The aim of this study was to predict the genomic breeding value (DGV) of production, selected conformation and reproductive traits, and somatic cell score of dairy cattle in Poland using high-frequency marker haplotypes. The dataset consisted of phenotypic, genotypic, and pedigree data of 1216 Polish Holstein-Friesian bulls. The genotypic data consisted of 54,000 single-nucleotide polymorphisms (SNPs).
View Article and Find Full Text PDFUse of information theory can be an alternative statistical approach to detect genome regions and candidate genes that are associated with livestock traits. The aim of this study was to verify the validity of the SNPs effects on some semen quality variables of bulls using entropy analysis. Records from 288 Holstein-Friesian bulls from one AI station were included.
View Article and Find Full Text PDFThe aim of the study was to screen the entire bull genome to identify SNP markers and propose candidate genes potentially involved in the variation of sperm membrane integrity in Holstein-Friesian bulls. Two hundred eighty eight bulls kept in one AI center were included in the study. Each bull was genotyped for 54.
View Article and Find Full Text PDFBackground: About 5-6% of the European bison (Bison bonasus) males are affected by posthitis (necrotic inflammation of the prepuce) and die in the wild forest. Despite many years of study, pathogenesis of this disease has not yet been determined. The main aim of the study was to find SNP markers significantly associated with the incidence of posthitis and mine the genome for candidate genes potentially involved in the development of the disease.
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