidence that the DGAT1 gene has potential effects for Riverine buffalo milk production traits, which can be used as a candidate gene for marker-assisted selection in buffalo breeding.

scholarly journals Associations between gene polymorphisms, breeding values, and glucose tolerance test parameters in German Holstein sires

2018 ◽  
Vol 63 (No. 5) ◽  
pp. 167-173
Author(s):  
J. Čítek ◽  
L. Hanusová ◽  
M. Brzáková ◽  
L. Večerek ◽  
L. Panicke ◽  
...  
Keyword(s):  
Glucose Tolerance ◽  
Gene Polymorphisms ◽  
Glucose Tolerance Test ◽  
Tolerance Test ◽  
Protein Yield ◽  
Breeding Value ◽  
Breeding Values ◽  
Test Parameters ◽  
Milk Performance ◽  
Estimated Breeding Values

The association between several gene polymorphisms, the estimated breeding values for milk performance traits, and glucose metabolism measured by the glucose tolerance test (GTT) in German Holstein sires were evaluated. Polymorphisms in DGAT1, GH1, GHR, FASN, and OLR1 genes were not associated with the GTT. A significant relationship was obtained for the DGAT1 AA/GC polymorphism and estimated breeding values for milk performance (milk yield, fat and protein yield, fat and protein percentage). The polymorphism in GHR was significantly associated with estimated breeding values for fat yield, and the polymorphism in OLR1 with estimated breeding value for protein yield. It shows the importance of the polymorphisms and makes their use in the breeding possible. GTT may be helpful in metabolic analyses, but the gene polymorphisms assessed in our study were not associated with GTT traits and further studies should examine other gene polymorphisms to support the role of GTT for potential breeding purposes.

scholarly journals Implementation of an Economic Lifetime Net Merit for the Dual-Purpose German Black Pied Cattle Breed

Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 41
Author(s):  
Saskia Meier ◽  
Danny Arends ◽  
Paula Korkuć ◽  
Sandra Kipp ◽  
Dierck Segelke ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Dairy Cattle ◽  
Milk Yield ◽  
Cattle Breed ◽  
Breeding Value ◽  
Dual Purpose ◽  
Breeding Values ◽  
Fitness Traits ◽  
Milk Performance ◽  
Estimated Breeding Values

Recently, a Total Merit Index (RZ€) has been developed for German Holstein dairy cattle on the basis of margin in Euro. Our aim was to adjust this lifetime net merit for the dual-purpose German Black Pied cattle breed (DSN) accounting for beef production in addition to milk performance and fitness traits. We used the estimated breeding values of DSN sires and developed a breeding value for carcass weight and quality. Furthermore, we adjusted the German Holstein marginal profits per standard deviation, which are used to calculate the estimated breeding values, to DSN-specific values. The DSN Net Merit is the sum of the three sub-indices DSN Net Milk, DSN Net Fitness, and DSN Net Beef, which contribute to the DSN Net Merit with 52.84%, 43.43%, and 3.73%, respectively. The DSN Net Merit that was calculated for 33 DSN sires ranged between EUR −1114 and +709. The DSN Net Merit strongly correlates with the Total Merit Index. The implementation of the DSN Net Merit is useful for selection and mating decisions. Especially, the sub-index DSN Net Beef, which does not correlate with existing breeding values, can be used to maintain the dual-purpose character of DSN while modestly improving milk yield. The approach can be easily adapted to other dual-purpose breeds.

scholarly journals Estimation and comparison of conventional and genomic breeding values in Holstein cattle of Antioquia, Colombia

2015 ◽  
pp. 4739-4753 ◽  
Author(s):  
Juan Zambrano A ◽  
Juan Rincón F ◽  
Albeiro López H ◽  
Julián Echeverri Z
Keyword(s):  
Linear Regression ◽  
Milk Yield ◽  
Conventional Method ◽  
Regression Coefficient ◽  
Rank Correlation ◽  
Breeding Value ◽  
Fat Percentage ◽  
Linear Regression Coefficient ◽  
Genomic Breeding ◽  
Breeding Values

ABSTRACT Objetive. To estimate and compare breeding values (EBV) using the conventional method (BLUP) and genomic breeding values (MEBV and GEBV) estimated through bayes C method for milk yield and milk quality traits in dairy cattle in Antioquia, Colombia. Materials and methods. Two methods were used to estimate breeding values: BLUP to estimate conventional breeding value (EBV) and bayes C to estimate genomic values (MEBV and GEBV). The traits evaluated were: milk yield (PL), protein percentage (PPRO), fat percentage (PGRA) and score somatic cell (SCS). The methods (BLUP and bayes C) were compared using Person correlation (rp), Spearman rank correlation (rs) and linear regression coefficient (b). Results. The Pearson and Spearman correlations among EBVs and genomic values (MEBV and GEBV) (rpMEBV;EBV and rsGEBV;EBV) were greater than 0.93 and the linear regression coefficients of EBVs on genomic values (MEBV and GEBV) (bMEBV;EBV, and bGEBV;EBV) ranged between 0.954 and 1.051 in all traits evaluated. Conclusions. The predictions of genomic values (MEBV and GEBV), using bayes C method were consistent with the predictions of the EBVs estimate through the conventional method (BLUP) in conditions of high Colombian tropic, allowing to obtain high associations between the breeding values.

scholarly journals Genetic and phenotypic trends for age at first calving and milk yield and compositions in Holstein dairy cows

2011 ◽  
Vol 54 (4) ◽  
pp. 338-347
Author(s):  
N. G. Hossein-Zadeh
Keyword(s):  
Milk Yield ◽  
The Other ◽  
Protein Yield ◽  
Fat Percentage ◽  
Milk Traits ◽  
Age At First Calving ◽  
Other Hand ◽  
Fat Yield ◽  
Over Time ◽  
Genetic Trends

Abstract. Calving records from the Animal Breeding Center of Iran collected from January 1990 to December 2007 and comprising 207 106 first calving events of Holsteins from 2 506 herds were analysed using linear sire models to estimate genetic trends for age at first calving (AFC) and milk traits. Genetic trends were obtained by regressing yearly mean estimates of breeding values on year of birth. In general, there were decreasing genetic trends for AFC, fat percentage and protein percentage over the years but there were increasing genetic trends for milk yield, mature-equivalent milk yield, fat yield, mature-equivalent fat yield, protein yield and mature-equivalent protein yield over the years. On the other hand, there was a decreasing phenotypic trend for AFC but estimates of phenotypic trends were positive for milk yield and compositions over the years. It seems that the decline in calving age in this study over time resulted primarily from increased turnover rate and increased culling of heifers that failed to get pregnant. On the other hand, increasing trend for yield traits over time in this study indicated that Iranian dairy producers were successful in choosing progressively better semen and sires from imported and local sources over the years.

scholarly journals Schätzung genetischer Parameter für Testtagsergebnisse von Milchleistungsmerkmalen bei Bunten Deutschen Edelziegen

2004 ◽  
Vol 47 (2) ◽  
pp. 193-202
Author(s):  
D. Bömkes ◽  
H. Hamann ◽  
O. Distl
Keyword(s):  
Protein Content ◽  
Milk Yield ◽  
Milk Fat ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Protein Yield ◽  
Lower Saxony ◽  
Genetic Progress ◽  
Performance Traits ◽  
Milk Performance

Abstract. Title of the paper: Estimation of genetic parameters for test day records of milk performance traits in German Improved Fawn The objectives of this study were to estimate genetic parameters for milk performance traits of German Improved Fawn by using univariate und multivariate animal models. The analysis was based on 27,778 test day records of 1,848 German Improved Fawn with 3,574 lactation records distributed over 229 flocks in Lower Saxony, Saxony and Baden-Wuerttemberg. Milk records were sampled between 1988 and 2002. The animals in our analysis were the progeny of 455 sires and 1.148 does. Heritabilities estimated with a multivariate test day model with fixed regression were h2 = 0.19, 0.16 and 0.15 for milk, fat and protein yield. For fat and protein content and Somatic Cell Score (SCS) heritabilities were h2 = 0.17, 0.14 and 0.16, respectively. The additive genetic correlations between milk yield and fat as well as protein yield of German Improved Fawn were very high and positive (rg = 0.84 and rg = 0.77). Milk yield and milk contents were genetically negative correlated with rg = −0.28 for fat and rg = −0.22 for protein content. A moderate additive genetic correlation (rg = 0.48) between fat and protein content was estimated. There were no considerable additive genetic correlations between fat yield and protein content as well as between fat content and protein yield (rg = 0.05 and rg = 0.09). Additive genetic correlations between milk, fat or protein yield and SCS were high and negative, whereas additive genetic correlations between fat or protein content and SCS were low and positive. The genetic parameters estimated from field test records allow to achieve genetic progress in milk performance traits of German Improved Fawn.

scholarly journals Reliability of breeding values between random regression and 305-day lactation models

2016 ◽  
Vol 51 (11) ◽  
pp. 1848-1856
Author(s):  
Alessandro Haiduck Padilha ◽  
◽  
Jaime Araujo Cobuci ◽  
Darlene dos Santos Daltro ◽  
José Braccini Neto
Keyword(s):  
Legendre Polynomials ◽  
Regression Models ◽  
Protein Yield ◽  
Random Regression ◽  
Holstein Cattle ◽  
Average Increase ◽  
Data Set ◽  
Breeding Values ◽  
Estimated Breeding Values ◽  
Genetic Evaluations

Abstract The objective of this work was to verify the gain in reliability of estimated breeding values (EBVs), when random regression models are applied instead of conventional 305-day lactation models, using fat and protein yield records of Brazilian Holstein cattle for future genetic evaluations. Data set contained 262,426 test-day fat and protein yield records, and 30,228 fat and protein lactation records at 305 days from first lactation. Single trait random regression models using Legendre polynomials and single trait lactation models were applied. Heritability for 305-day yield from lactation models was 0.24 (fat) and 0.17 (protein), and from random regression models was 0.20 (fat) and 0.21 (protein). Spearman correlations of EBVs, between lactation models and random regression models, for 305-day yield, ranged from 0.86 to 0.97 and 0.86 to 0.98 (bulls), and from 0.80 to 0.89 and 0.81 to 0.86 (cows), for fat and protein, respectively. Average increase in reliability of EBVs for 305-day yield of bulls ranged from 2 to 16% (fat) and from 4 to 26% (protein), and average reliability of cows ranged from 24 to 38% (fat and protein), which is higher than in the lactation models. Random regression models using Legendre polynomials will improve genetic evaluations of Brazilian Holstein cattle due to the reliability increase of EBVs, in comparison with 305-day lactation models.

scholarly journals Comparison of BLUP and Bayesian methods for different sizes of training population in genomic selection

2020 ◽  
Vol 44 (5) ◽  
pp. 994-1002
Author(s):  
Samet Hasan ABACI ◽  
Hasan ÖNDER
Keyword(s):  
Genomic Selection ◽  
Milk Yield ◽  
Predictive Ability ◽  
Breeding Value ◽  
Training Population ◽  
Breeding Values ◽  
Value Prediction ◽  
The Usa ◽  
Population Sizes ◽  
Estimated Breeding Values

This study aims to compare the accuracy of pedigree-based and genomic-based breeding value prediction for different training population sizes. In this study, Bayes (A, B, C, Cpi) and GBLUP methods for genomic selection and BLUP method for pedigree-based selection were used. Genomic and pedigree-based breeding values were estimated for partial milk yield (158 days) of Holstein cows (400 individuals) from a private enterprise in the USA. For this aim, populations were created for indirect breeding value estimates as training (322–360) and test (78–40) populations. In animals genotyped with a 54k SNP, the marker file was encoded as –10, 0, and 10 for AA, AB, and BB marker genotypes, respectively. Bayes and GBLUP methods were performed using GenSel 4.55 software. A total of 50,000 iterations were used, with the first 5000 excluded as the burn-in. Pedigree-based breeding values were estimated by REML using MTDFREML software employing an animal model. Correlations between partial milk yield and estimated breeding values were used to assess the predictive ability for methods. Bayes B method gave the highest accuracy for the indirect estimate of breeding value.

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