Correlation Analysis Between Stride Characteristics and Racing Ability of 2-year-old Yili Horses in Track Conditions.
Abstract: In this study, we aimed to explore correlations among stride characteristics, time records, and bonus amounts to identify relevant indices for evaluating racing abilities of 2-year-old Yili horses. In total, 41 and 26 Yili horses were enrolled in the 1600 and 3600 m races, respectively. This experiment was performed by measuring their stride characteristics using a high-speed video and collecting time records during the competition and the bonus amounts. The results showed that the 2-year-old Yili horses' stride length (SL), stride frequency (SF), middle SL (mid SL), hind limb SL (hind SL), forelimb SL (fore SL), aerial duration SL (AD SL), stride angle, and advanced placement (AP) between the leading hind limb and trailing forelimb (AP LH-TF) were significantly and positively correlated with the bonus (P < .01). The bonus group had significantly higher values for these variables than the nonbonus group (P < .05); the stance duration and the overlap between LH and TF (overlap LH-TF) were negatively correlated with the bonus (P < .01), and the bonus group had a significantly lower overlap LH-TF value than the non-bonus group (P < .01). These findings indicated that 2-year-old Yili horses with greater SL, SF, mid SL, fore SL, AD SL, and stride angle values have better racing abilities. Likewise, smaller stance and overlap LH-TF values correspond to better horse racing abilities. The swing trailing hind limb, mid SL, AP LH-TF, and SF were filtrated by stepwise regression analysis as the primary indices for evaluating the racing ability of 2-year-old Yili horses.
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Publication Date: 2018-12-30 PubMed ID: 31002087DOI: 10.1016/j.jevs.2018.12.022Google Scholar: Lookup
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- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
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The research investigated the connection between stride characteristics, time records, and winnings of 2-year-old Yili horses to find reliable factors for rating racing capacity. The authors discovered that several stride attributes were positively correlated with the horses’ winnings, signifying that horses with better stride characteristics performed better in races.
Study Participants and Data Collection
- The study took into consideration 41 and 26 Yili horses participating in the 1600-meter and 3600-meter races respectively.
- Researchers collected stride characteristics data using a high-speed video camera and noted down the time records and bonus amounts received by each horse.
- Stride characteristics observed and recorded included stride length (SL), stride frequency (SF), middle SL, hind limb SL, forelimb SL, aerial duration SL (AD SL), stride angle, advanced placement between the leading hind limb and trailing forelimb (AP LH-TF), stance duration and the overlap between LH and TF (overlap LH-TF).
Results and Findings
- Eight attributes including SL, SF, mid SL, hind SL, fore SL, AD SL, stride angle, and AP LH-TF showed a significant positive correlation with the bonus amount, indicating that horses with these attributes performed better.
- On the contrary, stance duration and overlap LH-TF were negatively correlated with the bonus earned, suggesting that lower values in these characteristics corresponded to better performance.
- Furthermore, a stepwise regression analysis pointed out that the swing trailing hind limb, mid SL, AP LH-TF, and SF were the most important indicators for evaluating the racing abilities of these horses.
Implications of the Study
- The outcomes pointed out the key stride features that equate to better race performance in 2-year-old Yili horses.
- The research aids in better understanding how stride attributes can impact the racing capabilities of horses, providing scientific metrics for evaluation and selection of racing horses.
Cite This Article
APA
Zeng Y, Meng J, Wang J, Kong Q, Li L, Ge S, Ren X, Yao X, Liu W.
(2018).
Correlation Analysis Between Stride Characteristics and Racing Ability of 2-year-old Yili Horses in Track Conditions.
J Equine Vet Sci, 75, 19-24.
https://doi.org/10.1016/j.jevs.2018.12.022 Publication
Researcher Affiliations
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China.
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China. Electronic address: yxk61@126.com.
- College of Animal Science, Xinjiang Agricultural University, Urumqi, China. Electronic address: 542190405@qq.com.
MeSH Terms
- Animals
- Forelimb
- Gait
- Hindlimb
- Horses
- Regression Analysis
Citations
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