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1.
Acta Vet Hung ; 66(2): 215-225, 2018 06.
Artigo em Inglês | MEDLINE | ID: mdl-29958517

RESUMO

The objective of this study was to estimate the effect of single-nucleotide polymorphisms (SNPs) on the breeding value of fertility (BVF) and the breeding value of beef (BVB) in Hungarian Simmental cattle. Genotypes were determined on a high-density Illumina Bovine DNA Chip. Data screening and data identification were performed by multi-locus mixed-model. Statistical analyses were carried out to find associations between individual genotypes and the investigated quality values. Three loci showed considerable association with BVF (-log10 P = 9.5, 9.9 and 14.5, respectively) on chromosomes 9, 28 and 29, respectively. The frequencies of their minor alleles (MAF) were 0.375, 0.355 and 0.354, respectively. Two loci showed association with BVB (-log10 P = 25.3 and 22.7) on chromosomes 2 and 11, respectively (their MAF were 0.438 and 0.229). The abovementioned loci provide a straightforward possibility to assist selection by molecular tools.


Assuntos
Cruzamento , Bovinos/genética , Fertilidade/genética , Polimorfismo de Nucleotídeo Único , Animais , Genótipo , Hungria
2.
Asian-Australas J Anim Sci ; 31(9): 1415-1419, 2018 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-29531185

RESUMO

OBJECTIVE: To estimate effect of single nucleotide polymorphisms on the intramuscular fat content (IMF) of Hungarian Simmental bulls. METHODS: Genotypes were determined on high-density Illumina Bovine DNA Chip. After slaughtering of animals, chemical percentage of intramuscular fat was determined from longissimus dorsi muscle. A multi-locus mixed-model was applied for statistical analyses. RESULTS: Analyses revealed four loci (rs43284251, rs109210955, rs41630030, and rs41642251) to be highly associated (-log10P>12) with IMF located on chromosome 1, 6, 13, and 17, respectively. The frequency of their minor alleles was 0.426, 0.221, 0.162, and 0.106. CONCLUSION: The loci above can be useful in selection programs and gives the possibility to assist selection by molecular tools.

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