• Journal of Animal Science and Technology
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• v.50 no.6
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• pp.747-752
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• 2008

This study was carried out to calculate genetic trends on racing speed traits of Thoroughbred racehorses, using a total 208,043 racing records of 9,934 heads collected from January, 1990 to December, 2006 in Gwacheon racecourse. Repeated time, winning time and annual best time were used racing speed traits. The estimated heritabilities and repeatabilities for repeated time, winning time and annual best time were 0.288, 0.275, 0.341 and 0.502, 0.475, 0.496, respectively. Average phenotypic improvement per race year for racing speed traits were ranged from －0.115 to 0.148 second. The other side, the genetic improvement per race year for repeated time was －0.027 second but winning time and annual best time were not shown consistent trends. Therefore, we concluded that repeated time is recommended improvement trait of Thoroughbred racehorses.

• Journal of Animal Science and Technology
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• v.50 no.6
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• pp.741-746
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• 2008

The objective of this study was to estimate the effects of change in body weight on racing time in Thoroughbred racehorses, using total 8,197 horses and 155,656 racing records collected from Korea Racing Association(KRA). The average body weight of the racehorses was 449kg, and the average body weights of stallion, gelding and mare were 460kg, 454kg and 441kg, respectively. Body weight of stallion was the greatest. The considerable loss of body weight was observed in March, April and May for mare, and in May, Jun and July for stallion and gelding. Overall, the body weight of the racehorses decreased in spring and summer, and increased in autumn and winter. The estimated heritability and repeatability for racing time were 0.237 and 0.525, respectively. The heritability for body weight estimated from total records was 0.612. The estimated heri- tabilities for body weight were 0.472, 0.578 and 0.555 for gelding, stallion and mare, respectively. As the change of body weight was greater than ±10kg, the racing time increased significantly. When the body weight changed more than ±20kg in comparison to the changes of body weight of ±5kg, the racing time increased by 0.3 second. When the change of body weight was ±0.5% of body weight, the racing time was the best(fastest). When the change of body weight was more than ±2.5%, racing performance decreased considerably.

• Journal of Animal Science and Technology
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• v.53 no.1
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• pp.23-27
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• 2011

This study was conducted to provide basic information for the improvement of racing performance of Jeju pony & Halla horse, using the 85,732 racing records collected from Jeju & Kwacheon racecourses from January 1, 2005 to December 31, 2009. During the last 5 years, a total of 2,892 heads of horses were racing at the Jeju racecourse and 11.7% (338 heads) of them were Jeju ponies. The average body weight of Jeju pony and Halla horse were 267 kg & 287 kg, respectively, which were 58% and 62% of that of Thoroughbred (460 kg). The repeatabilities of Jeju pony, Halla horse and Thoroughbred for finishing time were estimated in the range of 0.26-0.66 (average, 0.54), 0.34-0.68 (average, 0.56) and 0.37-0.60 (average, 0.50), respectively, and as the racing distance increased, the repeatabilities decreased. In the racing distance of 1,000 m, the differences in the finishing times between Thoroughbred & Jeju pony, Thoroughbred & Halla horse, and Jeju pony & Halla horse were 24.33 seconds, 10.81 seconds and 13.52 seconds, respectively. The racing performance of Halla horse was improved by 55.6% than that of Jeju pony at the 1,000 m race.

• Journal of Animal Science and Technology
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• v.50 no.3
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• pp.309-314
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• 2008

The objective of this study was to estimate effects of the condition of racetrack on racing time in Thoroughbred racehorses, using 148,865 racing records for 8,189 heads that collected from KRA(Korea Racing Association). The results obtained were as follows. Based on moisture contents, the condition of racetrack was classified into Heavy, Good, Soft, Yielding and Sloppy. The condition of racetrack for last 12 years was 40.7%, 34.4%, 14.4%, 8.7% and 1.8% for Heavy, Good, Soft, Yielding and Sloppy, respectively. The frequency of heavy condition for racetrack was the highest and those of Yielding and Sloppy were relatively low. On the other hand, the frequency of heavy condition for racetrack was increased in spring and winter, whereas frequency of sloppy racetrack was increased in summer. The frequency of good condition was the highest in autumn. The regression coefficients of moisture contents in racetrack for racing time by racing distance ranged from －0.068~－0.162 seconds and the racing time was faster in sloppy condition than other track conditions. The time differences between Heavy and Sloppy ranged from －1.47~－3.41 seconds by distance.

• Journal of Life Science
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• v.31 no.9
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• pp.840-848
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• 2021

This study was conducted to estimate annual trends and the environmental effects in the racing records of Jeju horses. The Korean Racing Authority (KRA) collected 48,645 observations for 2,167 Jeju horses from 2002 to 2019. Racing records were preprocessed to eliminate errors that occur during the data collection. Racing times were adjusted for comparison between race distances. A stepwise Akaike information criterion (AIC) variable selection method was applied to select appropriate environment variables affecting racing records. The annual improvement of the race time was -0.242 seconds. The model with the lowest AIC value was established when variables were selected in the following order: year, budam classification, jockey ranking, trainer ranking, track condition, weather, age, and gender. The most suitable model was constructed when the jockey ranking and age variables were considered as random effects. Our findings have potential for application as basic data when building models for evaluating genetic abilities of Jeju horses.

• Journal of Animal Science and Technology
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• v.50 no.1
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• pp.27-32
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• 2008

The objective of this study was to estimate genetic trend on racing time of Thoroughbred racehorses in Korea, using a total of 209,725 racing records of 9,934 racehorses collection from January, 1990 to December, 2006. Phenotypic trends for all distances were negative at a rate of －0.148, －0.137, －0.137 and －0.139 second per race year for distances of 1,000m, 1,400m less than, 1,700m more than and overall dataset, respectively. Environmental trends were similar to phenotypic ones in all distances and trends in permanent environmental and jockey effects by race year were not found. Average genetic improvements for racing time were －0.037 and －0.030 second per race year at the 1,000m and overall dataset, respectively, which is low. But Genetic trends were decreased consistently. There is need to establish the genetic improvement program for quality of racehorses.

• Journal of Animal Science and Technology
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• v.52 no.2
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• pp.97-102
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• 2010

The objective of this study was to examine the suitability of genetic evaluation models using the integrated racing records collected from Gwacheon and Busan Gyeongnam racetracks. Results obtained are summarized as follows: In the short-distance races of 1,400 meters and less the records of finishing time at Gwacheon racetrack was superior, whereas, in the races of 1,800 meters and more it was superior in the records from Busan Gyeongnam racetrack. The effects of contemporary groups accounted for 42.7~70.2% of the total variation, and the effects of the individual race considering racing classes was the biggest in all racing distances. Heritabilities and repeatabilities for the finishing time were estimated in the range of 0.153-0.238 and 0.401-0.498, respectively. Correlation coefficients between the breeding values estimated from the integrated records and the breeding values estimated from records of Gwacheon and Busan-Gyeongnam were 0.907 and 0.803, and coefficients of rank correlations were 0.891 and 0.846, respectively. The correlation coefficients between sire's annual earning of the integrated records and Gwacheon and Busan Gyeongnam racetracks records were 0.943 and 0.886, and coefficients of rank correlations were 0.938 and 0.853, respectively. Also, the correlation coefficient of sire's annual earning between Gwacheon and Busan Gyeongnam racetracks was 0.742. The results of this analysis indicate that the genetic evaluation using the integrated racing records are reliable when the racing records from Busan Gyeongnam racetracks are stabilized and more data are accumulated.

• Journal of Animal Science and Technology
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• v.51 no.2
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• pp.129-134
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• 2009

The aim of this study was to estimate genetic parameters and annual trends on the racing performance of Thoroughbred horses by a statistical analysis of the resulting records. We used the racing results of 245,979 observations for 13,458 horses recorded in 19 years of race held at Seoul and Busan racing tracks, provided by Korea Racing Authority. After a careful adjustment of some variables such as racing times, jockey and trainer numbers and the average prize a horse won, we selected significant factors that explain the result of racing records of a horse by stepwise AIC and BIC methods. The estimated heritability and repeatability were 0.322 and 0.332, respectively. The average of annual phenotypic and genetic improvement was -0.166 seconds and -0.161 seconds, respectively. Based on the statistical approach, we established reasonable animal model of well-set variables, which is important in the study on estimating performance of racing horses.

• Korean Journal of Materials Research
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• v.6 no.10
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• pp.1043.2-1048
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• 1996

자기기록의 고밀도화로 인해 보자력(Hc)이 큰 자기기록매체가 필요하게 되었다. 고보자력매체에 신호를 충분히 기록하기 위해서는 보다 강한 자장이 필요하다. 이 때문에 포화자화(Ms)가 큰 재료가 필요하며 고주파 영역에서 실효투자율($\mu$eff)이 높아야 한다. Fe계 합금박막은 이에 적합한 재료이다. 본 연구에서는 Fe의 결정자기이방성에 영향을 미치는 Si과 Fe의 격자 변형을 유도할 수 있는 B를 첨가하였다. Fe-B-Si 계 박막을 질소분위기 중에서 RF Matnetron Sputter로 제작하여 연자기적 특성에 관하여 고찰하였다. Fe91.49B4.01Si4.50at% 박막은 35$0^{\circ}C$에서 1시간 열처리를 행함으로써 약 900(10MHz) 정도의 투자율과 7.6Oe의 보자력을 나타냈으며 포화자화는 1300emu/㎤를 얻었다.

• Geophysics and Geophysical Exploration
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• v.3 no.1
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• pp.7-12
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• 2000

The paper discusses a data processing methodology that derives a three dimensional porosity volume information from the 3-D seismic dataset. The methodology consists of preprocessing and inversion procedures. The purpose of the preprocessing is balancing the amplitudes of seismic traces by using reflectivity series derived from sonic and density logs. There are eight sonic logs are available in the study area; therefore, we can compute only 8 balance functions. The balance function for every seismic trace was derived from these 8 balance functions by kriging. In order to derive a wide-band acoustic impedance --similar to the one can be derived from a sonic log- from a band-limited reflection seismogram, we need to recover missing low- and high-frequency information of the seismic trace. For that Purpose we use the autoregressive method.