scholarly journals Osudy koní Převalského (Equus przewalskii) importovaných z volné přírody (Perissodactyla: Equidae)

2021 ◽  
Vol 51 (1) ◽  
pp. 193-202
Author(s):  
Jiří Volf
Keyword(s):  

At the turn of the 19th and 20th centuries, 54 Przewalski’s horses were imported alive to Europe in five transports. Only twelve of them (6 ♂♂, 6 ♀♀) have bred. The earliest birth occurred in a mare at the age of five years and the oldest mare gave birth at the age of 17 years, always during the period from spring to autumn. The most fertile stallion was a father of ten foals and the most fertile mare gave birth to eight foals. Longevity was relatively high; three stallions reached the age over 20 years, the oldest one of 28 years. Cadavers of individuals imported from nature and registered in the pedigree-book are listed, they represent less than a half of all registered individuals officially imported to Europe.

2019 ◽  
Vol 64 (No. 2) ◽  
pp. 67-77
Author(s):  
L. Putnová ◽  
R. Štohl ◽  
I. Vrtková

Based on a data set comprising 2879 animals and 17 nuclear microsatellite DNA markers, we propose the most comprehensive in-depth study mapping the genetic structure and specifying the assignment success rates in horse breeds at the Czech population scale. The STRUCTURE program was used to perform systematic Bayesian clustering via the Markov chain Monte Carlo estimation, enabling us to explain the population stratification and to identify genetic structure patterns within breeds worldwide. In total, 182 different alleles were found over all the populations and markers, with the mean number of 10.7 alleles per locus. The expected heterozygosity ranged from 0.459 (Friesian) to 0.775 (Welsh Part Bred), and the average level reached 0.721. The average observed heterozygosity corresponded to 0.709, with the highest value detected in the Czech Sport Pony (0.775). The largest number of private alleles was found in Equus przewalskii. The population inbreeding coefficient F<sub>IS</sub> ranged from –0.08 in the Merens to 0.14 in the Belgian Warmblood. The total within-population inbreeding coefficient was estimated to be moderate. As expected, very large genetic differentiation and small gene flow were established between the Friesian and Equus przewalskii (F<sub>ST </sub>= 0.37, Nm = 0.43). Zero F<sub>ST</sub> values indicated no differences between the Czech Warmblood–Slovak Warmblood and the Czech Warmblood–Bavarian Warmblood. A high level of breeding and connectivity was revealed between the Slovak Warmblood–Bavarian Warmblood, Dutch Warmblood–Oldenburg Horse, Bavarian Warmblood–Dutch Warmblood, and Bavarian Warmblood–Oldenburg Horse. The breeds’ contribution equalled about 6% of the total genetic variability. The overall proportion of individuals correctly assigned to a population corresponded to 82.4%. The posterior Bayesian approach revealed a hierarchical dynamic genetic structure in four clusters (hot-blooded, warm-blooded, cold-blooded, and pony). While most of the populations were genetically distinct from each other and well-arranged with solid breed structures, some of the entire sets showed signs of admixture and/or fragmentation.


1999 ◽  
Vol 181 (4) ◽  
pp. 403-407 ◽  
Author(s):  
Motoki Sasaki ◽  
Hideki Endo ◽  
Daishiro Yamagiwa ◽  
Masako Yamamoto ◽  
Kazuyoshi Arishima ◽  
...  

2005 ◽  
Vol 42 (3) ◽  
pp. 127-134 ◽  
Author(s):  
Tadashi Yasui ◽  
Azuma Tsukise ◽  
Kousuke Fukui ◽  
Yasushi Kuwahara ◽  
Wilfried Meyer
Keyword(s):  

Oryx ◽  
1988 ◽  
Vol 22 (3) ◽  
pp. 154-157 ◽  
Author(s):  
Oliver A. Ryder

Efforts are under way to re-establish free-living populations of Przewalski's horse Equus przewalskii from zoo-bred individuals. The time is opportune to begin such initiatives as there are more than 660 individuals dispersed in over 70 zoological collections. In addition, the captive population is now increasing rapidly and has the potential to provide reasonable numbers of animals for reintroduction programmes without jeopardizing the maintenance of the population that serves as an ex-situ gene pool nucleus.


2013 ◽  
Vol 159 (5) ◽  
pp. 1159-1162 ◽  
Author(s):  
Xin Yin ◽  
Gang Lu ◽  
Wei Guo ◽  
Ting Qi ◽  
Jian Ma ◽  
...  

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