POPULATION CHARACTERISTICS AND THE CONCEPT OF GENE POOL CONSERVATION FOR THE OF HORSES OF THE NEWLY CREATED UKRAINIAN TROTTING BREED GROUP

DOI: 10.32900/2312-8402-2023-130-216-230

Tkachova Iryna,
Doctor of Agricultural Sciences, Senior Researcher,
https://orcid.org/0000-0002-4235-7257,
Livestock farming institute of NAAS of Ukraine,
Kharkiv, Ukraine,
Yusyuk-Omelnytska Tetyana,
PhD in Agricultural Sciences,
https://orcid.org/0000-0002-0309-7181,
SE "Konyarstvo Ukrainy",
Kyiv, Ukraine

Keywords: horses, Ukrainian trotting breed group, population characteristics, generation interval, inbreeding coefficient, preservation of the gene pool


Population characteristics were analyzed and specific features of the newly created Ukrainian trotting breed group of horses were revealed. The main conditions for stable preservation of the horse gene pool, risks and opportunities for the newly created Ukrainian trotting breed group are determined. The quantitative composition of the reproductive population of the Ukrainian trotting breed group of horses, which according to the FAO classification is in the status of “in a state of danger”, has been established. The basic population characteristics of the newly created breed group are described. The share of the breed group in the total of trotting horses of Ukraine, which is 37.2%, was determined, the amount of interbreeding improving crossbreeding with the American Standardbred and French trotting breeds was determined, and the expediency of its use was justified. The maximum number of generations in the breed – 11 – was observed in the Scotland line, a branch of Speedy Crown. The use of indicators, one of which is based on the generation interval, and the second is based on the inbreeding coefficient, made it possible to analyze the population and identify specific features of the Ukrainian trotting breed group of horses. The average annual yield of foals and the number of repair young ones were calculated to preserve the gene pool of the breed group at the current level. The generation interval for the breed group was L=11.57±0.98 years. It was determined that the generation interval between sires and their male offsprings is greater than between dams and male offsprings, and the generation interval between dams and female offsprings is greater than between sires and female offsprings. The effective number of the population, according to which the new breed group will develop qualitatively, is 688.2 horses of reproductive age. The increase in the inbreeding coefficient for one generation is ∆F=0.0063, and therefore, to prevent the growth of inbreeding, the increase in the effective size of the population per generation should be 79.4 heads. If the quantitative composition of the breed group does not increase, the population will lose 2.36% of genetic diversity in 10 generations.

References

Antoine Allier, Simon Teyssèdre, Christina Lehermeier, Laurence Moreau & Alain Charcosset (2020). Optimized breeding strategies to harness genetic resources with different performance levels. BMC Genomics Vol. 21, Article number: 349. doi.org/10.1186/s12864-020-6756-0

Arden W. R., Kapuscinski A. R. Demographic and genetic estimates of effective population size (Ne) reveals genetic compensation in steelhead trout. Mol. Ecol. Vol.12. 2003. P.35-49.

Babenko O., Bushtruk M., Stavetska R., Starostenko I., Tkachenko S., Klopenko N., Popova M., 2020. Age and sex features of organism non-specific resistance of Ukrainian riding horse. Journal of Central European Agriculture, 2020, 21(1), p.25-36. doi: /10.5513/jcea01/21.1.2323.

Baranovsky D. I., Brahinets O. M., Khokhlov A. M. Biometrics in the MS Excel environment: a tutorial. Kharkiv: SPD FO Brovin O.V., 2017. 90 p.

Bijma P., van Arendonk J.A.M., Woolliams J.A. Predicting rate of inbreeding for livestock improvement schemes. Journal of Animal Science. 2001; 79: 840–853. – ISSN 00218812. – DOI:10.2527/2001.794840x

British-Racing-Factsheet-October-2019.pdf

Equine Development. https://www.bef.co.uk/repository/EquineDevelopment/ Mid_Term_Review_Manifesto_for_the_Horse_V7_Jan_2017.pdf

Buffalo V. (2021). Quantifying the relationship between genetic diversity and population size suggests natural selection cannot explain Lewontin’s Paradox. Evolutionary Biology. 30 p. doi.org/10.7554/eLife.67509

Chujie Chen, Bo Zhu, Xiangwei Tang, Bin Chen, Mei Liu, Ning Gao, Sheng Li, Jingjing Gu. (2023). Genome-Wide Assessment of Runs of Homozygosity by Whole-Genome Sequencing in Diverse Horse Breeds Worldwide. Genes. Vol.: 14(6). № 1211. doi.org/10.3390/genes14061211

EQUO, The Horse Industry by the Numbers, 16 Jan. 2017. https://www.ridewithequo.com/blog/the-horse-industry-by-the-numbers#:~:text= There%20is%20an%20estimated%202,Age%20Range%3A%2038%20%E2%80%93%2045

FAO. Marker assisted selection current status and future perspectives in crops, livestock, forestry and fish. Ed. P. Elico Guimaraes. Rome, 2007; 470 p.

FAO. Breeding strategies for sustainable management of animal genetic resources. FAO: Guidelines for Livestock Production and Animal Health. Rome, 2010; 3:3.

FAO. The Second Report on the state of the world’s Animal Genetic Resourrces for Food and Agricultural: FAO Comission on genetic resources for food and agricultural. Assesments. 2015; 16 p.

Franklin I. R., Soule M. E., Wilcox B. A. Evolutionary change in small populations. Conservation Biology: an Evolutionary-Ecological Perspective. 1980; 135.

Fuping Zhao, Pengfei Zhang, Xiaoqing Wang, Deniz Akdemir, Dorian Garrick, Jun He, Lixian Wang. (2023). Genetic gain and inbreeding from simulation of diferent genomic mating schemes for pig improvement. Journal of Animal Science and Biotechnology. 14:87 doi.org/10.1186/s40104-023-00872-x

Haberland A. M., Konig von Borsrel U., Simianer H., Konig S. (2012). Integration of genomic information into sport horse breeding programs for optimization of accuracy of selection. Animal. 2012. Vol. 6:9, P.1369-1376.

Hered J., Esdaile E., Avila F., Bellone R.R. (2022). Analysis of Genetic Diversity in the American Standardbred Horse Utilizing Short Tandem Repeats and Single Nucleotide Polymorphisms. Journal of Heredity. 113(3): 238–247. doi: 10.1093/jhered/esab070

Hill W.G. Maintenance of quantitative genetic variation in animal breeding programmes. Livestock Production Science. 2000; V.63: 99-109. doi:10.1016/S0301-6226(99)00115-3.

https://worldpopulationreview.com/country-rankings/horse-population-by-country

http://www.biodiv.org

Kruglyak, O. V., & Martynyuk, I. S. (2016). Economic bases of gene pool of local and endangered breeds of farm animals species preservation in Ukraine. Animal Breeding and Genetics, 52, 211-220. https://doi.org/10.31073/abg.52.28

Maijala K. (1980). Monitoring animal genetic resources and criteria for priority order of endangered breeds. Haapatie 13.D., 00780 Helsinki, Finland. www.fao.org/3/t0665e/T0665E04.htm#note7

Moureaux S., Verrier E., Ricard A., Meriaux J.C. Genetic variability within French race and riding horse breeds from genealogical data and blood marker polymorphisms. Genetics Selection Evolution. 1996; Vol.28: 83-102. – ISSN 12979686. – DOI:10.1186/1297-9686-28-1-83.

Pashupati Chaudhary P., Bhatta S., Prasad Aryal K., Gauchan D. (2020). Threats, drivers and conservation imperative of agrobiodiversity. The Journal of Agriculture and Environment, Vol. 21:44-61. www.researchgate.net/publication/343670886

Petersen, J.L.; Coleman, S.J. (2020). Next-Generation Sequencing in Equine Genomics. Vet. Clin. N. Am. Equine Pract., 36, 195-209. doi.org/10.1016/j.cveq.2020.03.002

Rizzato, F., Zamuner, S., Pagnani, A., Laio, A. (2019). A common root for coevolution and substitution rate variability in protein sequence evolution. Scientific Reports. 9 (1): 18032. doi:10.1038/s41598-019-53958-w.

Scherf B., Pilling D. (2009). Basic demographic data – a prerequisite for effective management of animal genetic resources. Animal genetic resources information. Rome, Italy, 2009; Vol. 44: 1-6. doi:10.1017/S1014233900002819.

Schierenbeck S. (2011). Controlling inbreeding and maximizing genetic gain using semi-definite programming with pedigree-based and genomic relationships. Journal of Dairy Science 94(12):6143-52. doi:10.3168/jds.2011-4574

Strijak T.A., Labunets S.S., Labunets A.S., Tkachova I.V., Strijak V.V. Dibrivsky stud, history and modernity. Scientific and technical bulletin of Institute of animal sciences of NAAS. 2014. № 111. S.33-40.

Stolpovsky Yu. A., Zakharov-Gezekhus I. A. (2017). The problem of conservation of gene pools of domesticated animals. Vavilov Journal of Genetics and Breeding. 21(4):477-486. doi. 10.18699/VJ17.266

Suprun I.O. (2020). Genetic resources of trout horse breeding in Ukraine. Bulletein of the Sumy National Agrarian University. Series «Livestock», Iss. 3(42). P.67-76.

Tkachenko O.O., Tkachova I.V. Approbation of the Ukrainian trotting breed group of horses. Abstracts of reports. reporting science-practice conf. Luhansk National Agrarian University (Kharkiv, February 21-23, 2017). Kh..: “Miskdruk”, LNAU, 2017. С.40-42.

Tkachova I.V., Tkachenko O.O. (2019). Efficiency of interbreeding the Russian Trotter breed of the Ukrainian population with the French Trotter breed. Bulletein of the Sumy National Agrarian University. Series «Livestock», Iss. 1-2(36-37). P.95-101. doi.org/10.32845/bsnau.lvst.2019.1-2.14

Tkachova I.V. Selection analysis of the formation of the reproductive composition of the newly created Ukrainian trotting breed group of horses. Scientific and technical bulletin of the Animal Husbandry Institute of the National Academy of Sciences. Kharkiv, 2023. № 129. С.198-212. doi.org/10.32900/2312-8402-2023-129-198-212