Author
Listed:
- Gábor Mészáros
(University of Natural Resources & Life Sciences Vienna, Vienna, Austria)
- Birgit Fürst-Waltl
(University of Natural Resources & Life Sciences Vienna, Vienna, Austria)
- Johann Sölkner
(University of Natural Resources & Life Sciences Vienna, Vienna, Austria)
- Hana Vostrá-Vydrová
(Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic)
- Jan Calta
(Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic)
- Milena Đokić
(Biotechnical Faculty, University of Montenegro, Podgorica, Montenegro)
- Božidarka Marković
(Biotechnical Faculty, University of Montenegro, Podgorica, Montenegro)
- Dragan Stanojević
(Faculty of Agriculture, University of Belgrade, Belegrade, Serbia)
- Vladan Bogdanovic
(Faculty of Agriculture, University of Belgrade, Belegrade, Serbia)
- Nina Moravčíková
(Faculty of Agrobiology and Food Resources, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic)
- Monika Chalupková
(Faculty of Agrobiology and Food Resources, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic)
- Adrián Halvoník
(Faculty of Agrobiology and Food Resources, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic)
- Radovan Kasarda
(Faculty of Agrobiology and Food Resources, Slovak University of Agriculture in Nitra, Nitra, Slovak Republic)
- Luboš Vostrý
(Faculty of Agrobiology, Food and Natural Resources, Czech University of Life Sciences Prague, Prague, Czech Republic)
Abstract
Monitoring the genetic diversity in livestock is a critical component for sustainable management of small and endangered breeds. In this paper we follow up the two most often used metrics of genetic diversity, the average inbreeding coefficients (F) and the effective population (Ne) size in 16 sheep breeds from four countries. The analysis was based on single nucleotide polymorphism (SNP) markers, with about 35 to 49 thousand SNPs and 19 to 98 individuals after quality control. The runs of homozygosity (ROH) method with the cgaTOH software was used to estimate FROH, for three different time points in the past (3, 6 and 12 generations before present). Three methods were implemented to estimate Ne, using the NeEstimator v2, GONE and CurrentNe software for different time spans in the past. The average FROH ranged between 0.001 and 0.035 for 3 generations, 0.003 and 0.059 for 6 generations, 0.005 and 0.074 for 12 generations in the past. The wide range of inbreeding coefficients might be a consequence of different population sizes and breed management strategies in the respective countries. The results for Ne ranged from 7 to 352 for NeEstimator, 25 to 303 for GONE, and 15 to 542 for CurrentNe. Overall, the software showed comparable results for 10 out of 16 breeds, and significantly different results for at least one software for at least one of the methods for 6 out of 16 breeds. These differences show a degree of uncertainty in Ne estimations for certain breeds. Overall, we suggest the continued monitoring of sheep breeds, ideally by routine genotyping in all populations. This monitoring is especially important for small breeds with a greater decline in genetic diversity.
Suggested Citation
Gábor Mészáros & Birgit Fürst-Waltl & Johann Sölkner & Hana Vostrá-Vydrová & Jan Calta & Milena Đokić & Božidarka Marković & Dragan Stanojević & Vladan Bogdanovic & Nina Moravčíková & Monika Chalupkov, 2025.
"Genomic diversity characteristics of sheep populations in the Czech Republic, Slovakia, Serbia and Montenegro,"
Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 70(6), pages 234-241.
Handle:
RePEc:caa:jnlcjs:v:70:y:2025:i:6:id:69-2025-cjas
DOI: 10.17221/69/2025-CJAS
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:caa:jnlcjs:v:70:y:2025:i:6:id:69-2025-cjas. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ivo Andrle (email available below). General contact details of provider: https://www.cazv.cz/en/home/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.