Polonca Margeta

Polonca Margeta

*This is an algorithmically generated author record based on publicly available information.

Polonca Margeta has a total of 13 co-authors. Here are the top co-authors by number of shared publications:

  • Biljana Rogic

    University of Banja Luka, Faculty of Agriculture, Banja Luka, Bosnia and Herzegovina

    1 shared publication
  • Danica Hanžek

    Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, V. Preloga 1, 31000 Osijek, Croatia

    1 shared publication
  • Gordana Kralik

    Josip Juraj Strossmayer University of Osijek, Faculty of Agrobiotechnical Sciences Osijek, V. Preloga 1, 31000 Osijek, Croatia

    1 shared publication
  • János Posta

    Department of Animal Science, Institute of Animal Science, Biotechnology and Nature Conservation, Faculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, 4032 Debrecen, Hungary

    1 shared publication
  • Ljuba Štrbac

    University of Novi Sad , Faculty of Agriculture , Trg Dositeja Obradovića 8 , Novi Sad , Serbia

    1 shared publication
  • Luboš Vostrý

    Department of Genetics and Breeding Faculty of Agrobiology, Food and Natural Resources Czech University of Life Sciences Prague Prague Czech Republic

    1 shared publication

Latest Publications

  • Open Access

    Genetic Diversity and Population Structure in Seven Lipizzan Populations Based on Microsatellite Genotyping

    by Biljana Rogić, Nina Moravčíková, Polonca Margeta, Ljuba Štrbac, Minja Zorc, Máté Kovács, Lubos Vostry, Radovan Kasarda, Janos Posta

    Lipizzan horses, bred for over four centuries, represent a unique genetic, cultural and historic resource. This study assessed genetic diversity and population structure across seven European Lipizzan populations, with emphasis on the Bosnia and Herzegovina population. A total of 547 Lipizzan horses were genotyped using 12 microsatellite markers. The parameters of genetic variability, admixture level and migration rate were calculated. The mean number of alleles, effective number of alleles and Shannon’s information index were 5.78, 3.24 and 1.31, respectively. The average fixation indices were estimated to be FIT = 0.05 (SE = 0.02), FIS = −0.02 (SE = 0.01), and FST = 0.07 (SE = 0.01). The level of genetic diversity observed within each Lipizzan horse subpopulation shows similar fluctuations, with the lowest values observed in Bosnia and Herzegovina and the highest in the Slovak Lipizzan population. The observed heterozygosity was lower than the expected heterozygosity. The Hardy–Weinberg equilibrium was maintained in Serbia, while minor deviations occurred in other populations, most notably in Slovakia. Nei’s genetic distances were highest between Slovakia and other populations, particularly Bosnia and Herzegovina. The population structure analysis confirmed admixture involving Bosnia and Herzegovina, and the migration pattern corresponded to geographic proximity and breeding practices. These findings provide a valuable basis for developing breeding strategies to reduce inbreeding and preserve genetic diversity.


  • Open Access

    Mitochondrial DNA D-loop Sequence Analysis of Busha Cattle

    by Polona Margeta, Vladimir Margeta

    Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, the scientific journal of the Mendel University in Brno, Czech Republic


  • Open Access

    Importance of sensory evaluation in assessment of egg quality

    by Polonca Margeta, Gordana Kralik, Manuela Grčević, Danica Hanžek, Zlata Kralik

    The sensory evaluation is a scientific discipline used to evoke, measure, analyze and interpret reactions to stimuli perceived through senses of sight, smell, touch, taste, and hearing. Sensory evaluation applies principles of experimental design and statistical analysis to the use of human senses aiming to isolate the sensory properties of foods themselves and provide important and useful information to product developers, food scientists, and managers about the sensory characteristics of food products. To achieve the scientific control of the sensory evaluation test, good laboratory practice should be applied. It includes defining the test objective and test type, selection of right assessors, ensuring right test area, handling and preparing the sample in appropriate way, paying attention to test set-up and storing the test data safe in logical order. Regarding eggs, sensory characteristics are usually evaluated on eggs enriched with bioactive compounds. Sensory studies are often conducted either with trained (in accordance with international reference standards) or untrained panelists. Sensory evaluation of eggs after addition of different compounds is of great importance because sensory attributes such as aroma, flavor, aftertaste and overall acceptability of enriched eggs are very important to consumers.