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Full-Text Articles in Medicine and Health Sciences
Across-Breed Genomic Prediction For Body Weight In Siberian Cattle Populations, Burak Karacaören
Across-Breed Genomic Prediction For Body Weight In Siberian Cattle Populations, Burak Karacaören
Turkish Journal of Veterinary & Animal Sciences
Body weight (BW) is an important heritable phenotype and related to other functional and production traits in cattle. The past decade has seen an increase in emphasis on genome wide association studies (GWAS) for detecting single nucleotide polymorphisms (SNPs) that are associated with quantitative phenotypes. Prediction of phenotypes using across-breed GWAS information [genomic prediction (GP)] is an also important research area but received less attention from the community. Understanding the link between major genes and common ancestors within and between breeds will contribute to a deeper understanding of GP across breeds. The aims of the present study were two-fold: 1) …
Comparison Of Blup And Bayesian Methods For Different Sizes Of Training Population Ingenomic Selection, Samet Hasan Abaci, Hasan Önder
Comparison Of Blup And Bayesian Methods For Different Sizes Of Training Population Ingenomic Selection, Samet Hasan Abaci, Hasan Önder
Turkish Journal of Veterinary & Animal Sciences
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 …
Functional And Whole Regression-Based Genome-Wide Association Analyses For Weightmeasurements Of Chicken Eggs, Burak Karacaören
Functional And Whole Regression-Based Genome-Wide Association Analyses For Weightmeasurements Of Chicken Eggs, Burak Karacaören
Turkish Journal of Veterinary & Animal Sciences
In genomic studies, complex traits can be modelled using repeated measures, thereby gaining a better understanding of the underlying biology. An increased number of measurements per individual might reduce measurement noise, thus increasing the likelihood of detecting true genomic signals. Here we aimed to predict genomic signals over a logistic curve referring to multiple underlying genetic architectures, for both simulated and longitudinal egg weight datasets. The chicken data were obtained from 92 sires and 801 dams of an 11th generation pure line, resulting in data from 1078 hens. We analysed longitudinal measurements of egg weights with 294,705 single nucleotide polymorphisms …