4th International Symposium for Agriculture and Food (ISAF-2022), Ohrid, Macedonia, 12 - 14 October 2022, vol.1, no.366, pp.301
In this study, Holstein and Jersey cows investigated the association of bovine PPARGC1A and
LTF gene polymorphisms with milk production and composition traits. A total of 200 Holstein
and Jersey cows, 100 from each breed, were used for the research. Total milk yield, 305-day,
and test-day milk yield data were recorded. Milk fat/protein yield and percentage were calculated.
The analysis also considered the lactation period, calving season, and service period. Genomic
DNA was extracted from whole blood samples by the phenol-chloroform-isoamyl alcohol
method. Genotyping was carried out by the PCR-RFLP method. Two polymorphisms were
evaluated at PPARGC1A and LTF genes located in intron 9 and 6, respectively. Genotypic/
allelic frequencies, compliance with Hardy-Weinberg Equilibrium, and population genetics parameters
were calculated. The general linear model procedure was used to reveal the effects
of each gene individually, and their interactions on the traits studied. Results revealed that the
genetic markers selected in this study were moderately informative and exhibited an admissible
genetic variation for the studied dairy cattle population. Novel associations were observed
for the PPARGC1A and LTF genes concerning milk production and composition traits. The
selected SNPs were located in the intronic regions. It is important to note that alterations in the
introns play essential roles in mRNA stability and alternative splicing. Thus, they can influence
phenotypic variation indisputably. This study may provide necessary knowledge on the genetic
markers affecting milk production and the selection strategies in dairy cattle.