36  Factors influencing racing performance in Polish Thoroughbreds and Purebred Arabian horses

Klecel, Weronika; Drobik-Czwarno, Wioleta; Martyniuk, E.

doi:10.1016/j.jevs.2021.103499

Cited by 5 publications

(4 citation statements)

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“…A horse study reported that fatigue and inadequate recovery cause physical stress, leading to performance decline [ 15 ]. Although genetic factors likely play major roles in maintaining the high performance of racehorses, other factors, such as age, conformation, training, diet, and fitness, also affect the racing performance [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Comparison of the fecal microbiota with high- and low performance race horses

Park¹,

Yoon²,

Yun³

et al. 2024

J Anim Sci Technol

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Exercise plays an important role in regulating energy homeostasis, which affects the diversity of the intestinal microbial community in humans and animals. To the best of the authors’ knowledge, few studies have reported the associations between horse gut microbiota along with their predicted metabolic activities and the athletic ability of Jeju horses and Thoroughbreds living in Korea. This study was conducted to investigate the association between the gut microbiota and athletic performance in horses. This study sequenced the V3 and V4 hypervariable regions of the partial 16S rRNA genes obtained from racehorse fecal samples and compared the fecal microbiota between high- and low-performance Jeju horses and Thoroughbreds. Forty-nine fecal samples were divided into four groups: high-performance Jeju horses (HJ, n = 13), low-performance Jeju horses (LJ, n = 17), high-performance Thoroughbreds (HT, n = 9), and low-performance Thoroughbreds (LT, n = 10). The high-performance horse groups had a higher diversity of the bacterial community than the low-performance horse groups. Two common functional metabolic activities of the hindgut microbiota (i.e., tryptophan and succinate syntheses) were observed between the low-performance horse groups, indicating dysbiosis of gut microbiota and fatigue from exercise. On the other hand, high-performance horse groups showed enriched production of polyamines, butyrate, and vitamin K. The racing performance may be associated with the composition of the intestinal microbiota of Jeju horses and Thoroughbreds in Korea.

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Section: Introductionmentioning

confidence: 99%

Comparison of the fecal microbiota with high- and low performance race horses

Park¹,

Yoon²,

Yun³

et al. 2024

J Anim Sci Technol

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“…Genetic factors and ways of making use of them have recently been addressed by several authors (Oki et al, 2005;Williamson and Beilharz, 1998;Mota et al, 2011;McGivney et al, 2020;Bakhtiari and Kashan, 2009;Sobczyńska and Lukaszewicz, 2004;Burns et al, 2006). Although the non-genetic factors that influence the performance of racehorses are still less well known, factors examined by most studies include sex, age, breed class, track condition, handicap weight and distance (More, 1999;Jiskrova et al, 2004;Gramm and Marksteiner, 2010;Klecel et al, 2021;Sobczyńska, 2007). An understanding of the role of these and other factors may assist trainers and others to optimize the performance of the horses under their care (More, 1999).…”

Section: Introductionmentioning

confidence: 99%

Influence of horse demographics, country of training and race distance on the rating of Thoroughbreds

Sobotková,

Kopec,

Mikule

et al. 2023

Arch. Anim. Breed.

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Abstract. The aim of the research was to assess how age, sex, sire, country of foaling, country of training and race distance influenced the international racing and performance of Thoroughbreds. The research was based on performance ratings of 6216 horses assigned by the International Federation of Racing Authorities between 2004 and 2022. The most common sex was stallion (58.54 %) and more than half of the population consisted of 3- and 4-year-old horses (54.68 %). The majority of the horses had the USA as their country of foaling (25.92 %) and also as their country of training (24.87 %). The sire with the largest number of offspring in the International Federation of Horseracing Authorities (IFHA) databases was Galileo (IRE) (193 horses). Four of the 10 most frequently represented sires belonged to the Sadler's Wells (USA) paternal line. The analysis of the statistics in the database as a whole established a significant (p<0.001) influence of all observed factors. Stallions achieved a significantly higher rating (117.85) compared to geldings (117.17) and mares (117.13). The horses originating in Ireland achieved a statistically higher rating (117.99) than horses from Argentina, Australia, Brazil, New Zealand, a group of other countries designated “Others” and South Africa. Statistically conclusive differences were found between horses trained in Ireland (118.80) and all other countries except Great Britain and France. Five of the 10 sires with the best offspring rating belong to the Mr. Prospector (USA) paternal line.

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“…Horses that will become parents of the next generation should be selected for the highest possible genetic value. However, it is essential to use phenotypic values and correctly determine the effective factors to estimate the breeding value accurately and reliably [ 17 , 18 ]. It is also known that the statistical method used significantly affects the reliability of the results [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Random Regression Models with Different Order Legendre Polynomials for Genetic Parameter Estimation on Race Completion Speed of Arabian Horses

Önder

Şen

Piwczyński

et al. 2022

Animals

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This work aimed to compare the fitting performance of the random regression models applied to the different order orthogonal Legendre polynomials on the race completion speed (m/s) of Arabian racing horses. Legendre polynomial function for additive genetic, permanent environmental variances and heritability values with the L(2,2), L(2,3), L(3,2) and L(3,3) models (where L(i,j) means L(order of fit for additive genetic effects, order of fit for permanent environmental effects)) was estimated. A total of 233,491 race speed records (m/s) of Arabian horses were taken from the Jockey Club of Turkey between 2005 and 2016. The mean and standard deviation of heritability values were estimated as 0.294 ± 0.0746, 0.285 ± 0.0620, 0.302 ± 0.0767 and 0.290 ± 0.1018 for L(2,2), L(2,3), L(3,2), and L(3,3), respectively. The steady decreasing trend of permanent environmental variances for L(2,2) provided stationery for heritability values. According to Akaike information criterion (AIC) and Bayesian information criterion (BIC) values, the L(2,2) model could be reliably used to estimate heritability values for the racing speed of Arabian horses in the presence of repeated observations.

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36  Factors influencing racing performance in Polish Thoroughbreds and Purebred Arabian horses

Cited by 5 publications

References 0 publications

Comparison of the fecal microbiota with high- and low performance race horses

Comparison of the fecal microbiota with high- and low performance race horses

Influence of horse demographics, country of training and race distance on the rating of Thoroughbreds

Comparison of Random Regression Models with Different Order Legendre Polynomials for Genetic Parameter Estimation on Race Completion Speed of Arabian Horses

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36 Factors influencing racing performance in Polish Thoroughbreds and Purebred Arabian horses

Cited by 5 publications

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Comparison of the fecal microbiota with high- and low performance race horses

Comparison of the fecal microbiota with high- and low performance race horses

Influence of horse demographics, country of training and race distance on the rating of Thoroughbreds

Comparison of Random Regression Models with Different Order Legendre Polynomials for Genetic Parameter Estimation on Race Completion Speed of Arabian Horses

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36  Factors influencing racing performance in Polish Thoroughbreds and Purebred Arabian horses