Akademik Veri Yönetim Sistemi
Uluslararası Tıp ve Sağlık Bilimleri Kongresi'ne (INCOMES), İstanbul, Türkiye, 26 - 28 Nisan 2021, cilt.1, sa.114, ss.248-249
This study aimed to estimate the effects
of lactoferrin (LTF) and oxidized
low-density lipoprotein receptor 1 (OLR1)
genes on fattening performance and carcass traits. The analysis included a total
of 74 Simmental bulls that were raised in a private farm in the South Marmara
region of Turkey. Genomic DNA extraction was performed using the phenol-chloroform
method. A PCR-RFLP method using EcoRI
and PstI enzyme digestion was
employed to identify the genotypes in LTF
and OLR1, respectively. The
frequencies of genotypes and alleles were determined, and thus, population
genetic evaluation was performed including Hardy-Weinberg equilibrium, gene
heterozygosity, the number of effective alleles, polymorphism information
content, fixation index. The phenotypic traits analyzed were the final weight,
fattening period, total weight gain, average daily weight, hot carcass weight,
chilled carcass weight, dressing percentage, and chilling loss. The association
analysis was carried out using the least square methods of the general linear
model procedure. Results revealed that both loci showed deviations from
Hardy–Weinberg expectation (P<0.05).
In LTF, there were only three BB
animals and hence this genotype was excluded from the association analyses. Concerning
the OLR1 gene, the vast majority of
animals had the heterozygous genotype. Population genetic parameters indicated
that the LTF EcoRI and the OLR1 PstI
markers are moderately informative markers in Simmentals. The association
between OLR1 PstI polymorphism and dressing percentage was found to be
statistically significant (P<0.05).
The AA animals had a higher dressing percentage compared to the CC and
heterozygous genotype carriers. There was no significant association between
the LTF EcoRI polymorphism and any of the phenotypic traits analyzed in
this study. Although verification in further studies is needed, the present
analysis may be useful in the evaluation of the effective markers on the fattening
performance of cattle.