The accuracy of genomic estimated breeding values (GEBV) was evaluated for sixteen meat quality traits in a Berkshire population (n = 1,191) that was collected from Dasan breeding farm, Namwon, Korea. The animals were genotyped with the Illumina porcine 62 K single nucleotide polymorphism (SNP) bead chips, in which a set of 36,605 SNPs were available after quality control tests. Two methods were applied to evaluate GEBV accuracies, i.e. genome based linear unbiased prediction method (GBLUP) and Bayes B, using ASREML 3.0 and Gensel 4.0 software, respectively. The traits composed different sets of training (both genotypes and phenotypes) and testing (genotypes only) data. Under the GBLUP model, the GEBV accuracies for the training data ranged from 0.42±0.08 for collagen to 0.75±0.02 for water holding capacity with an average of 0.65±0.04 across all the traits. Under the Bayes B model, the GEBV accuracy ranged from 0.10±0.14 for National Pork Producers Council (NPCC) marbling score to 0.76±0.04 for drip loss, with an average of 0.49±0.10. For the testing samples, the GEBV accuracy had an average of 0.46±0.10 under the GBLUP model, ranging from 0.20±0.18 for protein to 0.65±0.06 for drip loss. Under the Bayes B model, the GEBV accuracy ranged from 0.04±0.09 for NPCC marbling score to 0.72±0.05 for drip loss with an average of 0.38±0.13. The GEBV accuracy increased with the size of the training data and heritability. In general, the GEBV accuracies under the Bayes B model were lower than under the GBLUP model, especially when the training sample size was small. Our results suggest that a much greater training sample size is needed to get better GEBV accuracies for the testing samples.
Age at first calving is an important trait for achieving earlier reproductive performance. To detect quantitative trait loci (QTL) for reproductive traits, a genome wide association study was conducted on the 96 Hanwoo cows that were born between 2008 and 2010 from 13 sires in a local farm (Juk-Am Hanwoo farm, Suncheon, Korea) and genotyped with the Illumina 50K bovine single nucleotide polymorphism (SNP) chips. Phenotypes were regressed on additive and dominance effects for each SNP using a simple linear regression model after the effects of birth-year-month and polygenes were considered. A forward regression procedure was applied to determine the best set of SNPs for age at first calving. A total of 15 QTL were detected at the comparison-wise 0.001 level. Two QTL with strong statistical evidence were found at 128.9 Mb and 111.1 Mb on bovine chromosomes (BTA) 2 and 7, respectively, each of which accounted for 22% of the phenotypic variance. Also, five significant SNPs were detected on BTAs 10, 16, 20, 26, and 29. Multiple QTL were found on BTAs 1, 2, 7, and 14. The significant QTLs may be applied via marker assisted selection to increase rate of genetic gain for the trait, after validation tests in other Hanwoo cow populations.
The melanocortin 1 receptor (MC1R) gene can be considered a candidate functional gene for the pigmentation of plumage color. The aim of this study was to investigate the association between the genotype frequencies of g.69 T>C, g.376 G>A and g.427 A>G SNPs within the MC1R gene in Black silky (O), Golden duckwing Araucana (GA) and White Leghorn (W). The CC and AA genotype frequencies of g.69 T>C and g.427 A>G SNPs in White Leghorn (W) were both 1.000, and the TT genotype frequency of the g.69 T>C SNP in Golden duckwing Araucana (GA) was also 1.000. The GG and AA genotype frequencies of g.376 G>A and g.427 A>G SNPs in Black silky (O) were both 0.100. When a haplotype is observed using a combination of markers, a Golden duckwing Araucana (GA) can especially be distinguished when it is a TAG, TGG and TAA type in the SNP combination of the MC1R gene. In case of the CAA types, only White Leghorn (W) could specifically be distinguished. Therefore, three SNPs in MC1R may provide identification in chicken breeds.
A whole genome association (WGA) study was carried out to find quantitative trait loci (QTL) for sensory evaluation traits in Hanwoo. Carcass samples of 250 Hanwoo steers were collected from National Agricultural Cooperative Livestock Research Institute, Ansung, Gyeonggi province, Korea, between 2011 and 2012 and genotyped with the Affymetrix Bovine Axiom Array 640K single nucleotide polymorphism (SNP) chip. Among the SNPs in the chip, a total of 322,160 SNPs were chosen after quality control tests. After adjusting for the effects of age, slaughter-year-season, and polygenic effects using genome relationship matrix, the corrected phenotypes for the sensory evaluation measurements were regressed on each SNP using a simple linear regression additive based model. A total of 1,631 SNPs were detected for color, aroma, tenderness, juiciness and palatability at 0.1% comparison-wise level. Among the significant SNPs, the best set of 52 SNP markers were chosen using a forward regression procedure at 0.05 level, among which the sets of 8, 14, 11, 10, and 9 SNPs were determined for the respectively sensory evaluation traits. The sets of significant SNPs explained 18% to 31% of phenotypic variance. Three SNPs were pleiotropic, i.e. AX-26703353 and AX-26742891 that were located at 101 and 110 Mb of BTA6, respectively, influencing tenderness, juiciness and palatability, while AX-18624743 at 3 Mb of BTA10 affected tenderness and palatability. Our results suggest that some QTL for sensory measures are segregating in a Hanwoo steer population. Additional WGA studies on fatty acid and nutritional components as well as the sensory panels are in process to characterize genetic architecture of meat quality and palatability in Hanwoo.
ABSTRAT The Feather Color of chicken is considered as most obvious, and the purpose of this study is to identify the genotype following the SNP of MC1R, MITF and TYRP1, which are genes related to Feather Color, and develop a SNP marker that can be classified per breed. When a haplotype is observed through the combination of markers, a Korean Native Chicken can especially be distinguished when it is a CGG type in the SNP combination of the MC1R gene. In case of the TAG, TGG and TAA types, only Araucana was identified, and for the CAA type, Leghorn could specifically be distinguished. In the SNP combination of TYRP1 gene, only Leghorn was differentiated in case of the TTTCA and CCTCA types, and only Silky Fowl was identified in case of the CTTTA type. The SNP combination of MC1R gene enabled for Korean Native Chicken, Leghorn, and Araucana to be distinguished and each of the SNP and combination of TYRP1 gene allowed for all 4 breeds to be classified. If many researches are conducted about genetic polymorphism between breeds, then it is considered that the differences between breeds will be understood from a molecular biological aspect instead of simply distinguishing the breeds through Feather Color.
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